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shinseitaro/value-set.ipynb

Created December 27, 2021 20:50
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value-set.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "value set.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyPzS0e6s1WJ97UOBcSL+IxP",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/shinseitaro/a388c43e52b521d511c4cd5c9923f038/value-set.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "80wmSeVPncIs"
},
"outputs": [],
"source": [
"import pandas as pd \n",
"import numpy as np\n",
"\n",
"idx = pd.date_range(\"2021/1/1\", periods=5, freq=\"20min\")\n",
"\n",
"df = pd.DataFrame(np.random.rand(len(idx),2),\n",
" index=idx, columns=[\"A\",\"B\"])"
]
},
{
"cell_type": "code",
"source": [
"df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "UXYNr6MDoNaW",
"outputId": "409f7b29-5059-4818-be6d-8c70f05bf3aa"
},
"execution_count": 2,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" }\n",
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"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-da661663-018d-4393-a42b-798c0f2430f3 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-da661663-018d-4393-a42b-798c0f2430f3');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
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],
"text/plain": [
" A B\n",
"2021-01-01 00:00:00 0.387481 0.997401\n",
"2021-01-01 00:20:00 0.415753 0.481869\n",
"2021-01-01 00:40:00 0.114160 0.891946\n",
"2021-01-01 01:00:00 0.723497 0.204107\n",
"2021-01-01 01:20:00 0.080593 0.478041"
]
},
"metadata": {},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"source": [
"df.iloc[-1, df.columns.get_loc(\"B\")] = 100\n",
"df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "6jQPme-YpQkv",
"outputId": "29a6e254-eb00-4e5e-e73d-3febd809d3d4"
},
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A</th>\n",
" <th>B</th>\n",
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" <tbody>\n",
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" <th>2021-01-01 00:00:00</th>\n",
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" title=\"Convert this dataframe to an interactive table.\"\n",
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" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
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"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-fe18a9c8-c7a6-4197-99c3-ee2d5f03e64d button.colab-df-convert');\n",
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"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-fe18a9c8-c7a6-4197-99c3-ee2d5f03e64d');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
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" "
],
"text/plain": [
" A B\n",
"2021-01-01 00:00:00 0.387481 0.997401\n",
"2021-01-01 00:20:00 0.415753 0.481869\n",
"2021-01-01 00:40:00 0.114160 0.891946\n",
"2021-01-01 01:00:00 0.723497 0.204107\n",
"2021-01-01 01:20:00 0.080593 100.000000"
]
},
"metadata": {},
"execution_count": 3
}
]
},
{
"cell_type": "code",
"source": [
""
],
"metadata": {
"id": "41xc9dq_pqIh"
},
"execution_count": 3,
"outputs": []
}
]
}
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