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aialenti/notebook.ipynb

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notebook.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Hello World"
]
},
{
"cell_type": "code",
"execution_count": 294,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"// Import ECharts, the Javascript charting library\n",
"require.config({\n",
" paths: {\n",
" ech: 'https://cdnjs.cloudflare.com/ajax/libs/echarts/4.8.0/echarts.min'\n",
" }\n",
"});\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"// Import eCharts, the Javascript charting library\n",
"require.config({\n",
" paths: {\n",
" ech: 'https://cdnjs.cloudflare.com/ajax/libs/echarts/4.8.0/echarts.min'\n",
" }\n",
"});"
]
},
{
"cell_type": "code",
"execution_count": 295,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"COLUMN = \"retail_and_recreation_percent_change_from_baseline\"\n",
"DATA_LOCATION = \"<PATH TO FILES>\"\n",
"\n",
"def get_data():\n",
" # Get the raw data\n",
" raw_data = pd.read_csv(\"{}Global_Mobility_Report.csv\".format(DATA_LOCATION))\n",
" \n",
" # Take only metrics by state (no sub regions). \n",
" # Note that we only want the records where sub_region_1 is not available\n",
" raw_data = raw_data.fillna(\"NA\")\n",
" raw_data = raw_data.loc[raw_data[\"sub_region_1\"] == 'NA']\n",
"\n",
" # Drop the columns that are not needed\n",
" raw_data = raw_data.drop([\"country_region_code\", \"sub_region_1\", \"sub_region_2\"], axis=1) \n",
" \n",
" # Create the JSON we will use in the Javascript code\n",
" countries = np.unique(raw_data[\"country_region\"])\n",
" final_dict = {\n",
" \"dates\": list(raw_data.loc[raw_data[\"country_region\"]==\"Afghanistan\"].sort_values(\"date\")[\"date\"].values),\n",
" \"country_data\":[]\n",
" \n",
" }\n",
" \n",
" # Create one element of the \"country_data\" array for each country\n",
" for _c in countries:\n",
" _tmp_data = raw_data.loc[raw_data[\"country_region\"] == _c].sort_values(\"date\")\n",
" _data = _tmp_data[COLUMN]\n",
" final_dict[\"country_data\"].append({\n",
" \"name\": _c,\n",
" \"data\": list(_data.values)\n",
" })\n",
"\n",
" # Return the JSON dumpe\n",
" return json.dumps(final_dict)"
]
},
{
"cell_type": "code",
"execution_count": 296,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"// The output of get_data will be stored in the following function\n",
"window.outputVar = null\n",
"\n",
"IPython.notebook.kernel.execute(\n",
" \"get_data()\", \n",
" {\n",
" iopub: {\n",
" output: function(response) {\n",
" // Get output as plain text\n",
" var output = response.content.data[\"text/plain\"];\n",
" console.log(output)\n",
" \n",
" // Remove unwanted characters\n",
" output = output.substring(1, output.length-1).replace(\"\\\\'\",\"'\")\n",
" \n",
" // Set the variable\n",
" window.outputVar = JSON.parse(output)\n",
" }\n",
" }\n",
" },\n",
" {\n",
" silent: false, \n",
" store_history: false, \n",
" stop_on_error: true\n",
" }\n",
")\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"// The output of get_data will be stored in the following function\n",
"window.outputVar = null\n",
"\n",
"IPython.notebook.kernel.execute(\n",
" \"get_data()\", \n",
" {\n",
" iopub: {\n",
" output: function(response) {\n",
" // Get output as plain text\n",
" var output = response.content.data[\"text/plain\"];\n",
" console.log(output)\n",
" \n",
" // Remove unwanted characters\n",
" output = output.substring(1, output.length-1).replace(\"\\\\'\",\"'\")\n",
" \n",
" // Set the variable\n",
" window.outputVar = JSON.parse(output)\n",
" }\n",
" }\n",
" },\n",
" {\n",
" silent: false, \n",
" store_history: false, \n",
" stop_on_error: true\n",
" }\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 297,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"window.buildChart = function(cellElement){\n",
"(function(element) {\n",
" // Execute the following code after requiring `ech`\n",
" require(['ech'], function(ech) {\n",
" \n",
" // The `ech` variable contains echarts\n",
" var echarts = ech\n",
" \n",
" // Append to the current \"Cell Element\" the chart's container\n",
