{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Matplotlib embedded in GUI\n\nThis examples shows how the ``matplotlib`` can be integrated\ninto a ``GUI`` based on the ``MatplotlibPlot`` Qt Designer plugin. \n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom itom import ui"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plots spines into the ``MatplotlibPlot`` Qt Designer plugin.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "def plotDroppedSpines():\n    \"\"\"\n    plot taken from matplotlib example 'spines_demo_dropped.py'\n    \"\"\"\n    canvas = gui.plot  # reference to matplotlibPlot widget\n\n    # if the same figure object in the matplotlib figure manager should\n    # be reused, since it is assigned to the pre-defined canvas in the ui\n    # file, you need to always set a unique number (can be arbitrary, but unique)\n    fig = plt.figure(num=3, canvas=canvas)\n\n    if len(fig.axes) == 0:\n        # create a new subplot in the figure\n        ax = fig.add_subplot(111)\n    else:\n        # reuse the existing first subplot\n        ax = fig.axes[0]\n        ax.clear()\n\n    image = np.random.uniform(size=(10, 10))\n    ax.imshow(image, cmap=plt.cm.gray, interpolation=\"nearest\")\n    ax.set_title(\"dropped spines\")\n\n    # Move left and bottom spines outward by 10 points\n    ax.spines[\"left\"].set_position((\"outward\", 10))\n    ax.spines[\"bottom\"].set_position((\"outward\", 10))\n    # Hide the right and top spines\n    ax.spines[\"right\"].set_visible(False)\n    ax.spines[\"top\"].set_visible(False)\n    # Only show ticks on the left and bottom spines\n    ax.yaxis.set_ticks_position(\"left\")\n    ax.xaxis.set_ticks_position(\"bottom\")\n\n    plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoMatplotlibGUI_1.png\" width=\"75%\">\n\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plots a sine curve into the ``MatplotlibPlot`` Qt Designer plugin.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "def plotSine():\n    \"\"\"\n    plots sine, taken from matplotlib gallery examples\n    \"\"\"\n    t = np.arange(0.0, 1.0, 0.01)\n    s = np.sin(2 * np.pi * t)\n\n    canvas = gui.plot  # reference to matplotlibPlot widget\n    fig = plt.figure(num=3, canvas=canvas)\n    \n    if len(fig.axes) == 0:\n        # create a new subplot in the figure\n        ax = fig.add_subplot(111)\n    else:\n        # reuse the existing first subplot\n        ax = fig.axes[0]\n        ax.clear()\n    \n    ax.plot(t, s)\n\n    plt.show()\n\n\ngui = ui(\"matplotlibGui.ui\", type=ui.TYPEWINDOW)\ngui.btnSine.connect(\"clicked()\", plotSine)\ngui.btnDroppedSpines.connect(\"clicked()\", plotDroppedSpines)\ngui.show()\n\n# if you call this script for the second time, the given figure-num (3)\n# is already in used for the lastly closed figure. Therefore also tell\n# matplotlib to close this figure handle.\nplt.close(3)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoMatplotlibGUI_2.png\" width=\"75%\">\n\n"
      ]
    }
  ],
  "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": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}