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melardev/coingecko_volumes.ipynb

Last active April 3, 2023 13:24
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coingecko_volumes.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"collapsed": true,
"ExecuteTime": {
"start_time": "2023-04-03T15:22:45.761493Z",
"end_time": "2023-04-03T15:22:45.805996Z"
}
},
"outputs": [],
"source": [
"import datetime\n",
"import json\n",
"import matplotlib.dates as mdates\n",
"import matplotlib.pyplot as plt\n",
"import plotly.graph_objs as go\n",
"import requests\n",
"from plotly.subplots import make_subplots\n",
"import pandas as pd\n",
"import plotly.io as pio"
]
},
{
"cell_type": "code",
"execution_count": 71,
"outputs": [],
"source": [
"coin_code = 'bitcoin'\n",
"coin_name = 'Bitcoin'\n",
"\n",
"# Make Plotly charts displayable in GitHub gist. https://github.com/plotly/plotly.py/issues/931#issuecomment-819502866\n",
"pio.renderers.default = \"svg\""
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:23:39.587645Z",
"end_time": "2023-04-03T15:23:39.629922Z"
}
}
},
{
"cell_type": "code",
"execution_count": 47,
"outputs": [
{
"data": {
"text/plain": "[datetime.datetime(2023, 4, 3, 12, 0, 57, 816000),\n datetime.datetime(2023, 4, 3, 13, 0, 29, 448000),\n datetime.datetime(2023, 4, 3, 14, 1, 0, 285000),\n datetime.datetime(2023, 4, 3, 15, 0, 2, 867000),\n datetime.datetime(2023, 4, 3, 15, 10, 4)]"
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"# Set up API endpoint URL\n",
"api_endpoint = f\"https://api.coingecko.com/api/v3/coins/{coin_code}/market_chart?vs_currency=usd&days=30\"\n",
"\n",
"# Retrieve data from API\n",
"response = requests.get(api_endpoint)\n",
"if response.status_code != 200:\n",
" raise ValueError(f'An error occurred with the API - {response.text}')\n",
"\n",
"data = json.loads(response.text)\n",
"\n",
"# Extract the historical trading volume data from the API response\n",
"total_volumes = data[\"total_volumes\"]\n",
"\n",
"# Extract the timestamps and volumes from the data\n",
"timestamps = [volume[0] for volume in total_volumes]\n",
"volumes = [volume[1] for volume in total_volumes]\n",
"\n",
"# Convert timestamps to datetime objects\n",
"timestamps = [datetime.datetime.fromtimestamp(timestamp / 1000) for timestamp in timestamps]\n",
"timestamps[-5:]"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:11:47.595792Z",
"end_time": "2023-04-03T15:11:47.862399Z"
}
}
},
{
"cell_type": "code",
"execution_count": 4,
"outputs": [
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# Plot the trading volume data as a bar chart\n",
"plt.bar(timestamps, volumes)\n",
"plt.title(f\"{coin_name} Trading Volume (USD)\")\n",
"plt.xlabel(\"Date\")\n",
"plt.ylabel(\"Trading Volume (USD)\")\n",
"plt.xticks(rotation=45)\n",
"plt.show()\n",
"\n",
"# It looks bad because we have too many X values as coingecko data is per minute, so each minute (bar) is plotted, fixed later."
