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| { | |
| "cells": [ | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "# Plotting Financial Data in Kotlin with Kandy" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Hi! I want to show a simple financial data workflow – download, analysis, and visualizations – using Kotlin for Data Analysis tools." | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## Tools" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "For working with datasets (loading and processing), I use [Kotlin DataFrame](https://github.com/Kotlin/dataframe). It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data analytics.\n", | |
| "I also use the [Kandy](https://github.com/Kotlin/kandy) - Kotlin plotting library, designed specifically for full compatibility with Kotlin DataFrame. It brings many types of plots (including statistical) with rich customization options via a powerful Kotlin DSL.\n", | |
| "The best way to run all of this is [Kotlin Notebook](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook). It works out of the box, has native rendering of Kandy plots and DataFrame tables, and has IntelliJ IDEA support. It can also be run in Jupyter notebooks with a [Kotlin kernel](https://github.com/Kotlin/kotlin-jupyter) and on [Datalore](https://datalore.jetbrains.com)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "collapsed": true, | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:34.434163Z", | |
| "start_time": "2024-04-08T14:34:21.502024Z" | |
| } | |
| }, | |
| "source": [ | |
| "// Fetch the latest versions\n", | |
| "%useLatestDescriptors\n", | |
| "// This line adds all neccessary imports and rendering \n", | |
| "// for Datafarme and Kandy\n", | |
| "%use dataframe, kandy" | |
| ], | |
| "outputs": [], | |
| "execution_count": 1 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## Data" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Load and Info" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "I downloaded the last six months of [**NASDAQ Composite Index (COMP)**](https://en.wikipedia.org/wiki/Nasdaq_Composite) historical data as a CSV file (available on [the official website](https://www.nasdaq.com/market-activity/index/comp/historical)). This process applies to any kind of financial data related to stock, foreign exchange, or cryptocurrency markets. You can download such data from the [NASDAQ](https://www.nasdaq.com), [YAHOO Finance](https://finance.yahoo.com), or other sources. The dataset I used can be accessed [here](https://gist.github.com/AndreiKingsley/5fe289c4f694161fa557b55fcf6ab88f). Note that with a different dataset, the plots will be different.\n", | |
| "\n", | |
| "Create a dataframe with data from this file and take a look at its head:" | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:35.522795Z", | |
| "start_time": "2024-04-08T14:34:34.447004Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "// read CSV file into DataFrame\n", | |
| "val dfRaw = DataFrame.readCSV(\"nasdaq_comp_6m.csv\")\n", | |
| "dfRaw.head()" | |
| ], | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| " <iframe onload=\"o_resize_iframe_out_1()\" style=\"width:100%;\" class=\"result_container\" id=\"iframe_out_1\" frameBorder=\"0\" srcdoc=\" <html>\n", | |
| " <head>\n", | |
| " <style type="text/css">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
| " color: var(--link-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a:hover {\n", | |
| " color: var(--link-hover);\n", | |
| " text-decoration: underline;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe img {\n", | |
| " max-width: fit-content;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.complex {\n", | |
| " background-color: var(--background);\n", | |
| " border: 1px solid var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .leftBorder {\n", | |
| " border-left-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightBorder {\n", | |
| " border-right-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
| " color: var(--text-color-medium);\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .dataFrameCaption {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .numbers {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| ":root {\n", | |
| " --scroll-bg: #f5f5f5;\n", | |
| " --scroll-fg: #b3b3b3;\n", | |
| "}\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"]{\n", | |
| " --scroll-bg: #3c3c3c;\n", | |
| " --scroll-fg: #97e1fb;\n", | |
| "}\n", | |
| "body {\n", | |
| " scrollbar-color: var(--scroll-fg) var(--scroll-bg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar {\n", | |
| " width: 10px; /* Mostly for vertical scrollbars */\n", | |
| " height: 10px; /* Mostly for horizontal scrollbars */\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-thumb {\n", | |
| " background-color: var(--scroll-fg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-track {\n", | |
| " background-color: var(--scroll-bg);\n", | |
| "}\n", | |
| " </style>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <table class="dataframe" id="df_-385875968"></table>\n", | |
| "\n", | |
| "<p class="dataframe_description">DataFrame: rowsCount = 5, columnsCount = 5</p>\n", | |
| "\n", | |
| " </body>\n", | |
| " <script>\n", | |
| " (function () {\n", | |
| " window.DataFrame = window.DataFrame || new (function () {\n", | |
| " this.addTable = function (df) {\n", | |
| " let cols = df.cols;\n", | |
| " for (let i = 0; i < cols.length; i++) {\n", | |
| " for (let c of cols[i].children) {\n", | |
| " cols[c].parent = i;\n", | |
| " }\n", | |
| " }\n", | |
| " df.nrow = 0\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length\n", | |
| " }\n", | |
| " if (df.id === df.rootId) {\n", | |
| " df.expandedFrames = new Set()\n", | |
| " df.childFrames = {}\n", | |
| " const table = this.getTableElement(df.id)\n", | |
| " table.df = df\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " let col = df.cols[i]\n", | |
| " if (col.parent === undefined && col.children.length > 0) col.expanded = true\n", | |
| " }\n", | |
| " } else {\n", | |
| " const rootDf = this.getTableData(df.rootId)\n", | |
| " rootDf.childFrames[df.id] = df\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderData = function (df) {\n", | |
| " let result = []\n", | |
| " let pos = 0\n", | |
| " for (let col = 0; col < df.cols.length; col++) {\n", | |
| " if (df.cols[col].parent === undefined)\n", | |
| " pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)\n", | |
| " }\n", | |
| " for (let i = 0; i < result.length; i++) {\n", | |
| " let row = result[i]\n", | |
| " for (let j = 0; j < row.length; j++) {\n", | |
| " let cell = row[j]\n", | |
| " if (j === 0)\n", | |
| " cell.leftBd = false\n", | |
| " if (j < row.length - 1) {\n", | |
| " let nextData = row[j + 1]\n", | |
| " if (nextData.leftBd) cell.rightBd = true\n", | |
| " else if (cell.rightBd) nextData.leftBd = true\n", | |
| " } else cell.rightBd = false\n", | |
| " }\n", | |
| " }\n", | |
| " return result\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {\n", | |
| " if (result.length === depth) {\n", | |
| " const array = [];\n", | |
| " if (pos > 0) {\n", | |
| " let j = 0\n", | |
| " for (let i = 0; j < pos; i++) {\n", | |
| " let c = result[depth - 1][i]\n", | |
| " j += c.span\n", | |
| " let copy = Object.assign({empty: true}, c)\n", | |
| " array.push(copy)\n", | |
| " }\n", | |
| " }\n", | |
| " result.push(array)\n", | |
| " }\n", | |
| " const col = cols[colId];\n", | |
| " let size = 0;\n", | |
| " if (col.expanded) {\n", | |
| " let childPos = pos\n", | |
| " for (let i = 0; i < col.children.length; i++) {\n", | |
| " let child = col.children[i]\n", | |
| " let childLeft = i === 0 && (col.children.length > 1 || leftBorder)\n", | |
| " let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)\n", | |
| " let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)\n", | |
| " childPos += childSize\n", | |
| " size += childSize\n", | |
| " }\n", | |
| " } else {\n", | |
| " for (let i = depth + 1; i < result.length; i++)\n", | |
| " result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})\n", | |
| " size = 1\n", | |
| " }\n", | |
| " let left = leftBorder\n", | |
| " let right = rightBorder\n", | |
| " if (size > 1) {\n", | |
| " left = true\n", | |
| " right = true\n", | |
| " }\n", | |
| " result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})\n", | |
| " return size\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableElement = function (id) {\n", | |
| " return document.getElementById("df_" + id)\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableData = function (id) {\n", | |
| " return this.getTableElement(id).df\n", | |
| " }\n", | |
| "\n", | |
| " this.createExpander = function (isExpanded) {\n", | |
| " const svgNs = "http://www.w3.org/2000/svg"\n", | |
| " let svg = document.createElementNS(svgNs, "svg")\n", | |
| " svg.classList.add("expanderSvg")\n", | |
| " let path = document.createElementNS(svgNs, "path")\n", | |
| " if (isExpanded) {\n", | |
| " svg.setAttribute("viewBox", "0 -2 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")\n", | |
| " } else {\n", | |
| " svg.setAttribute("viewBox", "-2 0 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")\n", | |
| " }\n", | |
| " path.setAttribute("fill", "currentColor")\n", | |
| " svg.appendChild(path)\n", | |
| " return svg\n", | |
| " }\n", | |
| "\n", | |
| " this.renderTable = function (id) {\n", | |
| "\n", | |
| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
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| " <table class=\"dataframe\" id=\"static_df_-385875967\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">Date</th><th class=\"bottomBorder\" style=\"text-align:left\">Close/Last</th><th class=\"bottomBorder\" style=\"text-align:left\">Open</th><th class=\"bottomBorder\" style=\"text-align:left\">High</th><th class=\"bottomBorder\" style=\"text-align:left\">Low</th></tr></thead><tbody><tr><td style=\"vertical-align:top\">03/20/2024</td><td style=\"vertical-align:top\">16369,410000</td><td style=\"vertical-align:top\">16185,760000</td><td style=\"vertical-align:top\">16377,440000</td><td style=\"vertical-align:top\">16127,480000</td></tr><tr><td style=\"vertical-align:top\">03/19/2024</td><td style=\"vertical-align:top\">16166,790000</td><td style=\"vertical-align:top\">16031,930000</td><td style=\"vertical-align:top\">16175,590000</td><td style=\"vertical-align:top\">15951,860000</td></tr><tr><td style=\"vertical-align:top\">03/18/2024</td><td style=\"vertical-align:top\">16103,450000</td><td style=\"vertical-align:top\">16154,920000</td><td style=\"vertical-align:top\">16247,590000</td><td style=\"vertical-align:top\">16094,170000</td></tr><tr><td style=\"vertical-align:top\">03/15/2024</td><td style=\"vertical-align:top\">15973,170000</td><td style=\"vertical-align:top\">16043,580000</td><td style=\"vertical-align:top\">16055,330000</td><td style=\"vertical-align:top\">15925,910000</td></tr><tr><td style=\"vertical-align:top\">03/14/2024</td><td style=\"vertical-align:top\">16128,530000</td><td style=\"vertical-align:top\">16209,190000</td><td style=\"vertical-align:top\">16245,320000</td><td style=\"vertical-align:top\">16039,680000</td></tr></tbody></table>\n", | |
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| }, | |
| "execution_count": 2, | |
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| "execution_count": 2 | |
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| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Check out the dataset summary using the `.describe()` method, which shows information about DataFrame columns (including their name, type, null values, and simple descriptive statistics):" | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:35.749448Z", | |
| "start_time": "2024-04-08T14:34:35.527851Z" | |
| } | |
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| "cell_type": "code", | |
| "source": "dfRaw.describe()", | |
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| " df.childFrames = {}\n", | |
| " const table = this.getTableElement(df.id)\n", | |
