{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6c64be87-9213-418b-b064-ea68413ad07f", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from lets_plot import *" ] }, { "cell_type": "code", "execution_count": 2, "id": "f131d15a-6f9e-4d94-abb2-eb398c5ff102", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "LetsPlot.setup_html()" ] }, { "cell_type": "code", "execution_count": 3, "id": "3fac76cc-0aba-4a0f-8b82-491c18ac28b7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
classminmedianmaxcount
02seater2325.0265
1compact2327.04447
2midsize2327.03241
\n", "
" ], "text/plain": [ " class min median max count\n", "0 2seater 23 25.0 26 5\n", "1 compact 23 27.0 44 47\n", "2 midsize 23 27.0 32 41" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mpg_df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv')\n", "mpg_df.head(3)\n", "\n", "class_df = mpg_df.groupby('class').hwy.agg(['min', 'median', 'max', 'count']).reset_index()\n", "class_df.head(3)" ] }, { "cell_type": "code", "execution_count": 4, "id": "9379a3b1-ce7f-43b1-bdfb-a7c9074a4e6a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " " ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gggrid([\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max')),\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max'), tooltips=layer_tooltips().disable_splitting()),\n", "\n", " ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', x='median', xmax='max')),\n", " ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', x='median', xmax='max'), tooltips=layer_tooltips().disable_splitting()),\n", "\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max')) + coord_flip(),\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max'), tooltips=layer_tooltips().disable_splitting()) + coord_flip(),\n", "], ncol=2)" ] }, { "cell_type": "code", "execution_count": 5, "id": "281f9548-478c-4ce3-b9aa-e104b24521da", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " " ], "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gggrid([\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max')),\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max'), tooltips=layer_tooltips().disable_splitting()),\n", "\n", " ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', xmax='max')),\n", " ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', xmax='max'), tooltips=layer_tooltips().disable_splitting()),\n", "\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max')) + coord_flip(),\n", " ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max'), tooltips=layer_tooltips().disable_splitting()) + coord_flip(),\n", "], ncol=2)" ] }, { "cell_type": "code", "execution_count": null, "id": "4d2b915e-6f6d-4fb0-82cc-b02cf0a943e5", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.18" } }, "nbformat": 4, "nbformat_minor": 5 }