" cellElement.append(\"<div id='main' style='height:500px;'>hi</div>\")\n",
" \n",
" // Init Highcharts\n",
" var myChart = echarts.init(document.getElementById('main'));\n",
" \n",
" // Create data object\n",
" var data = window.outputVar\n",
" \n",
" // Save the dates in a separate variable\n",
" var dates = data.dates\n",
" \n",
" var series = []\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" var _name = data.country_data[_i][\"name\"]\n",
" var _data = data.country_data[_i][\"data\"]\n",
" \n",
" series.push({\n",
" name: _name,\n",
" type: 'line',\n",
" data: _data\n",
" })\n",
" }\n",
" \n",
" \n",
" myChart.setOption({\n",
" title: {\n",
" text: 'Google COVID-19 Mobility'\n",
" },\n",
" tooltip: {\n",
" trigger: 'item'\n",
" },\n",
" grid: {\n",
" left: '3%',\n",
" right: '4%',\n",
" bottom: '3%',\n",
" containLabel: true\n",
" },\n",
" xAxis: {\n",
" type: 'category',\n",
" data: dates // We can get this array directly from the `get_data()` output\n",
" },\n",
" yAxis: {\n",
" type: 'value'\n",
" },\n",
" series: series // We just need to create this\n",
" })\n",
" })\n",
"})(element);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"window.buildChart = function(cellElement){\n",
"(function(element) {\n",
" // Execute the following code after requiring `ech`\n",
" require(['ech'], function(ech) {\n",
" \n",
" // The `ech` variable contains echarts\n",
" var echarts = ech\n",
" \n",
" // Append to the current \"Cell Element\" the chart's container\n",
" cellElement.append(\"<div id='main' style='height:500px;'>hi</div>\")\n",
" \n",
" // Init Highcharts\n",
" var myChart = echarts.init(document.getElementById('main'));\n",
" \n",
" // Create data object\n",
" var data = window.outputVar\n",
" \n",
" // Save the dates in a separate variable\n",
" var dates = data.dates\n",
" \n",
" var series = []\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" var _name = data.country_data[_i][\"name\"]\n",
" var _data = data.country_data[_i][\"data\"]\n",
" \n",
" series.push({\n",
" name: _name,\n",
" type: 'line',\n",
" data: _data\n",
" })\n",
" }\n",
" \n",
" \n",
" myChart.setOption({\n",
" title: {\n",
" text: 'Google COVID-19 Mobility'\n",
" },\n",
" tooltip: {\n",
" trigger: 'item'\n",
" },\n",
" grid: {\n",
" left: '3%',\n",
" right: '4%',\n",
" bottom: '3%',\n",
" containLabel: true\n",
" },\n",
" xAxis: {\n",
" type: 'category',\n",
" data: dates // We can get this array directly from the `get_data()` output\n",
" },\n",
" yAxis: {\n",
" type: 'value'\n",
" },\n",
" series: series // We just need to create this\n",
" })\n",
" })\n",
"})(element);\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 298,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"window.buildChart(element)\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"window.buildChart(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Add events"
]
},
{
"cell_type": "code",
"execution_count": 299,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"import json\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"COLUMNS = [\"retail_and_recreation_percent_change_from_baseline\",\n",
" \"grocery_and_pharmacy_percent_change_from_baseline\",\n",
" \"parks_percent_change_from_baseline\",\n",
" \"transit_stations_percent_change_from_baseline\",\n",
" \"workplaces_percent_change_from_baseline\",\n",
" \"residential_percent_change_from_baseline\"]\n",
"DATA_LOCATION = \"/Users/anialent/Projects/notebook-javascript/data/\"\n",
"\n",
"def get_data_all():\n",
" # Get the raw data\n",
" raw_data = pd.read_csv(\"{}Global_Mobility_Report.csv\".format(DATA_LOCATION))\n",
" \n",
" # Take only metrics by state (no sub regions). \n",
" # Note that we only want the records where sub_region_1 is not available\n",
" raw_data = raw_data.fillna(\"NA\")\n",
" raw_data = raw_data.loc[raw_data[\"sub_region_1\"] == 'NA']\n",
"\n",
" # Drop the columns that are not needed\n",
" raw_data = raw_data.drop([\"country_region_code\", \"sub_region_1\", \"sub_region_2\"], axis=1) \n",
" \n",
" # Create the JSON we will use in the Javascript code\n",
" countries = np.unique(raw_data[\"country_region\"])\n",