| " table.df = df\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " let col = df.cols[i]\n", | |
| " if (col.parent === undefined && col.children.length > 0) col.expanded = true\n", | |
| " }\n", | |
| " } else {\n", | |
| " const rootDf = this.getTableData(df.rootId)\n", | |
| " rootDf.childFrames[df.id] = df\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderData = function (df) {\n", | |
| " let result = []\n", | |
| " let pos = 0\n", | |
| " for (let col = 0; col < df.cols.length; col++) {\n", | |
| " if (df.cols[col].parent === undefined)\n", | |
| " pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)\n", | |
| " }\n", | |
| " for (let i = 0; i < result.length; i++) {\n", | |
| " let row = result[i]\n", | |
| " for (let j = 0; j < row.length; j++) {\n", | |
| " let cell = row[j]\n", | |
| " if (j === 0)\n", | |
| " cell.leftBd = false\n", | |
| " if (j < row.length - 1) {\n", | |
| " let nextData = row[j + 1]\n", | |
| " if (nextData.leftBd) cell.rightBd = true\n", | |
| " else if (cell.rightBd) nextData.leftBd = true\n", | |
| " } else cell.rightBd = false\n", | |
| " }\n", | |
| " }\n", | |
| " return result\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {\n", | |
| " if (result.length === depth) {\n", | |
| " const array = [];\n", | |
| " if (pos > 0) {\n", | |
| " let j = 0\n", | |
| " for (let i = 0; j < pos; i++) {\n", | |
| " let c = result[depth - 1][i]\n", | |
| " j += c.span\n", | |
| " let copy = Object.assign({empty: true}, c)\n", | |
| " array.push(copy)\n", | |
| " }\n", | |
| " }\n", | |
| " result.push(array)\n", | |
| " }\n", | |
| " const col = cols[colId];\n", | |
| " let size = 0;\n", | |
| " if (col.expanded) {\n", | |
| " let childPos = pos\n", | |
| " for (let i = 0; i < col.children.length; i++) {\n", | |
| " let child = col.children[i]\n", | |
| " let childLeft = i === 0 && (col.children.length > 1 || leftBorder)\n", | |
| " let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)\n", | |
| " let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)\n", | |
| " childPos += childSize\n", | |
| " size += childSize\n", | |
| " }\n", | |
| " } else {\n", | |
| " for (let i = depth + 1; i < result.length; i++)\n", | |
| " result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})\n", | |
| " size = 1\n", | |
| " }\n", | |
| " let left = leftBorder\n", | |
| " let right = rightBorder\n", | |
| " if (size > 1) {\n", | |
| " left = true\n", | |
| " right = true\n", | |
| " }\n", | |
| " result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})\n", | |
| " return size\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableElement = function (id) {\n", | |
| " return document.getElementById("df_" + id)\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableData = function (id) {\n", | |
| " return this.getTableElement(id).df\n", | |
| " }\n", | |
| "\n", | |
| " this.createExpander = function (isExpanded) {\n", | |
| " const svgNs = "http://www.w3.org/2000/svg"\n", | |
| " let svg = document.createElementNS(svgNs, "svg")\n", | |
| " svg.classList.add("expanderSvg")\n", | |
| " let path = document.createElementNS(svgNs, "path")\n", | |
| " if (isExpanded) {\n", | |
| " svg.setAttribute("viewBox", "0 -2 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")\n", | |
| " } else {\n", | |
| " svg.setAttribute("viewBox", "-2 0 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")\n", | |
| " }\n", | |
| " path.setAttribute("fill", "currentColor")\n", | |
| " svg.appendChild(path)\n", | |
| " return svg\n", | |
| " }\n", | |
| "\n", | |
| " this.renderTable = function (id) {\n", | |
| "\n", | |
| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
| " } else {\n", | |
| " let i = -1, children = node.childNodes;\n", | |
| " while (++i < children.length) {\n", | |
| " this.nodeScriptReplace(children[i]);\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " return node;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptClone = function (node) {\n", | |
| " let script = document.createElement("script");\n", | |
| " script.text = node.innerHTML;\n", | |
| "\n", | |
| " let i = -1, attrs = node.attributes, attr;\n", | |
| " while (++i < attrs.length) {\n", | |
| " script.setAttribute((attr = attrs[i]).name, attr.value);\n", | |
| " }\n", | |
| " return script;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptIs = function (node) {\n", | |
| " return node.tagName === 'SCRIPT';\n", | |
| " }\n", | |
| " })()\n", | |
| "\n", | |
| " window.call_DataFrame = function (f) {\n", | |
| " return f();\n", | |
| " };\n", | |
| "\n", | |
| " let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];\n", | |
| " if (funQueue) {\n", | |
| " funQueue.forEach(function (f) {\n", | |
| " f();\n", | |
| " });\n", | |
| " funQueue = [];\n", | |
| " }\n", | |
| "})()\n", | |
| "\n", | |
| "/*<!--*/\n", | |
| "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Date","Close/Last","Open","High","Low"] }, \n", | |
| "{ name: "<span title=\"type: Any\">type</span>", children: [], rightAlign: false, values: ["String","Double","Double","Double","Double"] }, \n", | |
| "{ name: "<span title=\"count: Int\">count</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>"] }, \n", | |
| "{ name: "<span title=\"unique: Int\">unique</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>"] }, \n", | |
| "{ name: "<span title=\"nulls: Int\">nulls</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>"] }, \n", | |
| "{ name: "<span title=\"top: Comparable<*>\">top</span>", children: [], rightAlign: false, values: ["03/20/2024","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16369,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16185,8</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16377,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16127,5</span></span>"] }, \n", | |
| "{ name: "<span title=\"freq: Int\">freq</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>"] }, \n", | |
| "{ name: "<span title=\"mean: Double?\">mean</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14620,494000</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14606,284640</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14691,599680</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14523,346240</span></span>"] }, \n", | |
| "{ name: "<span title=\"std: Double?\">std</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1082,262611</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1079,916315</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1073,478378</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1081,460503</span></span>"] }, \n", | |
| "{ name: "<span title=\"min: Comparable<*>\">min</span>", children: [], rightAlign: false, values: ["01/02/2024","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12595,6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12718,7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12772,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12543,9</span></span>"] }, \n", | |
| "{ name: "<span title=\"median: Comparable<*>\">median</span>", children: [], rightAlign: false, values: ["10/02/2023","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14761,6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14641,5</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14846,9</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14577,4</span></span>"] }, \n", | |
| "{ name: "<span title=\"max: Comparable<*>\">max</span>", children: [], rightAlign: false, values: ["12/29/2023","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16369,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16322,1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16449,7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16199,1</span></span>"] }, \n", | |
| "], id: -385875966, rootId: -385875966, totalRows: 5 } ) });\n", | |
| "/*-->*/\n", | |
| "\n", | |
| "call_DataFrame(function() { DataFrame.renderTable(-385875966) });\n", | |
| "\n", | |
| "\n", | |
| " </script>\n", | |
| " </html>\"></iframe>\n", | |
| " <script>\n", | |
| " function o_resize_iframe_out_2() {\n", | |
| " let elem = document.getElementById(\"iframe_out_2\");\n", | |
| " resize_iframe_out_2(elem);\n", | |
| " setInterval(resize_iframe_out_2, 5000, elem);\n", | |
| " }\n", | |
| " function resize_iframe_out_2(el) {\n", | |
| " let h = el.contentWindow.document.body.scrollHeight;\n", | |
| " el.height = h === 0 ? 0 : h + 41;\n", | |
| " }\n", | |
| " </script> <html>\n", | |
| " <head>\n", | |
| " <style type=\"text/css\">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
| " color: var(--link-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a:hover {\n", | |
| " color: var(--link-hover);\n", | |
| " text-decoration: underline;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe img {\n", | |
| " max-width: fit-content;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.complex {\n", | |
| " background-color: var(--background);\n", | |
| " border: 1px solid var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .leftBorder {\n", | |
| " border-left-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightBorder {\n", | |
| " border-right-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
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| " </head>\n", | |
| " <body>\n", | |
| " <table class=\"dataframe\" id=\"static_df_-385875965\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">name</th><th class=\"bottomBorder\" style=\"text-align:left\">type</th><th class=\"bottomBorder\" style=\"text-align:left\">count</th><th class=\"bottomBorder\" style=\"text-align:left\">unique</th><th class=\"bottomBorder\" style=\"text-align:left\">nulls</th><th class=\"bottomBorder\" style=\"text-align:left\">top</th><th class=\"bottomBorder\" style=\"text-align:left\">freq</th><th class=\"bottomBorder\" style=\"text-align:left\">mean</th><th class=\"bottomBorder\" style=\"text-align:left\">std</th><th class=\"bottomBorder\" style=\"text-align:left\">min</th><th class=\"bottomBorder\" style=\"text-align:left\">median</th><th class=\"bottomBorder\" style=\"text-align:left\">max</th></tr></thead><tbody><tr><td style=\"vertical-align:top\">Date</td><td style=\"vertical-align:top\">String</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">0</td><td style=\"vertical-align:top\">03/20/2024</td><td style=\"vertical-align:top\">1</td><td style=\"vertical-align:top\">null</td><td style=\"vertical-align:top\">null</td><td style=\"vertical-align:top\">01/02/2024</td><td style=\"vertical-align:top\">10/02/2023</td><td style=\"vertical-align:top\">12/29/2023</td></tr><tr><td style=\"vertical-align:top\">Close/Last</td><td style=\"vertical-align:top\">Double</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">0</td><td style=\"vertical-align:top\">16369,410000</td><td style=\"vertical-align:top\">1</td><td style=\"vertical-align:top\">14620,494000</td><td style=\"vertical-align:top\">1082,262611</td><td style=\"vertical-align:top\">12595,610000</td><td style=\"vertical-align:top\">14761,560000</td><td style=\"vertical-align:top\">16369,410000</td></tr><tr><td style=\"vertical-align:top\">Open</td><td style=\"vertical-align:top\">Double</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">0</td><td style=\"vertical-align:top\">16185,760000</td><td style=\"vertical-align:top\">1</td><td style=\"vertical-align:top\">14606,284640</td><td style=\"vertical-align:top\">1079,916315</td><td style=\"vertical-align:top\">12718,690000</td><td style=\"vertical-align:top\">14641,470000</td><td style=\"vertical-align:top\">16322,100000</td></tr><tr><td style=\"vertical-align:top\">High</td><td style=\"vertical-align:top\">Double</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">0</td><td style=\"vertical-align:top\">16377,440000</td><td style=\"vertical-align:top\">1</td><td style=\"vertical-align:top\">14691,599680</td><td style=\"vertical-align:top\">1073,478378</td><td style=\"vertical-align:top\">12772,430000</td><td style=\"vertical-align:top\">14846,900000</td><td style=\"vertical-align:top\">16449,700000</td></tr><tr><td style=\"vertical-align:top\">Low</td><td style=\"vertical-align:top\">Double</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">125</td><td style=\"vertical-align:top\">0</td><td style=\"vertical-align:top\">16127,480000</td><td style=\"vertical-align:top\">1</td><td style=\"vertical-align:top\">14523,346240</td><td style=\"vertical-align:top\">1081,460503</td><td style=\"vertical-align:top\">12543,860000</td><td style=\"vertical-align:top\">14577,440000</td><td style=\"vertical-align:top\">16199,060000</td></tr></tbody></table>\n", | |
