{ "cells": [ { "cell_type": "markdown", "id": "1401e426-caf4-43eb-b971-84c1fd723315", "metadata": {}, "source": [ "# Color Scales Using Matplotlib's Colormap \n", "\n", "Use `scale_color_cmapmpl()`, `scale_fill_cmapmpl()`, or `scale_cmapmpl()` to extract colors from a colormap and apply them to your chart.\n", "\n", "If a colormap is registered with Matplotlib, you can access it by its name. Otherwise, you can pass a cmap object directly.\n", "\n", "**Note:** These functions require Matplotlib to be installed in your environment." ] }, { "cell_type": "code", "execution_count": 1, "id": "f44cb9f5-5516-479d-affa-256e980ba092", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "from lets_plot import *" ] }, { "cell_type": "code", "execution_count": 2, "id": "8fdbc059-3ee7-4636-8687-499eacfff2d9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "LetsPlot.setup_html()" ] }, { "cell_type": "code", "execution_count": 3, "id": "6f7532e8-1d2f-4bbb-86c9-c951283f4d94", "metadata": {}, "outputs": [], "source": [ "np.random.seed(42)\n", "n = 100\n", "x = np.random.uniform(-1, 1, size=n)\n", "y = 25 * x ** 2 + np.random.normal(size=n)\n", "\n", "p = ggplot({'x': x, 'y': y}) \\\n", " + geom_point(aes(x='x', y='y', fill='y'), shape=21, size=7, color='white')\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "42a30ed5-b719-4c1c-a64f-7caeb65c13be", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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