From 24c1295a7f1e4a5bd8106b85a79425bb26318ef9 Mon Sep 17 00:00:00 2001 From: Isabel Zimmerman <54685329+isabelizimm@users.noreply.github.com> Date: Wed, 26 Jun 2024 09:14:11 -0400 Subject: [PATCH] add `scale_fill_continuous` example (#22) * add scale_fill_continuous example * updates from review * cmap_name to plasma --- contributors.txt | 1 + .../examples/scale_fill_continuous.ipynb | 235 ++++++++++++++++++ 2 files changed, 236 insertions(+) create mode 100644 plotnine_examples/examples/scale_fill_continuous.ipynb diff --git a/contributors.txt b/contributors.txt index 92d4ea3..0581213 100644 --- a/contributors.txt +++ b/contributors.txt @@ -1,5 +1,6 @@ @alexanderchiu Alexander Chiu @has2k1 - Hassan Kibirige +@isabelizimm - Isabel Zimmerman @joshhartman11 - Josh Hartmann @melomcr - Marcelo Melo @orsinium - Gram diff --git a/plotnine_examples/examples/scale_fill_continuous.ipynb b/plotnine_examples/examples/scale_fill_continuous.ipynb new file mode 100644 index 0000000..8245599 --- /dev/null +++ b/plotnine_examples/examples/scale_fill_continuous.ipynb @@ -0,0 +1,235 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-03-05T15:41:26.360955Z", + "iopub.status.busy": "2024-03-05T15:41:26.360650Z", + "iopub.status.idle": "2024-03-05T15:41:27.070836Z", + "shell.execute_reply": "2024-03-05T15:41:27.070152Z" + } + }, + "outputs": [], + "source": [ + "from plotnine import (\n", + " ggplot,\n", + " aes,\n", + " theme_matplotlib,\n", + " theme_set,\n", + " geom_tile,\n", + " scale_fill_continuous,\n", + " coord_cartesian\n", + ")\n", + "\n", + "from plotnine.data import faithfuld\n", + "\n", + "# Set default theme for all the plots\n", + "theme_set(theme_matplotlib())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Simple heatmap\n", + "\n", + "_Map data to color gradient_\n", + "\n", + "Without specifically calling `scale_fill_continuous()`, a default scale is applied to `geom_tile()`." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(\n", + " ggplot(faithfuld, aes(\"waiting\", \"eruptions\", fill=\"density\")) \n", + " + geom_tile()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice that adding `scale_fill_continuous()` will not change the default plot." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(\n", + " ggplot(faithfuld, aes(\"waiting\", \"eruptions\", fill=\"density\"))\n", + " + geom_tile()\n", + " + scale_fill_continuous()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The scale aesthetics can be edited to other color maps. Use the `cmap_name` argument to specify an alternative palette. Find other [available color maps in the matplotlib documentation](https://matplotlib.org/stable/users/explain/colors/colormaps.html#classes-of-colormaps)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Gallery, tiles\n", + "\n", + "(\n", + " ggplot(faithfuld, aes(\"waiting\", \"eruptions\", fill=\"density\"))\n", + " + geom_tile()\n", + " + scale_fill_continuous(cmap_name=\"plasma\")\n", + " + coord_cartesian(expand=False)\n", + ")" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}