| " </body>\n", | |
| " <script>\n", | |
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| " </script>\n", | |
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| ], | |
| "application/kotlindataframe+json": "{\"$version\":\"2.0.0\",\"metadata\":{\"columns\":[\"name\",\"type\",\"count\",\"unique\",\"nulls\",\"top\",\"freq\",\"mean\",\"std\",\"min\",\"median\",\"max\"],\"nrow\":5,\"ncol\":12},\"kotlin_dataframe\":[{\"name\":\"Date\",\"type\":\"String\",\"count\":125,\"unique\":125,\"nulls\":0,\"top\":\"03/20/2024\",\"freq\":1,\"mean\":null,\"std\":null,\"min\":\"01/02/2024\",\"median\":\"10/02/2023\",\"max\":\"12/29/2023\"},{\"name\":\"Close/Last\",\"type\":\"Double\",\"count\":125,\"unique\":125,\"nulls\":0,\"top\":\"16369.41\",\"freq\":1,\"mean\":14620.494000000006,\"std\":1082.2626109422556,\"min\":\"12595.61\",\"median\":\"14761.56\",\"max\":\"16369.41\"},{\"name\":\"Open\",\"type\":\"Double\",\"count\":125,\"unique\":125,\"nulls\":0,\"top\":\"16185.76\",\"freq\":1,\"mean\":14606.284640000002,\"std\":1079.9163153782947,\"min\":\"12718.69\",\"median\":\"14641.47\",\"max\":\"16322.1\"},{\"name\":\"High\",\"type\":\"Double\",\"count\":125,\"unique\":125,\"nulls\":0,\"top\":\"16377.44\",\"freq\":1,\"mean\":14691.599679999998,\"std\":1073.4783781969475,\"min\":\"12772.43\",\"median\":\"14846.9\",\"max\":\"16449.7\"},{\"name\":\"Low\",\"type\":\"Double\",\"count\":125,\"unique\":125,\"nulls\":0,\"top\":\"16127.48\",\"freq\":1,\"mean\":14523.346240000006,\"std\":1081.4605027526316,\"min\":\"12543.86\",\"median\":\"14577.44\",\"max\":\"16199.06\"}]}" | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 3 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "As you can see, our data is a simple DataFrame of five columns: `Date`, `Close/Last`, `Open`, `High`, `Low`.\n", | |
| "\n", | |
| "Each row corresponds to one trading day (note that there are no weekends); During the trading day, the price (for financial assets — stocks, currencies, etc.) or market index (in our case) changes. The values at the beginning and end of the day, as well as the minimum and maximum for the day, are used for analytics.\n", | |
| "\n", | |
| "* `Date` corresponds to the date. It's in String format and should be converted to a more convenient datetime type. After that, we can sort rows by date to easily calculate metrics based on sequential data.\n", | |
| "* `Open` corresponds to the opening value at the beginning of the trading day.\n", | |
| "* `High` corresponds to the maximum value during the day.\n", | |
| "* `Low` corresponds to the minimum value during the day.\n", | |
| "* `Close/Last` corresponds to the closing value – the value at the end of the trading day. It is a commonly used benchmark used to analyze value changes over time. We'll simplify this column name to just \"Close\" for ease of use.\n", | |
| "\n", | |
| "I also prefer to work with columns whose names are in camel case, so let's rename them.\n", | |
| "\n", | |
| "Also note that there are no nulls in the dataset, so we don't need to process them in any way." | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Processing" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "Before we get to plotting, let's process the data a bit:\n", | |
| "1. Convert `Date` column to `LocalDate` type (see [kotlinx.datetime types](https://github.com/Kotlin/kotlinx-datetime?tab=readme-ov-file#types)).\n", | |
| "2. Sort rows by `Date` (ascending).\n", | |
| "3. Rename `Close/Last` into just `Close`.\n", | |
| "4. Change all column names to camel case.\n", | |
| "\n", | |
| "The [autogenerated dataframe column extension properties](https://kotlin.github.io/dataframe/extensionpropertiesapi.html) inside the contexts of the transform functions are used here and further as they allow avoiding misspelling column names and add type safety." | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:36.632830Z", | |
| "start_time": "2024-04-08T14:34:35.754304Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "val df = dfRaw\n", | |
| " // convert `Date` column to `LocalDate` type by given pattern\n", | |
| " .convert { Date }.toLocalDate(\"MM/dd/yyyy\")\n", | |
| " // sort rows by `Date` - ascending by default\n", | |
| " .sortBy { Date }\n", | |
| " // rename `Close/Last` into \"Close\"\n", | |
| " .rename { `Close-Last` }.into(\"Close\")\n", | |
| " // rename columns to camel case\n", | |
| " .renameToCamelCase()\n", | |
| "df.head()" | |
| ], | |
| "outputs": [ | |
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| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
| " } else {\n", | |
| " let i = -1, children = node.childNodes;\n", | |
| " while (++i < children.length) {\n", | |
| " this.nodeScriptReplace(children[i]);\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " return node;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptClone = function (node) {\n", | |
| " let script = document.createElement("script");\n", | |
| " script.text = node.innerHTML;\n", | |
| "\n", | |
| " let i = -1, attrs = node.attributes, attr;\n", | |
| " while (++i < attrs.length) {\n", | |
| " script.setAttribute((attr = attrs[i]).name, attr.value);\n", | |
| " }\n", | |
| " return script;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptIs = function (node) {\n", | |
| " return node.tagName === 'SCRIPT';\n", | |
| " }\n", | |
| " })()\n", | |
| "\n", | |
| " window.call_DataFrame = function (f) {\n", | |
| " return f();\n", | |
| " };\n", | |
| "\n", | |
| " let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];\n", | |
| " if (funQueue) {\n", | |
| " funQueue.forEach(function (f) {\n", | |
| " f();\n", | |
| " });\n", | |
| " funQueue = [];\n", | |
| " }\n", | |
| "})()\n", | |
| "\n", | |
| "/*<!--*/\n", | |
| "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"date: kotlinx.datetime.LocalDate\">date</span>", children: [], rightAlign: false, values: ["2023-09-21","2023-09-22","2023-09-25","2023-09-26","2023-09-27"] }, \n", | |
| "{ name: "<span title=\"close: Double\">close</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13223,98</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13211,81</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13271,32</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13063,61</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13092,85</span></span>"] }, \n", | |
| "{ name: "<span title=\"open: Double\">open</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13328,06</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13287,17</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13172,54</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13180,96</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13115,36</span></span>"] }, \n", | |
| "{ name: "<span title=\"high: Double\">high</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13362,23</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13353,22</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13277,83</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13199,13</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13156,37</span></span>"] }, \n", | |
| "{ name: "<span title=\"low: Double\">low</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13222,56</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13200,64</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13132,00</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13033,40</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12963,16</span></span>"] }, \n", | |
| "], id: -385875964, rootId: -385875964, totalRows: 5 } ) });\n", | |
| "/*-->*/\n", | |
| "\n", | |
| "call_DataFrame(function() { DataFrame.renderTable(-385875964) });\n", | |
| "\n", | |
| "\n", | |
| " </script>\n", | |
| " </html>\"></iframe>\n", | |
| " <script>\n", | |
| " function o_resize_iframe_out_3() {\n", | |
| " let elem = document.getElementById(\"iframe_out_3\");\n", | |
| " resize_iframe_out_3(elem);\n", | |
| " setInterval(resize_iframe_out_3, 5000, elem);\n", | |
| " }\n", | |
| " function resize_iframe_out_3(el) {\n", | |
| " let h = el.contentWindow.document.body.scrollHeight;\n", | |
| " el.height = h === 0 ? 0 : h + 41;\n", | |
| " }\n", | |
| " </script> <html>\n", | |
| " <head>\n", | |
| " <style type=\"text/css\">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
| " color: var(--link-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a:hover {\n", | |
| " color: var(--link-hover);\n", | |
| " text-decoration: underline;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe img {\n", | |
| " max-width: fit-content;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.complex {\n", | |
| " background-color: var(--background);\n", | |
| " border: 1px solid var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .leftBorder {\n", | |
| " border-left-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightBorder {\n", | |
| " border-right-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
| " color: var(--text-color-medium);\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .dataFrameCaption {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .numbers {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| " </style>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <table class=\"dataframe\" id=\"static_df_-385875963\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">date</th><th class=\"bottomBorder\" style=\"text-align:left\">close</th><th class=\"bottomBorder\" style=\"text-align:left\">open</th><th class=\"bottomBorder\" style=\"text-align:left\">high</th><th class=\"bottomBorder\" style=\"text-align:left\">low</th></tr></thead><tbody><tr><td style=\"vertical-align:top\">2023-09-21</td><td style=\"vertical-align:top\">13223,980000</td><td style=\"vertical-align:top\">13328,060000</td><td style=\"vertical-align:top\">13362,230000</td><td style=\"vertical-align:top\">13222,560000</td></tr><tr><td style=\"vertical-align:top\">2023-09-22</td><td style=\"vertical-align:top\">13211,810000</td><td style=\"vertical-align:top\">13287,170000</td><td style=\"vertical-align:top\">13353,220000</td><td style=\"vertical-align:top\">13200,640000</td></tr><tr><td style=\"vertical-align:top\">2023-09-25</td><td style=\"vertical-align:top\">13271,320000</td><td style=\"vertical-align:top\">13172,540000</td><td style=\"vertical-align:top\">13277,830000</td><td style=\"vertical-align:top\">13132,000000</td></tr><tr><td style=\"vertical-align:top\">2023-09-26</td><td style=\"vertical-align:top\">13063,610000</td><td style=\"vertical-align:top\">13180,960000</td><td style=\"vertical-align:top\">13199,130000</td><td style=\"vertical-align:top\">13033,400000</td></tr><tr><td style=\"vertical-align:top\">2023-09-27</td><td style=\"vertical-align:top\">13092,850000</td><td style=\"vertical-align:top\">13115,360000</td><td style=\"vertical-align:top\">13156,370000</td><td style=\"vertical-align:top\">12963,160000</td></tr></tbody></table>\n", | |
| " </body>\n", | |
| " <script>\n", | |
| " document.getElementById(\"static_df_-385875963\").style.display = \"none\";\n", | |
| " </script>\n", | |
| " </html>" | |
| ], | |
| "application/kotlindataframe+json": "{\"$version\":\"2.0.0\",\"metadata\":{\"columns\":[\"date\",\"close\",\"open\",\"high\",\"low\"],\"nrow\":5,\"ncol\":5},\"kotlin_dataframe\":[{\"date\":\"2023-09-21\",\"close\":13223.98,\"open\":13328.06,\"high\":13362.23,\"low\":13222.56},{\"date\":\"2023-09-22\",\"close\":13211.81,\"open\":13287.17,\"high\":13353.22,\"low\":13200.64},{\"date\":\"2023-09-25\",\"close\":13271.32,\"open\":13172.54,\"high\":13277.83,\"low\":13132.0},{\"date\":\"2023-09-26\",\"close\":13063.61,\"open\":13180.96,\"high\":13199.13,\"low\":13033.4},{\"date\":\"2023-09-27\",\"close\":13092.85,\"open\":13115.36,\"high\":13156.37,\"low\":12963.16}]}" | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 4 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Let’s make sure we got it right:" | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:36.772269Z", | |
