{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:40:48.453058Z", "iopub.status.busy": "2024-04-26T11:40:48.453058Z", "iopub.status.idle": "2024-04-26T11:40:49.449503Z", "shell.execute_reply": "2024-04-26T11:40:49.449503Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "\n", "from lets_plot import *\n", "LetsPlot.setup_html()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:40:49.466163Z", "iopub.status.busy": "2024-04-26T11:40:49.466163Z", "iopub.status.idle": "2024-04-26T11:40:49.592776Z", "shell.execute_reply": "2024-04-26T11:40:49.592776Z" } }, "outputs": [], "source": [ "mpg_df=pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:40:49.598732Z", "iopub.status.busy": "2024-04-26T11:40:49.598732Z", "iopub.status.idle": "2024-04-26T11:40:49.704769Z", "shell.execute_reply": "2024-04-26T11:40:49.703761Z" }, "scrolled": false }, "outputs": [ { "data": { "text/html": [ " \n", " " ], "text/plain": [ "