{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## `Free` scales on a faceted plot" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2024-04-26T11:45:15.457442Z", "iopub.status.busy": "2024-04-26T11:45:15.457442Z", "iopub.status.idle": "2024-04-26T11:45:16.390474Z", "shell.execute_reply": "2024-04-26T11:45:16.390474Z" } }, "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": "2024-04-26T11:45:16.406107Z", "iopub.status.busy": "2024-04-26T11:45:16.406107Z", "iopub.status.idle": "2024-04-26T11:45:16.548162Z", "shell.execute_reply": "2024-04-26T11:45:16.548162Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " | miles per gallon | \n", "number of cylinders | \n", "engine displacement (cu. inches) | \n", "engine horsepower | \n", "vehicle weight (lbs.) | \n", "time to accelerate (sec.) | \n", "model year | \n", "origin of car | \n", "vehicle name | \n", "
---|---|---|---|---|---|---|---|---|---|
0 | \n", "18.0 | \n", "8 | \n", "307.0 | \n", "130 | \n", "3504 | \n", "12.0 | \n", "70 | \n", "US | \n", "chevrolet chevelle malibu | \n", "
1 | \n", "15.0 | \n", "8 | \n", "350.0 | \n", "165 | \n", "3693 | \n", "11.5 | \n", "70 | \n", "US | \n", "buick skylark 320 | \n", "
2 | \n", "18.0 | \n", "8 | \n", "318.0 | \n", "150 | \n", "3436 | \n", "11.0 | \n", "70 | \n", "US | \n", "plymouth satellite | \n", "