| "start_time": "2024-04-08T14:34:36.640448Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": "df.describe()", | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| " <iframe onload=\"o_resize_iframe_out_4()\" style=\"width:100%;\" class=\"result_container\" id=\"iframe_out_4\" frameBorder=\"0\" srcdoc=\" <html>\n", | |
| " <head>\n", | |
| " <style type="text/css">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
| " color: var(--link-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a:hover {\n", | |
| " color: var(--link-hover);\n", | |
| " text-decoration: underline;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe img {\n", | |
| " max-width: fit-content;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.complex {\n", | |
| " background-color: var(--background);\n", | |
| " border: 1px solid var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .leftBorder {\n", | |
| " border-left-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightBorder {\n", | |
| " border-right-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
| " color: var(--text-color-medium);\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .dataFrameCaption {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .numbers {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| ":root {\n", | |
| " --scroll-bg: #f5f5f5;\n", | |
| " --scroll-fg: #b3b3b3;\n", | |
| "}\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"]{\n", | |
| " --scroll-bg: #3c3c3c;\n", | |
| " --scroll-fg: #97e1fb;\n", | |
| "}\n", | |
| "body {\n", | |
| " scrollbar-color: var(--scroll-fg) var(--scroll-bg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar {\n", | |
| " width: 10px; /* Mostly for vertical scrollbars */\n", | |
| " height: 10px; /* Mostly for horizontal scrollbars */\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-thumb {\n", | |
| " background-color: var(--scroll-fg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-track {\n", | |
| " background-color: var(--scroll-bg);\n", | |
| "}\n", | |
| " </style>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <table class="dataframe" id="df_-385875962"></table>\n", | |
| "\n", | |
| "<p class="dataframe_description">DataFrame: rowsCount = 5, columnsCount = 12</p>\n", | |
| "\n", | |
| " </body>\n", | |
| " <script>\n", | |
| " (function () {\n", | |
| " window.DataFrame = window.DataFrame || new (function () {\n", | |
| " this.addTable = function (df) {\n", | |
| " let cols = df.cols;\n", | |
| " for (let i = 0; i < cols.length; i++) {\n", | |
| " for (let c of cols[i].children) {\n", | |
| " cols[c].parent = i;\n", | |
| " }\n", | |
| " }\n", | |
| " df.nrow = 0\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length\n", | |
| " }\n", | |
| " if (df.id === df.rootId) {\n", | |
| " df.expandedFrames = new Set()\n", | |
| " df.childFrames = {}\n", | |
| " const table = this.getTableElement(df.id)\n", | |
| " table.df = df\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " let col = df.cols[i]\n", | |
| " if (col.parent === undefined && col.children.length > 0) col.expanded = true\n", | |
| " }\n", | |
| " } else {\n", | |
| " const rootDf = this.getTableData(df.rootId)\n", | |
| " rootDf.childFrames[df.id] = df\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderData = function (df) {\n", | |
| " let result = []\n", | |
| " let pos = 0\n", | |
| " for (let col = 0; col < df.cols.length; col++) {\n", | |
| " if (df.cols[col].parent === undefined)\n", | |
| " pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)\n", | |
| " }\n", | |
| " for (let i = 0; i < result.length; i++) {\n", | |
| " let row = result[i]\n", | |
| " for (let j = 0; j < row.length; j++) {\n", | |
| " let cell = row[j]\n", | |
| " if (j === 0)\n", | |
| " cell.leftBd = false\n", | |
| " if (j < row.length - 1) {\n", | |
| " let nextData = row[j + 1]\n", | |
| " if (nextData.leftBd) cell.rightBd = true\n", | |
| " else if (cell.rightBd) nextData.leftBd = true\n", | |
| " } else cell.rightBd = false\n", | |
| " }\n", | |
| " }\n", | |
| " return result\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {\n", | |
| " if (result.length === depth) {\n", | |
| " const array = [];\n", | |
| " if (pos > 0) {\n", | |
| " let j = 0\n", | |
| " for (let i = 0; j < pos; i++) {\n", | |
| " let c = result[depth - 1][i]\n", | |
| " j += c.span\n", | |
| " let copy = Object.assign({empty: true}, c)\n", | |
| " array.push(copy)\n", | |
| " }\n", | |
| " }\n", | |
| " result.push(array)\n", | |
| " }\n", | |
| " const col = cols[colId];\n", | |
| " let size = 0;\n", | |
| " if (col.expanded) {\n", | |
| " let childPos = pos\n", | |
| " for (let i = 0; i < col.children.length; i++) {\n", | |
| " let child = col.children[i]\n", | |
| " let childLeft = i === 0 && (col.children.length > 1 || leftBorder)\n", | |
| " let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)\n", | |
| " let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)\n", | |
| " childPos += childSize\n", | |
| " size += childSize\n", | |
| " }\n", | |
| " } else {\n", | |
| " for (let i = depth + 1; i < result.length; i++)\n", | |
| " result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})\n", | |
| " size = 1\n", | |
| " }\n", | |
| " let left = leftBorder\n", | |
| " let right = rightBorder\n", | |
| " if (size > 1) {\n", | |
| " left = true\n", | |
| " right = true\n", | |
| " }\n", | |
| " result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})\n", | |
| " return size\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableElement = function (id) {\n", | |
| " return document.getElementById("df_" + id)\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableData = function (id) {\n", | |
| " return this.getTableElement(id).df\n", | |
| " }\n", | |
| "\n", | |
| " this.createExpander = function (isExpanded) {\n", | |
| " const svgNs = "http://www.w3.org/2000/svg"\n", | |
| " let svg = document.createElementNS(svgNs, "svg")\n", | |
| " svg.classList.add("expanderSvg")\n", | |
| " let path = document.createElementNS(svgNs, "path")\n", | |
| " if (isExpanded) {\n", | |
| " svg.setAttribute("viewBox", "0 -2 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")\n", | |
| " } else {\n", | |
| " svg.setAttribute("viewBox", "-2 0 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")\n", | |
| " }\n", | |
| " path.setAttribute("fill", "currentColor")\n", | |
| " svg.appendChild(path)\n", | |
| " return svg\n", | |
| " }\n", | |
| "\n", | |
| " this.renderTable = function (id) {\n", | |
| "\n", | |
| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
| " } else {\n", | |
| " let i = -1, children = node.childNodes;\n", | |
| " while (++i < children.length) {\n", | |
| " this.nodeScriptReplace(children[i]);\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " return node;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptClone = function (node) {\n", | |
| " let script = document.createElement("script");\n", | |
| " script.text = node.innerHTML;\n", | |
| "\n", | |
| " let i = -1, attrs = node.attributes, attr;\n", | |
| " while (++i < attrs.length) {\n", | |
| " script.setAttribute((attr = attrs[i]).name, attr.value);\n", | |
| " }\n", | |
| " return script;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptIs = function (node) {\n", | |
| " return node.tagName === 'SCRIPT';\n", | |
| " }\n", | |
| " })()\n", | |
| "\n", | |
| " window.call_DataFrame = function (f) {\n", | |
| " return f();\n", | |
| " };\n", | |
| "\n", | |
| " let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];\n", | |
| " if (funQueue) {\n", | |
| " funQueue.forEach(function (f) {\n", | |
| " f();\n", | |
| " });\n", | |
| " funQueue = [];\n", | |
| " }\n", | |
| "})()\n", | |
| "\n", | |
| "/*<!--*/\n", | |
| "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["date","close","open","high","low"] }, \n", | |
| "{ name: "<span title=\"type: Any\">type</span>", children: [], rightAlign: false, values: ["LocalDate","Double","Double","Double","Double"] }, \n", | |
| "{ name: "<span title=\"count: Int\">count</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>"] }, \n", | |
| "{ name: "<span title=\"unique: Int\">unique</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">125</span></span>"] }, \n", | |
| "{ name: "<span title=\"nulls: Int\">nulls</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>"] }, \n", | |
| "{ name: "<span title=\"top: Comparable<*>\">top</span>", children: [], rightAlign: false, values: ["2023-09-21","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13224,0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13328,1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13362,2</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13222,6</span></span>"] }, \n", | |
| "{ name: "<span title=\"freq: Int\">freq</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>"] }, \n", | |
| "{ name: "<span title=\"mean: Double?\">mean</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14620,494000</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14606,284640</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14691,599680</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14523,346240</span></span>"] }, \n", | |
| "{ name: "<span title=\"std: Double?\">std</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1082,262611</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1079,916315</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1073,478378</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1081,460503</span></span>"] }, \n", | |
| "{ name: "<span title=\"min: Comparable<*>\">min</span>", children: [], rightAlign: false, values: ["2023-09-21","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12595,6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12718,7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12772,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12543,9</span></span>"] }, \n", | |
| "{ name: "<span title=\"median: Comparable<*>\">median</span>", children: [], rightAlign: false, values: ["2023-12-19","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14761,6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14641,5</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14846,9</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">14577,4</span></span>"] }, \n", | |
| "{ name: "<span title=\"max: Comparable<*>\">max</span>", children: [], rightAlign: false, values: ["2024-03-20","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16369,4</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16322,1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16449,7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">16199,1</span></span>"] }, \n", | |
| "], id: -385875962, rootId: -385875962, totalRows: 5 } ) });\n", | |
| "/*-->*/\n", | |
| "\n", | |
| "call_DataFrame(function() { DataFrame.renderTable(-385875962) });\n", | |
| "\n", | |
| "\n", | |
| " </script>\n", | |
| " </html>\"></iframe>\n", | |
| " <script>\n", | |
| " function o_resize_iframe_out_4() {\n", | |
| " let elem = document.getElementById(\"iframe_out_4\");\n", | |
| " resize_iframe_out_4(elem);\n", | |
| " setInterval(resize_iframe_out_4, 5000, elem);\n", | |
| " }\n", | |
| " function resize_iframe_out_4(el) {\n", | |
| " let h = el.contentWindow.document.body.scrollHeight;\n", | |
| " el.height = h === 0 ? 0 : h + 41;\n", | |
| " }\n", | |
| " </script> <html>\n", | |
| " <head>\n", | |
| " <style type=\"text/css\">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
