{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Histogram 2D size control\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nx = np.random.randn(1000)\ny = np.random.randn(1000) + 5\n\nplt.figure()\n# normal distribution center at x=0 and y=5\nplt.hist2d(x, y, bins=40)\nplt.show()\n\n# get current figure\ncurrent_figure = plt.gcf()\n\n# set the keepSizeFixed property of the plot to true:\n# current_figure.canvas.manager.itomUI[\"keepSizeFixed\"] = True\n# alternative:\n# plt.get_current_fig_manager().itomUI[\"keepSizeFixed\"]\n\n# change the size\ncurrent_figure.set_dpi(120)\ncurrent_figure.set_size_inches(5, 5, forward=True)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
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      "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"
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