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T14:51:28.034450Z",
"end_time": "2023-04-03T14:51:28.779237Z"
}
}
},
{
"cell_type": "code",
"execution_count": 31,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_43662/2776858199.py:5: MatplotlibDeprecationWarning:\n",
"\n",
"The epoch2num function was deprecated in Matplotlib 3.5 and will be removed two minor releases later. Use ``[date2num(datetime.utcfromtimestamp(t)) for t in e]`` or numpy.datetime64 types instead.\n",
"\n"
]
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"timestamps = [volume[0] for volume in total_volumes]\n",
"volumes = [volume[1] for volume in total_volumes]\n",
"\n",
"# Convert timestamps to datetime objects\n",
"timestamps = [mdates.epoch2num(timestamp / 1000) for timestamp in timestamps]\n",
"\n",
"# Plot the trading volume data as a bar chart\n",
"fig, ax = plt.subplots()\n",
"ax.bar(timestamps, volumes)\n",
"ax.set_title(f\"{coin_name} Trading Volume (USD)\")\n",
"ax.set_xlabel(\"Date\")\n",
"ax.set_ylabel(\"Trading Volume (USD)\")\n",
"\n",
"# Rotate the x-axis labels and adjust spacing between them\n",
"fig.autofmt_xdate(rotation=45)\n",
"plt.subplots_adjust(bottom=0.2)\n",
"\n",
"plt.show()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T14:59:54.570400Z",
"end_time": "2023-04-03T14:59:55.513066Z"
}
}
},
{
"cell_type": "code",
"execution_count": 67,
"outputs": [
{
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stroke-opacity: 1;\"/></g></g></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M0,0\" style=\"fill: none;\"/><path class=\"ylines-above crisp\" d=\"M0,0\" style=\"fill: none;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" transform=\"translate(86.75,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\"><tspan class=\"line\" dy=\"0em\" x=\"0\" y=\"433\">Mar 5</tspan><tspan class=\"line\" dy=\"1.3em\" x=\"0\" y=\"433\">2023</tspan></text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(212.71,0)\">Mar 12</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(338.68,0)\">Mar 19</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(464.64,0)\">Mar 26</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(590.61,0)\">Apr 2</text></g></g><g class=\"yaxislayer-above\"><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" transform=\"translate(0,420)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\">0</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,382.69)\">10B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,345.38)\">20B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,308.06)\">30B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,270.75)\">40B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,233.44)\">50B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,196.13)\">60B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,158.82)\">70B</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,121.5)\">80B</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-8f943d\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"><text class=\"gtitle\" x=\"35\" y=\"50\" text-anchor=\"start\" dy=\"0em\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 17px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Bitcoin Trading Volume (USD)</text></g><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"350\" y=\"476.409375\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Date</text></g><g class=\"g-ytitle\"><text class=\"ytitle\" transform=\"rotate(-90,32.840625,260)\" x=\"32.840625\" y=\"260\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Trading Volume (USD)</text></g></g></svg>"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Extract the timestamps and volumes from the data\n",
"timestamps = [volume[0] for volume in total_volumes]\n",
"volumes = [volume[1] for volume in total_volumes]\n",
"\n",
"# Convert timestamps to datetime objects\n",
"timestamps = [datetime.datetime.fromtimestamp(timestamp / 1000) for timestamp in timestamps]\n",
"\n",
"# Create a subplot with a bar chart\n",
"fig = make_subplots(specs=[[{\"secondary_y\": False}]])\n",
"fig.add_trace(go.Bar(x=timestamps, y=volumes, name=\"Trading Volume (USD)\", marker=dict(color='rgba(255, 168, 8, 1)')))\n",
"\n",
"# Set the chart title and axes labels\n",
"fig.update_layout(title=f\"{coin_name} Trading Volume (USD)\", xaxis_title=\"Date\", yaxis_title=\"Trading Volume (USD)\")\n",
"\n",
"# Show the plot\n",
"fig.show()\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:22:49.818090Z",
"end_time": "2023-04-03T15:22:50.500901Z"
}
}
},
{
"cell_type": "code",
"execution_count": 48,
"outputs": [
{
"data": {
"text/plain": " datetime volume\n717 2023-04-03 12:00:57.816 1.573701e+10\n718 2023-04-03 13:00:29.448 1.633974e+10\n719 2023-04-03 14:01:00.285 1.640166e+10\n720 2023-04-03 15:00:02.867 1.687489e+10\n721 2023-04-03 15:10:04.000 1.683920e+10",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>datetime</th>\n <th>volume</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>717</th>\n <td>2023-04-03 12:00:57.816</td>\n <td>1.573701e+10</td>\n </tr>\n <tr>\n <th>718</th>\n <td>2023-04-03 13:00:29.448</td>\n <td>1.633974e+10</td>\n </tr>\n <tr>\n <th>719</th>\n <td>2023-04-03 14:01:00.285</td>\n <td>1.640166e+10</td>\n </tr>\n <tr>\n <th>720</th>\n <td>2023-04-03 15:00:02.867</td>\n <td>1.687489e+10</td>\n </tr>\n <tr>\n <th>721</th>\n <td>2023-04-03 15:10:04.000</td>\n <td>1.683920e+10</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame({'datetime': timestamps, 'volume': volumes})\n",
"df.tail()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:12:04.157090Z",
"end_time": "2023-04-03T15:12:04.198124Z"
}
}
},
{
"cell_type": "code",
"execution_count": 49,
"outputs": [
{
"data": {
"text/plain": " volume\n2023-03-30 5.354504e+11\n2023-03-31 5.011142e+11\n2023-04-01 3.739468e+11\n2023-04-02 2.296306e+11\n2023-04-03 2.340077e+11",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>volume</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>2023-03-30</th>\n <td>5.354504e+11</td>\n </tr>\n <tr>\n <th>2023-03-31</th>\n <td>5.011142e+11</td>\n </tr>\n <tr>\n <th>2023-04-01</th>\n <td>3.739468e+11</td>\n </tr>\n <tr>\n <th>2023-04-02</th>\n <td>2.296306e+11</td>\n </tr>\n <tr>\n <th>2023-04-03</th>\n <td>2.340077e+11</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# resample the Dataframe to 1d\n",
"df.set_index(pd.DatetimeIndex(df['datetime'].values), inplace=True)\n",
"df = df.resample(f'1d').agg(\n",
" {\n",
" 'volume': 'sum', # The Volume to keep is the sum of volumes\n",
" })\n",
"df.tail()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:12:08.961360Z",
"end_time": "2023-04-03T15:12:08.967591Z"
}
}
},
{
"cell_type": "code",
"execution_count": 50,
"outputs": [
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# Plot the trading volume data as a bar chart\n",
"plt.bar(df.index, df.volume)\n",
"plt.title(f\"{coin_name} Trading Volume (USD)\")\n",
"plt.xlabel(\"Date\")\n",
"plt.ylabel(\"Trading Volume (USD)\")\n",
"plt.xticks(rotation=45)\n",
"plt.show()\n",
"\n",
"# It looks bad because we have too many X values as coingecko data is per minute, so each minute (bar) is plotted, fixed later."