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| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 5 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Ok, let's build some plots! " | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## Plots" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Closing Price Line Plot" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Let's start with something simple – looking at the changes in the index over time. As described above, the closing price signifies the final value at which a stock changes hands during the day. It is the standard reference point for investors to monitor the stock's performance across various periods. Let's visualize `close` value changes over a given period with a line plot." | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:38.013651Z", | |
| "start_time": "2024-04-08T14:34:36.775521Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "// create a plot using DataFrame.plot {} extension\n", | |
| "df.plot {\n", | |
| " // add line layer\n", | |
| " line {\n", | |
| " // `date` corresponds to `x`\n", | |
| " x(date) // use extension properties again\n", | |
| " // `close` corresponds to `y`\n", | |
| " y(close)\n", | |
| " }\n", | |
| "}" | |
| ], | |
| "outputs": [ | |
| { | |
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| "Now we can clearly see the growth with minor drawdowns. However, in recent days the growth has gradually slowed, transitioning to a plateau.\n", | |
| "\n", | |
| "However, our data still isn’t very visually appealing. Let’s change that by customizing the appearance of the line (increase width and change color) and the plot layout (increase the size and add a title):\n" | |
| ] | |
| }, | |
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| "end_time": "2024-04-08T14:34:38.275694Z", | |
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| "df.plot {\n", | |
| " line {\n", | |
| " x(date)\n", | |
| " y(close)\n", | |
| " // set the line width\n", | |
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| " color = Color.BLUE\n", | |
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| " // layout parameters\n", | |
| " layout {\n", | |
| " // increase the plot width\n", | |
| " size = 800 to 400\n", | |
| " // set the plot title\n", | |
| " title = \"NASDAQ Composite Index (COMP) Closing price\"\n", | |
| " }\n", | |
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| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Now it looks so much better!" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Closing Price Moving Average" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "The moving average (MA) is a standard technique that smooths a series of data points for analysis, making it easier to identify the direction of a trend. Let's count the moving average for 10 days and compare it with the MA for 1 day (in this case just `close`)." | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:38.799606Z", | |
| "start_time": "2024-04-08T14:34:38.279750Z" | |
| } | |
| }, | |
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| "// set size of window; it also can be 5 days, 20 or 40.\n", | |
| "val window = 10\n", | |
| "// create a new dataframe with a new column with MA values\n", | |
| "val dfWithMA10 = df.add(\"ma$window\") {\n", | |
| " // new column builder; returning value is a value for MA for current given row.\n", | |
| " // if row index is less than window, return null\n", | |
| " if (index() < window) {\n", | |
| " null\n", | |
| " } else {\n", | |
| " // take a window (previous `window` rows incl. this one) and count their `Close` values mean\n", | |
| " relative(-(window - 1)..0).close.mean()\n", | |
| " }\n", | |
| "}\n", | |
| "dfWithMA10.head()" | |
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| " <table class=\"dataframe\" id=\"static_df_-385875959\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">date</th><th class=\"bottomBorder\" style=\"text-align:left\">close</th><th class=\"bottomBorder\" style=\"text-align:left\">open</th><th class=\"bottomBorder\" style=\"text-align:left\">high</th><th class=\"bottomBorder\" style=\"text-align:left\">low</th><th class=\"bottomBorder\" style=\"text-align:left\">ma10</th></tr></thead><tbody><tr><td style=\"vertical-align:top\">2023-09-21</td><td style=\"vertical-align:top\">13223,980000</td><td style=\"vertical-align:top\">13328,060000</td><td style=\"vertical-align:top\">13362,230000</td><td style=\"vertical-align:top\">13222,560000</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-22</td><td style=\"vertical-align:top\">13211,810000</td><td style=\"vertical-align:top\">13287,170000</td><td style=\"vertical-align:top\">13353,220000</td><td style=\"vertical-align:top\">13200,640000</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-25</td><td style=\"vertical-align:top\">13271,320000</td><td style=\"vertical-align:top\">13172,540000</td><td style=\"vertical-align:top\">13277,830000</td><td style=\"vertical-align:top\">13132,000000</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-26</td><td style=\"vertical-align:top\">13063,610000</td><td style=\"vertical-align:top\">13180,960000</td><td style=\"vertical-align:top\">13199,130000</td><td style=\"vertical-align:top\">13033,400000</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-27</td><td style=\"vertical-align:top\">13092,850000</td><td style=\"vertical-align:top\">13115,360000</td><td style=\"vertical-align:top\">13156,370000</td><td style=\"vertical-align:top\">12963,160000</td><td style=\"vertical-align:top\">null</td></tr></tbody></table>\n", | |
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| "application/kotlindataframe+json": "{\"$version\":\"2.0.0\",\"metadata\":{\"columns\":[\"date\",\"close\",\"open\",\"high\",\"low\",\"ma10\"],\"nrow\":5,\"ncol\":6},\"kotlin_dataframe\":[{\"date\":\"2023-09-21\",\"close\":13223.98,\"open\":13328.06,\"high\":13362.23,\"low\":13222.56,\"ma10\":null},{\"date\":\"2023-09-22\",\"close\":13211.81,\"open\":13287.17,\"high\":13353.22,\"low\":13200.64,\"ma10\":null},{\"date\":\"2023-09-25\",\"close\":13271.32,\"open\":13172.54,\"high\":13277.83,\"low\":13132.0,\"ma10\":null},{\"date\":\"2023-09-26\",\"close\":13063.61,\"open\":13180.96,\"high\":13199.13,\"low\":13033.4,\"ma10\":null},{\"date\":\"2023-09-27\",\"close\":13092.85,\"open\":13115.36,\"high\":13156.37,\"low\":12963.16,\"ma10\":null}]}" | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 8 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Now gather columns with `close` (since we have daily data, `close` contains the moving average for 1 day) and `ma10` into one column, `movingAverage` (with moving averages in 1-day and 10-day intervals), with a key column `interval`. This will allow us to divide the dataset into two groups by this key and draw two lines of different colors (depending on the `interval` value) with a legend for color. Unfortunately, at the moment, series plotting is not available in Kandy, so we can't provide several lines as we would in other plotting libraries." | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:39.340244Z", | |
| "start_time": "2024-04-08T14:34:38.802666Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "val dfWithMA = dfWithMA10.gather {\n", | |
| " // rename `close` into `1 day` and `ma10` into `10 days`\n", | |
| " // these names will be values in `interval` column after `gather`\n", | |
| " close.named(\"1 day\") and (ma10 named \"10 days\")\n", | |
| "}.into(\"interval\", \"movingAverage\")\n", | |
| "dfWithMA.head(5)" | |
| ], | |
| "outputs": [ | |
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| "\n", | |
| "table.dataframe th.complex {\n", | |
| " background-color: var(--background);\n", | |
| " border: 1px solid var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .leftBorder {\n", | |
| " border-left-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightBorder {\n", | |
| " border-right-color: var(--inner-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
| " color: var(--text-color-medium);\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .dataFrameCaption {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .numbers {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| ":root {\n", | |
| " --scroll-bg: #f5f5f5;\n", | |
| " --scroll-fg: #b3b3b3;\n", | |
| "}\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"]{\n", | |
| " --scroll-bg: #3c3c3c;\n", | |
| " --scroll-fg: #97e1fb;\n", | |
| "}\n", | |
| "body {\n", | |
| " scrollbar-color: var(--scroll-fg) var(--scroll-bg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar {\n", | |
| " width: 10px; /* Mostly for vertical scrollbars */\n", | |
| " height: 10px; /* Mostly for horizontal scrollbars */\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-thumb {\n", | |
| " background-color: var(--scroll-fg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-track {\n", | |
| " background-color: var(--scroll-bg);\n", | |
| "}\n", | |
| " </style>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <table class="dataframe" id="df_-385875958"></table>\n", | |
| "\n", | |
| "<p class="dataframe_description">DataFrame: rowsCount = 5, columnsCount = 6</p>\n", | |
| "\n", | |
| " </body>\n", | |
| " <script>\n", | |
| " (function () {\n", | |
| " window.DataFrame = window.DataFrame || new (function () {\n", | |
| " this.addTable = function (df) {\n", | |
| " let cols = df.cols;\n", | |
| " for (let i = 0; i < cols.length; i++) {\n", | |
| " for (let c of cols[i].children) {\n", | |
| " cols[c].parent = i;\n", | |
| " }\n", | |
| " }\n", | |
| " df.nrow = 0\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length\n", | |
| " }\n", | |
| " if (df.id === df.rootId) {\n", | |
| " df.expandedFrames = new Set()\n", | |
| " df.childFrames = {}\n", | |
| " const table = this.getTableElement(df.id)\n", | |
| " table.df = df\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " let col = df.cols[i]\n", | |
| " if (col.parent === undefined && col.children.length > 0) col.expanded = true\n", | |
| " }\n", | |
| " } else {\n", | |
| " const rootDf = this.getTableData(df.rootId)\n", | |
| " rootDf.childFrames[df.id] = df\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderData = function (df) {\n", | |
| " let result = []\n", | |
| " let pos = 0\n", | |
| " for (let col = 0; col < df.cols.length; col++) {\n", | |
| " if (df.cols[col].parent === undefined)\n", | |
| " pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)\n", | |
| " }\n", | |
| " for (let i = 0; i < result.length; i++) {\n", | |
| " let row = result[i]\n", | |
| " for (let j = 0; j < row.length; j++) {\n", | |
| " let cell = row[j]\n", | |
| " if (j === 0)\n", | |
| " cell.leftBd = false\n", | |
| " if (j < row.length - 1) {\n", | |
| " let nextData = row[j + 1]\n", | |
| " if (nextData.leftBd) cell.rightBd = true\n", | |
| " else if (cell.rightBd) nextData.leftBd = true\n", | |
| " } else cell.rightBd = false\n", | |
| " }\n", | |
| " }\n", | |
| " return result\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {\n", | |
| " if (result.length === depth) {\n", | |
| " const array = [];\n", | |
| " if (pos > 0) {\n", | |
| " let j = 0\n", | |
| " for (let i = 0; j < pos; i++) {\n", | |
| " let c = result[depth - 1][i]\n", | |
| " j += c.span\n", | |
| " let copy = Object.assign({empty: true}, c)\n", | |
| " array.push(copy)\n", | |
| " }\n", | |
| " }\n", | |
| " result.push(array)\n", | |
| " }\n", | |
| " const col = cols[colId];\n", | |
| " let size = 0;\n", | |
| " if (col.expanded) {\n", | |
| " let childPos = pos\n", | |
| " for (let i = 0; i < col.children.length; i++) {\n", | |
| " let child = col.children[i]\n", | |
| " let childLeft = i === 0 && (col.children.length > 1 || leftBorder)\n", | |
| " let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)\n", | |
| " let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)\n", | |
| " childPos += childSize\n", | |
| " size += childSize\n", | |
| " }\n", | |
| " } else {\n", | |
| " for (let i = depth + 1; i < result.length; i++)\n", | |
| " result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})\n", | |
| " size = 1\n", | |
| " }\n", | |
| " let left = leftBorder\n", | |
| " let right = rightBorder\n", | |
| " if (size > 1) {\n", | |
| " left = true\n", | |
| " right = true\n", | |
| " }\n", | |
| " result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})\n", | |