" final_dict = {\n",
" \"dates\": list(raw_data.loc[raw_data[\"country_region\"]==\"Afghanistan\"].sort_values(\"date\")[\"date\"].values),\n",
" \"country_data\":[]\n",
" \n",
" }\n",
" \n",
" # Create one element of the \"country_data\" array for each country\n",
" for _c in countries:\n",
" _tmp_data = raw_data.loc[raw_data[\"country_region\"] == _c].sort_values(\"date\")\n",
" \n",
" # Create the new element in the final dict for the country data\n",
" final_dict[\"country_data\"].append({\n",
" \"name\": _c\n",
" })\n",
" \n",
" # Create one property for each KPI\n",
" for _col in COLUMNS:\n",
" _data = _tmp_data[_col]\n",
" final_dict[\"country_data\"][len(final_dict[\"country_data\"])-1][_col] = list(_data.values)\n",
"\n",
" # Return the JSON dumpe\n",
" return json.dumps(final_dict)\n"
]
},
{
"cell_type": "code",
"execution_count": 300,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"// The output of get_data will be stored in the following function\n",
"window.outputVarAll = null\n",
"\n",
"IPython.notebook.kernel.execute(\n",
" \"get_data_all()\", \n",
" {\n",
" iopub: {\n",
" output: function(response) {\n",
" // Get output as plain text\n",
" var output = response.content.data[\"text/plain\"];\n",
" console.log(output)\n",
" \n",
" // Remove unwanted characters\n",
" output = output.substring(1, output.length-1).replace(\"\\\\'\",\"'\")\n",
" \n",
" // Set the variable\n",
" window.outputVarAll = JSON.parse(output)\n",
" }\n",
" }\n",
" },\n",
" {\n",
" silent: false, \n",
" store_history: false, \n",
" stop_on_error: true\n",
" }\n",
")\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"// The output of get_data will be stored in the following function\n",
"window.outputVarAll = null\n",
"\n",
"IPython.notebook.kernel.execute(\n",
" \"get_data_all()\", \n",
" {\n",
" iopub: {\n",
" output: function(response) {\n",
" // Get output as plain text\n",
" var output = response.content.data[\"text/plain\"];\n",
" console.log(output)\n",
" \n",
" // Remove unwanted characters\n",
" output = output.substring(1, output.length-1).replace(\"\\\\'\",\"'\")\n",
" \n",
" // Set the variable\n",
" window.outputVarAll = JSON.parse(output)\n",
" }\n",
" }\n",
" },\n",
" {\n",
" silent: false, \n",
" store_history: false, \n",
" stop_on_error: true\n",
" }\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 301,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"// This time we have to pass some default paramters (countries selection and column to display)\n",
"window.buildChartSelect = function(cellElement, filteredCountries=[],\n",
" column=\"retail_and_recreation_percent_change_from_baseline\"){\n",
" (function(element) {\n",
" // Execute the following code after requiring `ech`\n",
" require(['ech'], function(ech) {\n",
" \n",
" // The `ech` variable contains echarts\n",
" var echarts = ech\n",
" \n",
" // Append to the current \"Cell Element\" the chart's container\n",
" cellElement.append(\"<div id='main2' style='height:500px;'>hi</div>\")\n",
" \n",
" // Init Highcharts\n",
" var myChart = echarts.init(document.getElementById('main2'));\n",
"\n",
" // Create data object\n",
" var data = window.outputVarAll\n",
" \n",
" // Save the dates in a separate variable\n",
" var dates = data.dates\n",
" \n",
" // Generate the series according to the filters\n",
" var series = []\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" if((filteredCountries.length > 0 && filteredCountries.indexOf(data.country_data[_i][\"name\"])>=0) \n",
" || filteredCountries.length === 0){\n",
" // the `series object` will only contain the selected countries (all countries by default)\n",
" var _name = data.country_data[_i][\"name\"] \n",
" \n",
" // the series object will contain only the selected column\n",
" var _data = data.country_data[_i][column] \n",
"\n",
" series.push({\n",
" name: _name,\n",
" type: 'line',\n",
" data: _data\n",
" })\n",
" }\n",
" }\n",
"\n",
" myChart.setOption({\n",
" title: {\n",
" text: 'Google COVID-19 Mobility'\n",
" },\n",
" tooltip: {\n",
" trigger: 'item'\n",
" },\n",
" grid: {\n",
" left: '3%',\n",
" right: '4%',\n",