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:12:13.028059Z",
"end_time": "2023-04-03T15:12:13.164958Z"
}
}
},
{
"cell_type": "code",
"execution_count": 68,
"outputs": [
{
"data": {
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},
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],
"source": [
"# Create a subplot with a bar chart\n",
"fig = make_subplots(specs=[[{\"secondary_y\": False}]])\n",
"fig.add_trace(\n",
" go.Bar(x=df.index, y=df.volume, name=\"Trading Volume (USD)\", marker=dict(color='rgba(255, 168, 8, 1)')))\n",
"\n",
"# Set the chart title and axes labels\n",
"fig.update_layout(title=f\"{coin_name} Trading Volume (USD)\", xaxis_title=\"Date\", yaxis_title=\"Trading Volume (USD)\")\n",
"\n",
"# Show the plot\n",
"fig.show()\n"
],
"metadata": {
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"start_time": "2023-04-03T15:22:56.633447Z",
"end_time": "2023-04-03T15:22:56.674900Z"
}
}
},
{
"cell_type": "code",
"execution_count": 52,
"outputs": [
{
"data": {
"text/plain": " volume\n2023-03-27 3.660157e+11\n2023-03-28 4.477434e+11\n2023-03-29 4.786685e+11\n2023-03-30 5.354504e+11\n2023-04-03 2.340077e+11",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>volume</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>2023-03-27</th>\n <td>3.660157e+11</td>\n </tr>\n <tr>\n <th>2023-03-28</th>\n <td>4.477434e+11</td>\n </tr>\n <tr>\n <th>2023-03-29</th>\n <td>4.786685e+11</td>\n </tr>\n <tr>\n <th>2023-03-30</th>\n <td>5.354504e+11</td>\n </tr>\n <tr>\n <th>2023-04-03</th>\n <td>2.340077e+11</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df.volume > df.shift(1).volume].tail()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:12:20.288200Z",
"end_time": "2023-04-03T15:12:20.291384Z"
}
}
},
{
"cell_type": "code",
"execution_count": 69,
"outputs": [
{
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},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a subplot with a bar chart\n",
"fig = make_subplots(specs=[[{\"secondary_y\": False}]])\n",
"increased_volume_df = df[df.volume > df.shift(1).volume]\n",
"decreased_volume_df = df[~(df.volume > df.shift(1).volume)]\n",
"fig.add_trace(\n",
" go.Bar(x=increased_volume_df.index, y=increased_volume_df.volume, name=\"Trading Volume (USD)\",\n",
" marker=dict(color='green'), showlegend=False))\n",
"\n",
"fig.add_trace(\n",
" go.Bar(x=decreased_volume_df.index, y=decreased_volume_df.volume, name=\"Trading Volume (USD)\",\n",
" marker=dict(color='red'), showlegend=False))\n",
"\n",
"# Set the chart title and axes labels\n",
"fig.update_layout(title=f\"{coin_name} Trading Volume (USD)\", xaxis_title=\"Date\", yaxis_title=\"Trading Volume (USD)\")\n",
"\n",
"# Show the plot\n",
"fig.show()\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:22:59.878626Z",
"end_time": "2023-04-03T15:22:59.905716Z"
}
}
},
{
"cell_type": "code",
"execution_count": 60,
"outputs": [],
"source": [
"# noinspection PyShadowingNames\n",
"def compute_chart(id='btc', currency='usd', days=14):\n",
" # Set up API endpoint URL\n",
" api_endpoint = f\"https://api.coingecko.com/api/v3/coins/{id}/market_chart?vs_currency={currency}&days={days}\"\n",
"\n",
" # Retrieve data from API\n",
" response = requests.get(api_endpoint)\n",
" data = json.loads(response.text)\n",
"\n",
" # Extract the historical trading volume data from the API response\n",
" total_volumes = data[\"total_volumes\"]\n",
"\n",
" # Extract the timestamps and volumes from the data\n",
" timestamps = [volume[0] for volume in total_volumes]\n",
" volumes = [volume[1] for volume in total_volumes]\n",
"\n",
" # Convert timestamps to datetime objects\n",
" timestamps = [datetime.datetime.fromtimestamp(timestamp / 1000) for timestamp in timestamps]\n",
"\n",
" # Extract the timestamps and volumes from the data\n",
" timestamps = [volume[0] for volume in total_volumes]\n",
" volumes = [volume[1] for volume in total_volumes]\n",
"\n",
" # Convert timestamps to datetime objects\n",
" timestamps = [datetime.datetime.fromtimestamp(timestamp / 1000) for timestamp in timestamps]\n",
"\n",
" df = pd.DataFrame({'datetime': timestamps, 'volume': volumes})\n",
"\n",
" # resample the Dataframe to 1d\n",
" df.set_index(pd.DatetimeIndex(df['datetime'].values), inplace=True)\n",
" df = df.resample(f'1d').agg(\n",
" {\n",
" 'volume': 'sum', # The Volume to keep is the sum of volumes\n",
" })\n",
"\n",
" # Create a subplot with a bar chart\n",
