mplot2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyP/K0wq9606fZaWNmro+Hly",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/njasharp/Awesome-Python-Projects/blob/master/mplot2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "Vhf2DvXcCssr",
        "outputId": "0f1fc6df-9a8f-42d7-961b-12248f46f9de"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['magma',\n",
              " 'inferno',\n",
              " 'plasma',\n",
              " 'viridis',\n",
              " 'cividis',\n",
              " 'twilight',\n",
              " 'twilight_shifted',\n",
              " 'turbo',\n",
              " 'Blues',\n",
              " 'BrBG',\n",
              " 'BuGn',\n",
              " 'BuPu',\n",
              " 'CMRmap',\n",
              " 'GnBu',\n",
              " 'Greens',\n",
              " 'Greys',\n",
              " 'OrRd',\n",
              " 'Oranges',\n",
              " 'PRGn',\n",
              " 'PiYG',\n",
              " 'PuBu',\n",
              " 'PuBuGn',\n",
              " 'PuOr',\n",
              " 'PuRd',\n",
              " 'Purples',\n",
              " 'RdBu',\n",
              " 'RdGy',\n",
              " 'RdPu',\n",
              " 'RdYlBu',\n",
              " 'RdYlGn',\n",
              " 'Reds',\n",
              " 'Spectral',\n",
              " 'Wistia',\n",
              " 'YlGn',\n",
              " 'YlGnBu',\n",
              " 'YlOrBr',\n",
              " 'YlOrRd',\n",
              " 'afmhot',\n",
              " 'autumn',\n",
              " 'binary',\n",
              " 'bone',\n",
              " 'brg',\n",
              " 'bwr',\n",
              " 'cool',\n",
              " 'coolwarm',\n",
              " 'copper',\n",
              " 'cubehelix',\n",
              " 'flag',\n",
              " 'gist_earth',\n",
              " 'gist_gray',\n",
              " 'gist_heat',\n",
              " 'gist_ncar',\n",
              " 'gist_rainbow',\n",
              " 'gist_stern',\n",
              " 'gist_yarg',\n",
              " 'gnuplot',\n",
              " 'gnuplot2',\n",
              " 'gray',\n",
              " 'hot',\n",
              " 'hsv',\n",
              " 'jet',\n",
              " 'nipy_spectral',\n",
              " 'ocean',\n",
              " 'pink',\n",
              " 'prism',\n",
              " 'rainbow',\n",
              " 'seismic',\n",
              " 'spring',\n",
              " 'summer',\n",
              " 'terrain',\n",
              " 'winter',\n",
              " 'Accent',\n",
              " 'Dark2',\n",
              " 'Paired',\n",
              " 'Pastel1',\n",
              " 'Pastel2',\n",
              " 'Set1',\n",
              " 'Set2',\n",
              " 'Set3',\n",
              " 'tab10',\n",
              " 'tab20',\n",
              " 'tab20b',\n",
              " 'tab20c',\n",
              " 'magma_r',\n",
              " 'inferno_r',\n",
              " 'plasma_r',\n",
              " 'viridis_r',\n",
              " 'cividis_r',\n",
              " 'twilight_r',\n",
              " 'twilight_shifted_r',\n",
              " 'turbo_r',\n",
              " 'Blues_r',\n",
              " 'BrBG_r',\n",
              " 'BuGn_r',\n",
              " 'BuPu_r',\n",
              " 'CMRmap_r',\n",
              " 'GnBu_r',\n",
              " 'Greens_r',\n",
              " 'Greys_r',\n",
              " 'OrRd_r',\n",
              " 'Oranges_r',\n",
              " 'PRGn_r',\n",
              " 'PiYG_r',\n",
              " 'PuBu_r',\n",
              " 'PuBuGn_r',\n",
              " 'PuOr_r',\n",
              " 'PuRd_r',\n",
              " 'Purples_r',\n",
              " 'RdBu_r',\n",
              " 'RdGy_r',\n",
              " 'RdPu_r',\n",
              " 'RdYlBu_r',\n",
              " 'RdYlGn_r',\n",
              " 'Reds_r',\n",
              " 'Spectral_r',\n",
              " 'Wistia_r',\n",
              " 'YlGn_r',\n",
              " 'YlGnBu_r',\n",
              " 'YlOrBr_r',\n",
              " 'YlOrRd_r',\n",
              " 'afmhot_r',\n",
              " 'autumn_r',\n",
              " 'binary_r',\n",
              " 'bone_r',\n",
              " 'brg_r',\n",
              " 'bwr_r',\n",
              " 'cool_r',\n",
              " 'coolwarm_r',\n",
              " 'copper_r',\n",
              " 'cubehelix_r',\n",
