{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Colors and Colormaps" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "from random import shuffle\n", "from algorithm_visualizer import alvito\n", "from utils import random_array\n", "import matplotlib.pyplot as plt\n", "from IPython.display import HTML, display\n", "from IPython.utils import io" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Colors\n", "\n", "All the named colors in matplotlib, read more about them [here](https://matplotlib.org/examples/color/named_colors.html).\n", "\n", "![](images/named_colors.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Colormaps\n", "In this notebook we are gonna take a look at the different built-in colormaps in \n", "matplotlib. You can find more details about the colormaps [here](https://matplotlib.org/tutorials/colors/colormaps.html)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "avo = alvito()\n", "avo.fps = 1\n", "avo.show_xlable = False\n", "avo.title_fontsize = 9\n", "avo.rectangle_linewidth = 2\n", "avo.dpi = 80\n", "\n", "avo.save_dir = 'cmap_gifs/'\n", "avo.custom_save_name = True\n", "\n", "shape = (10,1)\n", "array = random_array(shape)\n", "\n", "with io.capture_output() as captured: # supressing output when looping over all the cmaps\n", " for cmap_name in plt.colormaps():\n", " avo.colormap = cmap_name\n", " avo.save_name = cmap_name\n", " avo.insertionSort(array, cmap_name)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i in range(0,len(plt.colormaps()),11):\n", " display_sting = \"\"\n", " for cmap in plt.colormaps()[i:i+11]:\n", " display_sting += f''\n", " display_sting += \"
\"\n", " display(HTML(display_sting))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.1" } }, "nbformat": 4, "nbformat_minor": 2 }