{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib ipympl\n",
    "import ipywidgets as widgets\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from mpl_interactions import interactive_hist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "limitations:\n",
    "\n",
    "    1. zorder may be funky (this is not calling ax.hist internally)\n",
    "    2. only vertical histograms\n",
    "    3. no stacked histograms\n",
    "    4. currently no labels are possible\n",
    "        - this one may actually be worth fixing\n",
    "    5. only allows stretching the axis limits - no auto scaling\n",
    "    7. the axis relimming is a bit hacky, may not be exactly equivalent to what you'd get by call plt.hist\n",
    "    \n",
    "There are some limitations to the current approach that could be worked around. But that would require a high amount of effort and all of these limitations should be solved by [matplotlib/matplotlib#18275](https://github.com/matplotlib/matplotlib/pull/18275), which be released with [matplotlib version 3.4](https://github.com/matplotlib/matplotlib/releases/tag/v3.4.0).\n",
    "\n",
    "\n",
    "This accepts the following arguments that are passed through to {func}`numpy.histogram`. Here they are with their default values:\n",
    "- `density=False`\n",
    "- `bins=\"auto\"`\n",
    "- `weight=None`\n",
    "\n",
    "`f` must have a `return ` statement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(loc, scale):\n",
    "    return np.random.randn(10000) * scale + loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "controls = interactive_hist(f, loc=(0, 10, 100), scale=(0.5, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig2, ax2 = plt.subplots()\n",
    "controls2 = interactive_hist(f, loc=(0, 10, 100), scale=(0.5, 5), bins=100, density=True)"
   ]
  }
 ],
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