{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imshow\n",
    "\n",
    "`imshow` is great for seeing how a 2D function will respond to parameters, or for tasks like thresholding an image. If you want to look at a slices of a precomputed array you should consider using [hyperslicer](hyperslicer.ipynb) which was created for exactly that purpose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib ipympl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from mpl_interactions import ipyplot as iplt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, np.pi, 200)\n",
    "y = np.linspace(0, 10, 200)\n",
    "X, Y = np.meshgrid(x, y)\n",
    "\n",
    "\n",
    "def f(param1, param2):\n",
    "    return np.sin(X) * param2 + np.exp(np.cos(Y * param1)) + param2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "gif": "imshow-basic.apng"
   },
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "controls = iplt.imshow(f, param1=(-5, 5), param2=(-3, 12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Providing an axis\n",
    "\n",
    "You can also embed the interactive plot into an existing figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "gif": "imshow-subplots.apng"
   },
   "outputs": [],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))\n",
    "\n",
    "ax1.plot(np.sin(np.linspace(0, np.pi)))\n",
    "controls2 = iplt.imshow(f, param1=(-5, 5), param2=(-3, 12), ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preventing colormap autoscaling\n",
    "\n",
    "The if you do not specify vmin/vmax and your function does not return an RGB(A) image then the default behavior is to rescale the colormap for each parameter change. This can disabled using this `autoscale_cmap` argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "gif": "imshow-no-cmap-auto.apng"
   },
   "outputs": [],
   "source": [
    "fig3, ax3 = plt.subplots()\n",
    "controls3 = iplt.imshow(f, param1=(-5, 5), param2=(-3, 12), autoscale_cmap=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### vmin and vmax: thresholding an image\n",
    "\n",
    "You can also pass `vmin` and `vmax` as functions. Additionally you do not need to use a function to provide the image, you can also provide an array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "gif": "imshow-threshold.apng"
   },
   "outputs": [],
   "source": [
    "img = plt.imread(\"https://matplotlib.org/3.3.1/_images/stinkbug.png\")\n",
    "\n",
    "\n",
    "def vmin(min_, max_):\n",
    "    return min(min_, max_)\n",
    "\n",
    "\n",
    "def vmax(min_, max_):\n",
    "    return max(min_, max_)\n",
    "\n",
    "\n",
    "fig4, ax4 = plt.subplots()\n",
    "controls4 = iplt.imshow(img, vmin=vmin, vmax=vmax, min_=(0, 0.7), max_=(0.3, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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