" bottom: '3%',\n",
" containLabel: true\n",
" },\n",
" xAxis: {\n",
" type: 'category',\n",
" data: dates\n",
" },\n",
" yAxis: {\n",
" type: 'value'\n",
" },\n",
" series: series\n",
" })\n",
" })\n",
" })(element);\n",
"}\n",
"\n",
"window.controlsOnChange = function(cellElement){\n",
" // Get the selected countries\n",
" var select = document.getElementById(\"countries\");\n",
" console.log(select)\n",
" var selected = [];\n",
" for (var i = 0; i < select.length; i++) {\n",
" if (select.options[i].selected) selected.push(select.options[i].value);\n",
" }\n",
" \n",
" // Get the selected KPI\n",
" var kpis = document.getElementById(\"kpis\");\n",
" var column = kpis.options[kpis.selectedIndex].value;\n",
" console.log(column)\n",
" // Remove previous visual\n",
" document.getElementById(\"main2\").remove()\n",
" window.buildChartSelect(cellElement, selected, column)\n",
"}\n",
"\n",
"window.buildControls = function(cellElement){\n",
" var data = window.outputVar\n",
" \n",
" // Generate the `select` element for the countries\n",
" var controlHTML = document.createElement(\"select\");\n",
" controlHTML.setAttribute(\"style\", \"height:150px;\");\n",
" controlHTML.setAttribute(\"id\", \"countries\");\n",
" controlHTML.setAttribute(\"multiple\", \"multiple\");\n",
" \n",
" // Generate the inner HTML\n",
" var controlInnerHTML = \"\"\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" var _name = data.country_data[_i][\"name\"]\n",
" controlInnerHTML += `<option value=\"${_name}\">${_name}</option>`\n",
" }\n",
" // Set the inner HTML\n",
" controlHTML.innerHTML = controlInnerHTML\n",
" \n",
" // !!! Enable events on the HTML object: on input change, we want to refresh the chart\n",
" controlHTML.addEventListener('change', function() {\n",
" window.controlsOnChange(cellElement)\n",
" });\n",
" \n",
" // Append the new HTML object to the cell\n",
" cellElement.append(controlHTML)\n",
" \n",
" // Generate the `select` elment to control which KPI to display\n",
" var COLUMNS = [\"retail_and_recreation_percent_change_from_baseline\",\n",
" \"grocery_and_pharmacy_percent_change_from_baseline\",\n",
" \"parks_percent_change_from_baseline\",\n",
" \"transit_stations_percent_change_from_baseline\",\n",
" \"workplaces_percent_change_from_baseline\",\n",
" \"residential_percent_change_from_baseline\"]\n",
" \n",
" // Generate the HTML element\n",
" var controlKPIHTML = document.createElement(\"select\");\n",
" controlKPIHTML.setAttribute(\"id\", \"kpis\");\n",
" \n",
" // Generate the options\n",
" var controlKPIInnerHTML = \"\"\n",
" for(var _i=0; _i<COLUMNS.length; _i++){\n",
" var _name = COLUMNS[_i]\n",
" controlKPIInnerHTML += `<option value=\"${_name}\">${_name}</option>`\n",
" }\n",
" controlKPIHTML.innerHTML = controlKPIInnerHTML\n",
" \n",
" // !!! Enable events on the HTML object: on input change, we want to refresh the chart\n",
" controlKPIHTML.addEventListener('change', function() {\n",
" window.controlsOnChange(cellElement)\n",
" });\n",
" cellElement.append(controlKPIHTML)\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"// This time we have to pass some default paramters (countries selection and column to display)\n",
"window.buildChartSelect = function(cellElement, filteredCountries=[],\n",
" column=\"retail_and_recreation_percent_change_from_baseline\"){\n",
" (function(element) {\n",
" // Execute the following code after requiring `ech`\n",
" require(['ech'], function(ech) {\n",
" \n",
" // The `ech` variable contains echarts\n",
" var echarts = ech\n",
" \n",
" // Append to the current \"Cell Element\" the chart's container\n",
" cellElement.append(\"<div id='main2' style='height:500px;'>hi</div>\")\n",
" \n",
" // Init Highcharts\n",
" var myChart = echarts.init(document.getElementById('main2'));\n",
"\n",
" // Create data object\n",
" var data = window.outputVarAll\n",
" \n",
" // Save the dates in a separate variable\n",
" var dates = data.dates\n",
" \n",
" // Generate the series according to the filters\n",
" var series = []\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" if((filteredCountries.length > 0 && filteredCountries.indexOf(data.country_data[_i][\"name\"])>=0) \n",