| " return size\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableElement = function (id) {\n", | |
| " return document.getElementById("df_" + id)\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableData = function (id) {\n", | |
| " return this.getTableElement(id).df\n", | |
| " }\n", | |
| "\n", | |
| " this.createExpander = function (isExpanded) {\n", | |
| " const svgNs = "http://www.w3.org/2000/svg"\n", | |
| " let svg = document.createElementNS(svgNs, "svg")\n", | |
| " svg.classList.add("expanderSvg")\n", | |
| " let path = document.createElementNS(svgNs, "path")\n", | |
| " if (isExpanded) {\n", | |
| " svg.setAttribute("viewBox", "0 -2 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")\n", | |
| " } else {\n", | |
| " svg.setAttribute("viewBox", "-2 0 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")\n", | |
| " }\n", | |
| " path.setAttribute("fill", "currentColor")\n", | |
| " svg.appendChild(path)\n", | |
| " return svg\n", | |
| " }\n", | |
| "\n", | |
| " this.renderTable = function (id) {\n", | |
| "\n", | |
| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
| " } else {\n", | |
| " let i = -1, children = node.childNodes;\n", | |
| " while (++i < children.length) {\n", | |
| " this.nodeScriptReplace(children[i]);\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " return node;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptClone = function (node) {\n", | |
| " let script = document.createElement("script");\n", | |
| " script.text = node.innerHTML;\n", | |
| "\n", | |
| " let i = -1, attrs = node.attributes, attr;\n", | |
| " while (++i < attrs.length) {\n", | |
| " script.setAttribute((attr = attrs[i]).name, attr.value);\n", | |
| " }\n", | |
| " return script;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptIs = function (node) {\n", | |
| " return node.tagName === 'SCRIPT';\n", | |
| " }\n", | |
| " })()\n", | |
| "\n", | |
| " window.call_DataFrame = function (f) {\n", | |
| " return f();\n", | |
| " };\n", | |
| "\n", | |
| " let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];\n", | |
| " if (funQueue) {\n", | |
| " funQueue.forEach(function (f) {\n", | |
| " f();\n", | |
| " });\n", | |
| " funQueue = [];\n", | |
| " }\n", | |
| "})()\n", | |
| "\n", | |
| "/*<!--*/\n", | |
| "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"date: kotlinx.datetime.LocalDate\">date</span>", children: [], rightAlign: false, values: ["2023-09-21","2023-09-21","2023-09-22","2023-09-22","2023-09-25"] }, \n", | |
| "{ name: "<span title=\"open: Double\">open</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13328,06</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13328,06</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13287,17</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13287,17</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13172,54</span></span>"] }, \n", | |
| "{ name: "<span title=\"high: Double\">high</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13362,23</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13362,23</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13353,22</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13353,22</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13277,83</span></span>"] }, \n", | |
| "{ name: "<span title=\"low: Double\">low</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13222,56</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13222,56</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13200,64</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13200,64</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13132,00</span></span>"] }, \n", | |
| "{ name: "<span title=\"interval: String\">interval</span>", children: [], rightAlign: false, values: ["1 day","10 days","1 day","10 days","1 day"] }, \n", | |
| "{ name: "<span title=\"movingAverage: Double?\">movingAverage</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13223,98</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13211,81</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13271,32</span></span>"] }, \n", | |
| "], id: -385875958, rootId: -385875958, totalRows: 5 } ) });\n", | |
| "/*-->*/\n", | |
| "\n", | |
| "call_DataFrame(function() { DataFrame.renderTable(-385875958) });\n", | |
| "\n", | |
| "\n", | |
| " </script>\n", | |
| " </html>\"></iframe>\n", | |
| " <script>\n", | |
| " function o_resize_iframe_out_6() {\n", | |
| " let elem = document.getElementById(\"iframe_out_6\");\n", | |
| " resize_iframe_out_6(elem);\n", | |
| " setInterval(resize_iframe_out_6, 5000, elem);\n", | |
| " }\n", | |
| " function resize_iframe_out_6(el) {\n", | |
| " let h = el.contentWindow.document.body.scrollHeight;\n", | |
| " el.height = h === 0 ? 0 : h + 41;\n", | |
| " }\n", | |
| " </script> <html>\n", | |
| " <head>\n", | |
| " <style type=\"text/css\">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
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| " <table class=\"dataframe\" id=\"static_df_-385875957\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">date</th><th class=\"bottomBorder\" style=\"text-align:left\">open</th><th class=\"bottomBorder\" style=\"text-align:left\">high</th><th class=\"bottomBorder\" style=\"text-align:left\">low</th><th class=\"bottomBorder\" style=\"text-align:left\">interval</th><th class=\"bottomBorder\" style=\"text-align:left\">movingAverage</th></tr></thead><tbody><tr><td style=\"vertical-align:top\">2023-09-21</td><td style=\"vertical-align:top\">13328,060000</td><td style=\"vertical-align:top\">13362,230000</td><td style=\"vertical-align:top\">13222,560000</td><td style=\"vertical-align:top\">1 day</td><td style=\"vertical-align:top\">13223,980000</td></tr><tr><td style=\"vertical-align:top\">2023-09-21</td><td style=\"vertical-align:top\">13328,060000</td><td style=\"vertical-align:top\">13362,230000</td><td style=\"vertical-align:top\">13222,560000</td><td style=\"vertical-align:top\">10 days</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-22</td><td style=\"vertical-align:top\">13287,170000</td><td style=\"vertical-align:top\">13353,220000</td><td style=\"vertical-align:top\">13200,640000</td><td style=\"vertical-align:top\">1 day</td><td style=\"vertical-align:top\">13211,810000</td></tr><tr><td style=\"vertical-align:top\">2023-09-22</td><td style=\"vertical-align:top\">13287,170000</td><td style=\"vertical-align:top\">13353,220000</td><td style=\"vertical-align:top\">13200,640000</td><td style=\"vertical-align:top\">10 days</td><td style=\"vertical-align:top\">null</td></tr><tr><td style=\"vertical-align:top\">2023-09-25</td><td style=\"vertical-align:top\">13172,540000</td><td style=\"vertical-align:top\">13277,830000</td><td style=\"vertical-align:top\">13132,000000</td><td style=\"vertical-align:top\">1 day</td><td style=\"vertical-align:top\">13271,320000</td></tr></tbody></table>\n", | |
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| "application/kotlindataframe+json": "{\"$version\":\"2.0.0\",\"metadata\":{\"columns\":[\"date\",\"open\",\"high\",\"low\",\"interval\",\"movingAverage\"],\"nrow\":5,\"ncol\":6},\"kotlin_dataframe\":[{\"date\":\"2023-09-21\",\"open\":13328.06,\"high\":13362.23,\"low\":13222.56,\"interval\":\"1 day\",\"movingAverage\":13223.98},{\"date\":\"2023-09-21\",\"open\":13328.06,\"high\":13362.23,\"low\":13222.56,\"interval\":\"10 days\",\"movingAverage\":null},{\"date\":\"2023-09-22\",\"open\":13287.17,\"high\":13353.22,\"low\":13200.64,\"interval\":\"1 day\",\"movingAverage\":13211.81},{\"date\":\"2023-09-22\",\"open\":13287.17,\"high\":13353.22,\"low\":13200.64,\"interval\":\"10 days\",\"movingAverage\":null},{\"date\":\"2023-09-25\",\"open\":13172.54,\"high\":13277.83,\"low\":13132.0,\"interval\":\"1 day\",\"movingAverage\":13271.32}]}" | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 9 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "Now we have a column `movingAverage` containing the value of the moving average, while the `interval` column contains the size of the interval over which it is calculated.\n", | |
| "\n", | |
| "Let's make another line plot where we compare MA with different intervals:" | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:39.662671Z", | |
| "start_time": "2024-04-08T14:34:39.343502Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "// group dataframe by interval\n", | |
| "dfWithMA.groupBy { interval }.plot {\n", | |
| " line {\n", | |
| " x(date)\n", | |
| " // `movingAverage` values corresponds to `y` \n", | |
| " y(movingAverage)\n", | |
| " width = 2.0\n", | |
| " // make color of line depends on `interval`\n", | |
| " color(interval)\n", | |
| " }\n", | |
| " \n", | |
| " layout {\n", | |
| " size = 800 to 400\n", | |
| " title = \"NASDAQ Composite Index (COMP) moving average\"\n", | |
| " }\n", | |
| "}" | |
| ], | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| " <iframe src='about:blank' style='border:none !important;' width='800' height='400' srcdoc=\"<html lang="en">\n", | |
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| " <meta charset="UTF-8">\n", | |
| " <style> html, body { margin: 0; overflow: hidden; } </style>\n", | |
| " <script type="text/javascript" data-lets-plot-script="library" src="https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.2.0/js-package/distr/lets-plot.min.js"></script>\n", | |
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| " <script type="text/javascript" data-lets-plot-script="plot">\n", | |
| " var plotSpec={\n", | |
| ""ggtitle":{\n", | |
| ""text":"NASDAQ Composite Index (COMP) moving average"\n", | |
| "},\n", | |
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| }, | |
| { | |
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| "source": "Now the trend can be seen more clearly, and all the noise has been filtered out. The window size can be varied to achieve the best result.\n" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Assessment of Volatility" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Volatility is a measure of the price fluctuation of an asset on a financial market, which plays a key role in the analysis of risks and opportunities. Understanding volatility is essential for investors to determine potential risks and investment returns. Volatility aids in analyzing market instability and provides important information for portfolio management strategies, especially during periods of financial uncertainty. Let's calculate the volatility with a window of 10 days and plot it." | |
| }, | |
| { | |
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| "end_time": "2024-04-08T14:34:40.029595Z", | |
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| } | |
| }, | |
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| "// Same as for moving average but count standard deviation instead of mean\n", | |
| "val dfWithVolatility = df.add(\"volatility\") {\n", | |
| " if (index() < window) {\n", | |
| " null\n", | |
| " } else {\n", | |
| " relative(-(window - 1)..0).close.std()\n", | |
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| "table.dataframe .rightAlign {\n", | |
| " text-align: right;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expanderSvg {\n", | |
| " width: 8px;\n", | |
| " height: 8px;\n", | |
| " margin-right: 3px;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .expander {\n", | |
| " display: flex;\n", | |
| " align-items: center;\n", | |
| "}\n", | |
| "\n", | |
| "/* formatting */\n", | |
| "\n", | |
| "table.dataframe .null {\n", | |
| " color: var(--text-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .structural {\n", | |
| " color: var(--text-color-medium);\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .dataFrameCaption {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe .numbers {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover .formatted .structural, .null {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| ":root {\n", | |
| " --scroll-bg: #f5f5f5;\n", | |
| " --scroll-fg: #b3b3b3;\n", | |
| "}\n", | |
| ":root[theme="dark"], :root [data-jp-theme-light="false"]{\n", | |
| " --scroll-bg: #3c3c3c;\n", | |
