{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "saving-matrix", "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:45:42.054585Z", "iopub.status.busy": "2024-04-26T11:45:42.054585Z", "iopub.status.idle": "2024-04-26T11:45:43.081072Z", "shell.execute_reply": "2024-04-26T11:45:43.080287Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "from lets_plot import *\n", "LetsPlot.setup_html()" ] }, { "cell_type": "code", "execution_count": 2, "id": "rough-following", "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:45:43.082388Z", "iopub.status.busy": "2024-04-26T11:45:43.082388Z", "iopub.status.idle": "2024-04-26T11:45:43.207805Z", "shell.execute_reply": "2024-04-26T11:45:43.207805Z" } }, "outputs": [], "source": [ "df = pd.read_csv(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "social-andrews", "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:45:43.207805Z", "iopub.status.busy": "2024-04-26T11:45:43.207805Z", "iopub.status.idle": "2024-04-26T11:45:43.334196Z", "shell.execute_reply": "2024-04-26T11:45:43.334196Z" } }, "outputs": [ { "data": { "text/html": [ " \n", " " ], "text/plain": [ "