              " 'flag_r',\n",
              " 'gist_earth_r',\n",
              " 'gist_gray_r',\n",
              " 'gist_heat_r',\n",
              " 'gist_ncar_r',\n",
              " 'gist_rainbow_r',\n",
              " 'gist_stern_r',\n",
              " 'gist_yarg_r',\n",
              " 'gnuplot_r',\n",
              " 'gnuplot2_r',\n",
              " 'gray_r',\n",
              " 'hot_r',\n",
              " 'hsv_r',\n",
              " 'jet_r',\n",
              " 'nipy_spectral_r',\n",
              " 'ocean_r',\n",
              " 'pink_r',\n",
              " 'prism_r',\n",
              " 'rainbow_r',\n",
              " 'seismic_r',\n",
              " 'spring_r',\n",
              " 'summer_r',\n",
              " 'terrain_r',\n",
              " 'winter_r',\n",
              " 'Accent_r',\n",
              " 'Dark2_r',\n",
              " 'Paired_r',\n",
              " 'Pastel1_r',\n",
              " 'Pastel2_r',\n",
              " 'Set1_r',\n",
              " 'Set2_r',\n",
              " 'Set3_r',\n",
              " 'tab10_r',\n",
              " 'tab20_r',\n",
              " 'tab20b_r',\n",
              " 'tab20c_r']"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ],
      "source": [
        "from matplotlib import colormaps\n",
        "list(colormaps)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from colorspacious import cspace_converter\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "import matplotlib as mpl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        },
        "collapsed": true,
        "id": "7GKi_NfcC8VX",
        "outputId": "3b236abe-4d0b-42f9-ba9a-025b54004190"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ModuleNotFoundError",
          "evalue": "No module named 'colorspacious'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-2-a4ef1efd8f8c>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mcolorspacious\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcspace_converter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'colorspacious'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ],
          "errorDetails": {
            "actions": [
              {
                "action": "open_url",
                "actionText": "Open Examples",
                "url": "/notebooks/snippets/importing_libraries.ipynb"
              }
            ]
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cmaps = {}\n",
        "\n",
        "gradient = np.linspace(0, 1, 256)\n",
        "gradient = np.vstack((gradient, gradient))\n",
        "\n",
        "\n",
        "def plot_color_gradients(category, cmap_list):\n",
        "    # Create figure and adjust figure height to number of colormaps\n",
        "    nrows = len(cmap_list)\n",
        "    figh = 0.35 + 0.15 + (nrows + (nrows - 1) * 0.1) * 0.22\n",
        "    fig, axs = plt.subplots(nrows=nrows + 1, figsize=(6.4, figh))\n",
        "    fig.subplots_adjust(top=1 - 0.35 / figh, bottom=0.15 / figh,\n",
        "                        left=0.2, right=0.99)\n",
        "    axs[0].set_title(f'{category} colormaps', fontsize=14)\n",
        "\n",
        "    for ax, name in zip(axs, cmap_list):\n",
        "        ax.imshow(gradient, aspect='auto', cmap=mpl.colormaps[name])\n",
        "        ax.text(-0.01, 0.5, name, va='center', ha='right', fontsize=10,\n",
        "                transform=ax.transAxes)\n",
        "\n",
        "    # Turn off *all* ticks & spines, not just the ones with colormaps.\n",
        "    for ax in axs:\n",
        "        ax.set_axis_off()\n",
        "\n",
        "    # Save colormap list for later.\n",
        "    cmaps[category] = cmap_list"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 219
        },
        "id": "fu3iawlgDE02",
        "outputId": "10fea224-ebb5-49ce-811c-53c229917cd4"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'np' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-3-fdb6b63195ca>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mcmaps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mgradient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m256\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mgradient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'np' is not defined"
          ]
        }
      ]
    }
  ]
}