| " --scroll-fg: #97e1fb;\n", | |
| "}\n", | |
| "body {\n", | |
| " scrollbar-color: var(--scroll-fg) var(--scroll-bg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar {\n", | |
| " width: 10px; /* Mostly for vertical scrollbars */\n", | |
| " height: 10px; /* Mostly for horizontal scrollbars */\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-thumb {\n", | |
| " background-color: var(--scroll-fg);\n", | |
| "}\n", | |
| "body::-webkit-scrollbar-track {\n", | |
| " background-color: var(--scroll-bg);\n", | |
| "}\n", | |
| " </style>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <table class="dataframe" id="df_-385875956"></table>\n", | |
| "\n", | |
| "<p class="dataframe_description">DataFrame: rowsCount = 5, columnsCount = 6</p>\n", | |
| "\n", | |
| " </body>\n", | |
| " <script>\n", | |
| " (function () {\n", | |
| " window.DataFrame = window.DataFrame || new (function () {\n", | |
| " this.addTable = function (df) {\n", | |
| " let cols = df.cols;\n", | |
| " for (let i = 0; i < cols.length; i++) {\n", | |
| " for (let c of cols[i].children) {\n", | |
| " cols[c].parent = i;\n", | |
| " }\n", | |
| " }\n", | |
| " df.nrow = 0\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length\n", | |
| " }\n", | |
| " if (df.id === df.rootId) {\n", | |
| " df.expandedFrames = new Set()\n", | |
| " df.childFrames = {}\n", | |
| " const table = this.getTableElement(df.id)\n", | |
| " table.df = df\n", | |
| " for (let i = 0; i < df.cols.length; i++) {\n", | |
| " let col = df.cols[i]\n", | |
| " if (col.parent === undefined && col.children.length > 0) col.expanded = true\n", | |
| " }\n", | |
| " } else {\n", | |
| " const rootDf = this.getTableData(df.rootId)\n", | |
| " rootDf.childFrames[df.id] = df\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderData = function (df) {\n", | |
| " let result = []\n", | |
| " let pos = 0\n", | |
| " for (let col = 0; col < df.cols.length; col++) {\n", | |
| " if (df.cols[col].parent === undefined)\n", | |
| " pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)\n", | |
| " }\n", | |
| " for (let i = 0; i < result.length; i++) {\n", | |
| " let row = result[i]\n", | |
| " for (let j = 0; j < row.length; j++) {\n", | |
| " let cell = row[j]\n", | |
| " if (j === 0)\n", | |
| " cell.leftBd = false\n", | |
| " if (j < row.length - 1) {\n", | |
| " let nextData = row[j + 1]\n", | |
| " if (nextData.leftBd) cell.rightBd = true\n", | |
| " else if (cell.rightBd) nextData.leftBd = true\n", | |
| " } else cell.rightBd = false\n", | |
| " }\n", | |
| " }\n", | |
| " return result\n", | |
| " }\n", | |
| "\n", | |
| " this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {\n", | |
| " if (result.length === depth) {\n", | |
| " const array = [];\n", | |
| " if (pos > 0) {\n", | |
| " let j = 0\n", | |
| " for (let i = 0; j < pos; i++) {\n", | |
| " let c = result[depth - 1][i]\n", | |
| " j += c.span\n", | |
| " let copy = Object.assign({empty: true}, c)\n", | |
| " array.push(copy)\n", | |
| " }\n", | |
| " }\n", | |
| " result.push(array)\n", | |
| " }\n", | |
| " const col = cols[colId];\n", | |
| " let size = 0;\n", | |
| " if (col.expanded) {\n", | |
| " let childPos = pos\n", | |
| " for (let i = 0; i < col.children.length; i++) {\n", | |
| " let child = col.children[i]\n", | |
| " let childLeft = i === 0 && (col.children.length > 1 || leftBorder)\n", | |
| " let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)\n", | |
| " let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)\n", | |
| " childPos += childSize\n", | |
| " size += childSize\n", | |
| " }\n", | |
| " } else {\n", | |
| " for (let i = depth + 1; i < result.length; i++)\n", | |
| " result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})\n", | |
| " size = 1\n", | |
| " }\n", | |
| " let left = leftBorder\n", | |
| " let right = rightBorder\n", | |
| " if (size > 1) {\n", | |
| " left = true\n", | |
| " right = true\n", | |
| " }\n", | |
| " result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})\n", | |
| " return size\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableElement = function (id) {\n", | |
| " return document.getElementById("df_" + id)\n", | |
| " }\n", | |
| "\n", | |
| " this.getTableData = function (id) {\n", | |
| " return this.getTableElement(id).df\n", | |
| " }\n", | |
| "\n", | |
| " this.createExpander = function (isExpanded) {\n", | |
| " const svgNs = "http://www.w3.org/2000/svg"\n", | |
| " let svg = document.createElementNS(svgNs, "svg")\n", | |
| " svg.classList.add("expanderSvg")\n", | |
| " let path = document.createElementNS(svgNs, "path")\n", | |
| " if (isExpanded) {\n", | |
| " svg.setAttribute("viewBox", "0 -2 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")\n", | |
| " } else {\n", | |
| " svg.setAttribute("viewBox", "-2 0 8 8")\n", | |
| " path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")\n", | |
| " }\n", | |
| " path.setAttribute("fill", "currentColor")\n", | |
| " svg.appendChild(path)\n", | |
| " return svg\n", | |
| " }\n", | |
| "\n", | |
| " this.renderTable = function (id) {\n", | |
| "\n", | |
| " let table = this.getTableElement(id)\n", | |
| "\n", | |
| " if (table === null) return\n", | |
| "\n", | |
| " table.innerHTML = ""\n", | |
| "\n", | |
| " let df = table.df\n", | |
| " let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)\n", | |
| "\n", | |
| " // header\n", | |
| " let header = document.createElement("thead")\n", | |
| " table.appendChild(header)\n", | |
| "\n", | |
| " let renderData = this.computeRenderData(df)\n", | |
| " for (let j = 0; j < renderData.length; j++) {\n", | |
| " let rowData = renderData[j]\n", | |
| " let tr = document.createElement("tr");\n", | |
| " let isLastRow = j === renderData.length - 1\n", | |
| " header.appendChild(tr);\n", | |
| " for (let i = 0; i < rowData.length; i++) {\n", | |
| " let cell = rowData[i]\n", | |
| " let th = document.createElement("th");\n", | |
| " th.setAttribute("colspan", cell.span)\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId];\n", | |
| " if (!cell.empty) {\n", | |
| " if (col.children.length === 0) {\n", | |
| " th.innerHTML = col.name\n", | |
| " } else {\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " col.expanded = !col.expanded\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(col.expanded))\n", | |
| " link.innerHTML += col.name\n", | |
| " th.appendChild(link)\n", | |
| " }\n", | |
| " }\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (isLastRow)\n", | |
| " classes += " bottomBorder"\n", | |
| " if (classes.length > 0)\n", | |
| " th.setAttribute("class", classes)\n", | |
| " tr.appendChild(th)\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " // body\n", | |
| " let body = document.createElement("tbody")\n", | |
| " table.appendChild(body)\n", | |
| "\n", | |
| " let columns = renderData.pop()\n", | |
| " for (let row = 0; row < df.nrow; row++) {\n", | |
| " let tr = document.createElement("tr");\n", | |
| " body.appendChild(tr)\n", | |
| " for (let i = 0; i < columns.length; i++) {\n", | |
| " let cell = columns[i]\n", | |
| " let td = document.createElement("td");\n", | |
| " let colId = cell.id\n", | |
| " let col = df.cols[colId]\n", | |
| " let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")\n", | |
| " if (col.rightAlign)\n", | |
| " classes += " rightAlign"\n", | |
| " if (classes.length > 0)\n", | |
| " td.setAttribute("class", classes)\n", | |
| " tr.appendChild(td)\n", | |
| " let value = col.values[row]\n", | |
| " if (value.frameId !== undefined) {\n", | |
| " let frameId = value.frameId\n", | |
| " let expanded = rootDf.expandedFrames.has(frameId)\n", | |
| " let link = document.createElement("a")\n", | |
| " link.className = "expander"\n", | |
| " let that = this\n", | |
| " link.onclick = function () {\n", | |
| " if (rootDf.expandedFrames.has(frameId))\n", | |
| " rootDf.expandedFrames.delete(frameId)\n", | |
| " else rootDf.expandedFrames.add(frameId)\n", | |
| " that.renderTable(id)\n", | |
| " }\n", | |
| " link.appendChild(this.createExpander(expanded))\n", | |
| " link.innerHTML += value.value\n", | |
| " if (expanded) {\n", | |
| " td.appendChild(link)\n", | |
| " td.appendChild(document.createElement("p"))\n", | |
| " const childTable = document.createElement("table")\n", | |
| " childTable.className = "dataframe"\n", | |
| " childTable.id = "df_" + frameId\n", | |
| " let childDf = rootDf.childFrames[frameId]\n", | |
| " childTable.df = childDf\n", | |
| " td.appendChild(childTable)\n", | |
| " this.renderTable(frameId)\n", | |
| " if (childDf.nrow !== childDf.totalRows) {\n", | |
| " const footer = document.createElement("p")\n", | |
| " footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`\n", | |
| " td.appendChild(footer)\n", | |
| " }\n", | |
| " } else {\n", | |
| " td.appendChild(link)\n", | |
| " }\n", | |
| " } else if (value.style !== undefined) {\n", | |
| " td.innerHTML = value.value\n", | |
| " td.setAttribute("style", value.style)\n", | |
| " } else td.innerHTML = value\n", | |
| " this.nodeScriptReplace(td)\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptReplace = function (node) {\n", | |
| " if (this.nodeScriptIs(node) === true) {\n", | |
| " node.parentNode.replaceChild(this.nodeScriptClone(node), node);\n", | |
| " } else {\n", | |
| " let i = -1, children = node.childNodes;\n", | |
| " while (++i < children.length) {\n", | |
| " this.nodeScriptReplace(children[i]);\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " return node;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptClone = function (node) {\n", | |
| " let script = document.createElement("script");\n", | |
| " script.text = node.innerHTML;\n", | |
| "\n", | |
| " let i = -1, attrs = node.attributes, attr;\n", | |
| " while (++i < attrs.length) {\n", | |
| " script.setAttribute((attr = attrs[i]).name, attr.value);\n", | |
| " }\n", | |
| " return script;\n", | |
| " }\n", | |
| "\n", | |
| " this.nodeScriptIs = function (node) {\n", | |
| " return node.tagName === 'SCRIPT';\n", | |
| " }\n", | |
| " })()\n", | |
| "\n", | |
| " window.call_DataFrame = function (f) {\n", | |
| " return f();\n", | |
| " };\n", | |
| "\n", | |
| " let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];\n", | |
| " if (funQueue) {\n", | |
| " funQueue.forEach(function (f) {\n", | |
| " f();\n", | |
| " });\n", | |
| " funQueue = [];\n", | |
| " }\n", | |
| "})()\n", | |
| "\n", | |
| "/*<!--*/\n", | |
| "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"date: kotlinx.datetime.LocalDate\">date</span>", children: [], rightAlign: false, values: ["2023-09-21","2023-09-22","2023-09-25","2023-09-26","2023-09-27"] }, \n", | |
| "{ name: "<span title=\"close: Double\">close</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13223,98</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13211,81</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13271,32</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13063,61</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13092,85</span></span>"] }, \n", | |
| "{ name: "<span title=\"open: Double\">open</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13328,06</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13287,17</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13172,54</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13180,96</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13115,36</span></span>"] }, \n", | |
| "{ name: "<span title=\"high: Double\">high</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13362,23</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13353,22</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13277,83</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13199,13</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13156,37</span></span>"] }, \n", | |
| "{ name: "<span title=\"low: Double\">low</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">13222,56</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13200,64</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13132,00</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">13033,40</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">12963,16</span></span>"] }, \n", | |
