{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Contourf hatching\n\nDemo filled contour plots with hatched patterns.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# invent some numbers, turning the x and y arrays into simple\n# 2d arrays, which make combining them together easier.\nx = np.linspace(-3, 5, 150).reshape(1, -1)\ny = np.linspace(-3, 5, 120).reshape(-1, 1)\nz = np.cos(x) + np.sin(y)\n\n# we no longer need x and y to be 2 dimensional, so flatten them.\nx, y = x.flatten(), y.flatten()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot 1: the simplest hatched plot with a colorbar\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig1, ax1 = plt.subplots()\ncs = ax1.contourf(x, y, z, hatches=['-', '/', '\\\\', '//'],\n                  cmap='gray', extend='both', alpha=0.5)\nfig1.colorbar(cs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot 2: a plot of hatches without color with a legend\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig2, ax2 = plt.subplots()\nn_levels = 6\nax2.contour(x, y, z, n_levels, colors='black', linestyles='-')\ncs = ax2.contourf(x, y, z, n_levels, colors='none',\n                  hatches=['.', '/', '\\\\', None, '\\\\\\\\', '*'],\n                  extend='lower')\n\n# create a legend for the contour set\nartists, labels = cs.legend_elements(str_format='{:2.1f}'.format)\nax2.legend(artists, labels, handleheight=2, framealpha=1)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`\n   - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`\n   - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`\n   - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`\n   - `matplotlib.contour.ContourSet`\n   - `matplotlib.contour.ContourSet.legend_elements`\n\n"
      ]
    }
  ],
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      "display_name": "Python 3",
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      "file_extension": ".py",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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