" || filteredCountries.length === 0){\n",
" // the `series object` will only contain the selected countries (all countries by default)\n",
" var _name = data.country_data[_i][\"name\"] \n",
" \n",
" // the series object will contain only the selected column\n",
" var _data = data.country_data[_i][column] \n",
"\n",
" series.push({\n",
" name: _name,\n",
" type: 'line',\n",
" data: _data\n",
" })\n",
" }\n",
" }\n",
"\n",
" myChart.setOption({\n",
" title: {\n",
" text: 'Google COVID-19 Mobility'\n",
" },\n",
" tooltip: {\n",
" trigger: 'item'\n",
" },\n",
" grid: {\n",
" left: '3%',\n",
" right: '4%',\n",
" bottom: '3%',\n",
" containLabel: true\n",
" },\n",
" xAxis: {\n",
" type: 'category',\n",
" data: dates\n",
" },\n",
" yAxis: {\n",
" type: 'value'\n",
" },\n",
" series: series\n",
" })\n",
" })\n",
" })(element);\n",
"}\n",
"\n",
"window.controlsOnChange = function(cellElement){\n",
" // Get the selected countries\n",
" var select = document.getElementById(\"countries\");\n",
" console.log(select)\n",
" var selected = [];\n",
" for (var i = 0; i < select.length; i++) {\n",
" if (select.options[i].selected) selected.push(select.options[i].value);\n",
" }\n",
" \n",
" // Get the selected KPI\n",
" var kpis = document.getElementById(\"kpis\");\n",
" var column = kpis.options[kpis.selectedIndex].value;\n",
" console.log(column)\n",
" // Remove previous visual\n",
" document.getElementById(\"main2\").remove()\n",
" window.buildChartSelect(cellElement, selected, column)\n",
"}\n",
"\n",
"window.buildControls = function(cellElement){\n",
" var data = window.outputVar\n",
" \n",
" // Generate the `select` element for the countries\n",
" var controlHTML = document.createElement(\"select\");\n",
" controlHTML.setAttribute(\"style\", \"height:150px;\");\n",
" controlHTML.setAttribute(\"id\", \"countries\");\n",
" controlHTML.setAttribute(\"multiple\", \"multiple\");\n",
" \n",
" // Generate the inner HTML\n",
" var controlInnerHTML = \"\"\n",
" for(var _i=0; _i<data.country_data.length; _i++){\n",
" var _name = data.country_data[_i][\"name\"]\n",
" controlInnerHTML += `<option value=\"${_name}\">${_name}</option>`\n",
" }\n",
" // Set the inner HTML\n",
" controlHTML.innerHTML = controlInnerHTML\n",
" \n",
" // !!! Enable events on the HTML object: on input change, we want to refresh the chart\n",
" controlHTML.addEventListener('change', function() {\n",
" window.controlsOnChange(cellElement)\n",
" });\n",
" \n",
" // Append the new HTML object to the cell\n",
" cellElement.append(controlHTML)\n",
" \n",
" // Generate the `select` elment to control which KPI to display\n",
" var COLUMNS = [\"retail_and_recreation_percent_change_from_baseline\",\n",
" \"grocery_and_pharmacy_percent_change_from_baseline\",\n",
" \"parks_percent_change_from_baseline\",\n",
" \"transit_stations_percent_change_from_baseline\",\n",
" \"workplaces_percent_change_from_baseline\",\n",
" \"residential_percent_change_from_baseline\"]\n",
" \n",
" // Generate the HTML element\n",
" var controlKPIHTML = document.createElement(\"select\");\n",
" controlKPIHTML.setAttribute(\"id\", \"kpis\");\n",
" \n",
" // Generate the options\n",
" var controlKPIInnerHTML = \"\"\n",
" for(var _i=0; _i<COLUMNS.length; _i++){\n",
" var _name = COLUMNS[_i]\n",
" controlKPIInnerHTML += `<option value=\"${_name}\">${_name}</option>`\n",
" }\n",
" controlKPIHTML.innerHTML = controlKPIInnerHTML\n",
" \n",
" // !!! Enable events on the HTML object: on input change, we want to refresh the chart\n",
" controlKPIHTML.addEventListener('change', function() {\n",
" window.controlsOnChange(cellElement)\n",
" });\n",
" cellElement.append(controlKPIHTML)\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 302,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"window.buildChartSelect(element)\n",
"window.buildControls(element)\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"window.buildChartSelect(element)\n",
"window.buildControls(element)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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