| "{ name: "<span title=\"volatility: Double?\">volatility</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>","<span class=\"formatted\" title=\"\"><span class=\"null\">null</span></span>"] }, \n", | |
| "], id: -385875956, rootId: -385875956, totalRows: 5 } ) });\n", | |
| "/*-->*/\n", | |
| "\n", | |
| "call_DataFrame(function() { DataFrame.renderTable(-385875956) });\n", | |
| "\n", | |
| "\n", | |
| " </script>\n", | |
| " </html>\"></iframe>\n", | |
| " <script>\n", | |
| " function o_resize_iframe_out_7() {\n", | |
| " let elem = document.getElementById(\"iframe_out_7\");\n", | |
| " resize_iframe_out_7(elem);\n", | |
| " setInterval(resize_iframe_out_7, 5000, elem);\n", | |
| " }\n", | |
| " function resize_iframe_out_7(el) {\n", | |
| " let h = el.contentWindow.document.body.scrollHeight;\n", | |
| " el.height = h === 0 ? 0 : h + 41;\n", | |
| " }\n", | |
| " </script> <html>\n", | |
| " <head>\n", | |
| " <style type=\"text/css\">\n", | |
| " :root {\n", | |
| " --background: #fff;\n", | |
| " --background-odd: #f5f5f5;\n", | |
| " --background-hover: #d9edfd;\n", | |
| " --header-text-color: #474747;\n", | |
| " --text-color: #848484;\n", | |
| " --text-color-dark: #000;\n", | |
| " --text-color-medium: #737373;\n", | |
| " --text-color-pale: #b3b3b3;\n", | |
| " --inner-border-color: #aaa;\n", | |
| " --bold-border-color: #000;\n", | |
| " --link-color: #296eaa;\n", | |
| " --link-color-pale: #296eaa;\n", | |
| " --link-hover: #1a466c;\n", | |
| "}\n", | |
| "\n", | |
| ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n", | |
| " --background: #303030;\n", | |
| " --background-odd: #3c3c3c;\n", | |
| " --background-hover: #464646;\n", | |
| " --header-text-color: #dddddd;\n", | |
| " --text-color: #b3b3b3;\n", | |
| " --text-color-dark: #dddddd;\n", | |
| " --text-color-medium: #b2b2b2;\n", | |
| " --text-color-pale: #737373;\n", | |
| " --inner-border-color: #707070;\n", | |
| " --bold-border-color: #777777;\n", | |
| " --link-color: #008dc0;\n", | |
| " --link-color-pale: #97e1fb;\n", | |
| " --link-hover: #00688e;\n", | |
| "}\n", | |
| "\n", | |
| "p.dataframe_description {\n", | |
| " color: var(--text-color-dark);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe {\n", | |
| " font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n", | |
| " font-size: 12px;\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--text-color-dark);\n", | |
| " border: none;\n", | |
| " border-collapse: collapse;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th, td {\n", | |
| " padding: 6px;\n", | |
| " border: 1px solid transparent;\n", | |
| " text-align: left;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th {\n", | |
| " background-color: var(--background);\n", | |
| " color: var(--header-text-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe td {\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe th.bottomBorder {\n", | |
| " border-bottom-color: var(--bold-border-color);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(odd) {\n", | |
| " background: var(--background-odd);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:nth-child(even) {\n", | |
| " background: var(--background);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tbody > tr:hover {\n", | |
| " background: var(--background-hover);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--link-color);\n", | |
| " text-decoration: none;\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe tr:hover > td a {\n", | |
| " color: var(--link-color-pale);\n", | |
| "}\n", | |
| "\n", | |
| "table.dataframe a:hover {\n", | |
| " color: var(--link-hover);\n", | |
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| "x": "date", | |
| "y": "volatility" | |
| }, | |
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| "size": 2.5, | |
| "sampling": "none", | |
| "position": "identity", | |
| "geom": "line" | |
| } | |
| ], | |
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| "series_annotations": [ | |
| { | |
| "column": "date", | |
| "type": "datetime" | |
| } | |
| ] | |
| } | |
| }, | |
| "apply_color_scheme": true, | |
| "swing_enabled": true | |
| } | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 12 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "The following observations can be made from the chart:\n", | |
| "* Distinct peaks indicate periods of increased market instability. Economic news, corporate events, or market shocks could have caused these peaks.\n", | |
| "* The chart shows a trend of increasing volatility around the middle of the observed period (around December), followed by a decreasing trend.\n", | |
| "* Periods with lower values suggest relative market stability at those times.\n" | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "You can try different windows to calculate the moving average and volatility for the best result!" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "### Candlestick Chart" | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "Candlestick charts (also known as OHLC charts) are a popular way to visualize price movements on financial markets. They consist of individual \"candles\", each representing a specific time period, such as a day or an hour. Each candle displays four key pieces of information: the opening value, closing value, highest value, and lowest value within the given time frame, and also indicates if the value has grown during the period.\n", | |
| "\n", | |
| "Now, let's make a candlestick!" | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:40.627518Z", | |
| "start_time": "2024-04-08T14:34:40.234137Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
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| "df.plot {\n", | |
| " // add a candlestick by given columns\n", | |
| " candlestick(date, open, high, low, close)\n", | |
| "}" | |
| ], | |
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| { | |
| "data": { | |
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| "execution_count": 13 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "We see significant overplotting. Let's take only the last 50 days, reduce the candle width, and customize the layout as we did before." | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:40.839073Z", | |
| "start_time": "2024-04-08T14:34:40.631616Z" | |
| } | |
| }, | |
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| "val dfLatest = df.takeLast(50)\n", | |
| "\n", | |
| "dfLatest.plot {\n", | |
| " // candlestick() optionally opens a new scope, where it can be configured\n", | |
| " candlestick(date, open, high, low, close) {\n", | |
| " // set smaller width\n", | |
| " width = 0.7\n", | |
| " }\n", | |
| "\n", | |
| " layout {\n", | |
| " title = \"NASDAQ Composite Index (COMP)\"\n", | |
| " size = 800 to 500\n", | |
| " }\n", | |
| "}" | |
| ], | |
| "execution_count": 14, | |
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| "Each candle represents a daily summary, with opening and closing index values (box edges) and minimum and maximum index values (whisker ends). Its color indicates whether the value has increased or decreased at the end of the day compared to the beginning (if `close` is greater than `open` it's green, otherwise it’s red).\n", | |
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| "We can analyze the candlesticks to draw several conclusions. For instance, until March 1, there were several greens, i.e., upward candles with large bodies, indicating stable growth. From March 1 until March 19, there is a prevalence of candles with small bodies, signaling a plateau.\n" | |
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| "val increaseColor = Color.hex(\"#3F8EFC\")\n", | |
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| "\n", | |
| "dfLatest.plot {\n", | |
| " candlestick(date, open, high, low, close) {\n", | |
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| " // reduce width for all candles\n", | |
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| }, | |
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| } | |
| ], | |
| "title": "@x", | |
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| } | |
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| "apply_color_scheme": true, | |
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| } | |
| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "execution_count": 15 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "You can use any color palette, depending on your preferences and environment. For example, if you are using the plot in a dark theme, more contrasting colors would be appropriate." | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "An alternative way to show an increase or decrease is to use a filled box for increase and an empty box for decrease. Let's do this by changing the `alpha` value." | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2024-04-08T14:34:41.315357Z", | |
| "start_time": "2024-04-08T14:34:41.118812Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "dfLatest.plot {\n", | |
| " candlestick(date, open, high, low, close) {\n", | |
| " // change alpha for increase / decrease candles through dot \n", | |
| " // instead of opening new scope\n", | |
| " increase.alpha = 1.0\n", | |
| " decrease.alpha = 0.2\n", | |
| " // set constant width, fill and border line colors for all candles\n", | |
| " width = 0.8\n", | |
| " fillColor = Color.GREY\n", | |
| " borderLine.color = Color.GREY\n", | |
| " }\n", | |
| "\n", | |
| " layout {\n", | |
| " title = \"NASDAQ Composite Index (COMP)\"\n", | |
| " size = 800 to 500\n", | |
| " }\n", | |
| "}" | |
| ], | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| " <iframe src='about:blank' style='border:none !important;' width='800' height='500' srcdoc=\"<html lang="en">\n", | |
| " <head>\n", | |
| " <meta charset="UTF-8">\n", | |
| " <style> html, body { margin: 0; overflow: hidden; } </style>\n", | |
| " <script type="text/javascript" data-lets-plot-script="library" src="https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.2.0/js-package/distr/lets-plot.min.js"></script>\n", | |
| " </head>\n", | |
| " <body>\n", | |
| " <div id="qR7NMH"></div>\n", | |
| " <script type="text/javascript" data-lets-plot-script="plot">\n", | |
| " var plotSpec={\n", | |
| ""ggtitle":{\n", | |
| ""text":"NASDAQ Composite Index (COMP)"\n", | |
| "},\n", | |
| ""mapping":{\n", | |
| "},\n", | |
| ""data":{\n", | |
| "},\n", | |
| ""ggsize":{\n", | |
| ""width":800.0,\n", | |
| ""height":500.0\n", | |
| "},\n", | |
| ""kind":"plot",\n", | |
| ""scales":[{\n", | |
| ""aesthetic":"x",\n", | |
| ""name":"date",\n", | |
| ""limits":[null,null]\n", | |
| "},{\n", | |
| ""aesthetic":"y",\n", | |
| ""name":"",\n", | |
| ""limits":[null,null]\n", | |
| "},{\n", | |
| ""aesthetic":"x",\n", | |
| ""datetime":true,\n", | |
| ""limits":[null,null]\n", | |
| "},{\n", | |
| ""aesthetic":"fill",\n", | |
| ""values":["#3ba272","#ee6666"],\n", | |
| ""limits":[true,false],\n", | |
| ""guide":"none"\n", | |
| "},{\n", | |
| ""aesthetic":"color",\n", | |
| ""values":["#3ba272","#ee6666"],\n", | |
| ""limits":[true,false],\n", | |
| ""guide":"none"\n", | |
| "},{\n", | |
| ""aesthetic":"linetype",\n", | |
| ""values":[1.0,1.0],\n", | |
| ""limits":[true,false],\n", | |
| ""guide":"none"\n", | |
| "},{\n", | |
| ""aesthetic":"size",\n", | |
| ""values":[0.6,0.6],\n", | |
| ""limits":[true,false],\n", | |
| ""guide":"none"\n", | |
| "},{\n", | |
| ""aesthetic":"alpha",\n", | |
| ""values":[1.0,0.2],\n", | |
| ""limits":[true,false],\n", | |
| ""guide":"none"\n", | |
| "}],\n", | |
| ""layers":[{\n", | |
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| ""x":"x",\n", | |
| ""ymin":"min",\n", | |
| ""lower":"lower",\n", | |
| ""middle":"middle",\n", | |
| ""upper":"upper",\n", | |
| ""ymax":"max",\n", | |
| ""fill":"isIncreased",\n", | |
| ""color":"isIncreased",\n", | |
| ""linetype":"isIncreased",\n", | |
| ""size":"isIncreased",\n", | |
| ""alpha":"isIncreased"\n", | |
| "},\n", | |
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