" fig = make_subplots(specs=[[{\"secondary_y\": False}]])\n",
" fig.add_trace(go.Bar(x=df.index, y=df.volume, name=\"Trading Volume (USD)\"))\n",
"\n",
" # Set the chart title and axes labels\n",
" fig.update_layout(title=f\"{coin_name} Trading Volume (USD)\", xaxis_title=\"Date\",\n",
" yaxis_title=\"Trading Volume (USD)\")\n",
"\n",
" # Show the plot\n",
" fig.show()\n",
"\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:16:42.797573Z",
"end_time": "2023-04-03T15:16:42.815577Z"
}
}
},
{
"cell_type": "code",
"execution_count": 70,
"outputs": [
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stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M183.6,320V198.31H212.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M219.6,320V232.39H248.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M255.6,320V225.39H284.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M291.6,320V204.26H320.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M327.6,320V196.27H356.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M363.6,320V181.59H392.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M399.6,320V190.47H428.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M435.6,320V223.34H464.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M471.6,320V260.64H500.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g><g class=\"point\"><path d=\"M507.6,320V263.86H536.4V320Z\" style=\"vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0.5px; fill: rgb(99, 110, 250); fill-opacity: 1; stroke: rgb(17, 17, 17); stroke-opacity: 1;\"/></g></g></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M0,0\" style=\"fill: none;\"/><path class=\"ylines-above crisp\" d=\"M0,0\" style=\"fill: none;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" transform=\"translate(98,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\"><tspan class=\"line\" dy=\"0em\" x=\"0\" y=\"433\">Mar 20</tspan><tspan class=\"line\" dy=\"1.3em\" x=\"0\" y=\"433\">2023</tspan></text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(170,0)\">Mar 22</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(242,0)\">Mar 24</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(314,0)\">Mar 26</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(386,0)\">Mar 28</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(458,0)\">Mar 30</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(530,0)\">Apr 1</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"433\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(602,0)\">Apr 3</text></g></g><g class=\"yaxislayer-above\"><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" transform=\"translate(0,420)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\">0</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,368.3)\">0.2T</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,316.6)\">0.4T</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,264.9)\">0.6T</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,213.20999999999998)\">0.8T</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,161.51)\">1T</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"79\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(242, 245, 250); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,109.81)\">1.2T</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-c051f5\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"><text class=\"gtitle\" x=\"35\" y=\"50\" text-anchor=\"start\" dy=\"0em\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 17px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Bitcoin Trading Volume (USD)</text></g><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"350\" y=\"476.409375\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Date</text></g><g class=\"g-ytitle\"><text class=\"ytitle\" transform=\"rotate(-90,30.184375000000003,260)\" x=\"30.184375000000003\" y=\"260\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(242, 245, 250); opacity: 1; font-weight: normal; white-space: pre;\">Trading Volume (USD)</text></g></g></svg>"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"compute_chart('bitcoin', days=14)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"start_time": "2023-04-03T15:23:04.746724Z",
"end_time": "2023-04-03T15:23:05.047551Z"
}
}
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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