{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### non ipympl backends\n",
    "\n",
    "every function in this library should work with any interactive matplotlib backend. Although the functions from `mpl_interactions.jupyter` assume that you are in a notebook context in order to display the sliders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NBVAL_SKIP\n",
    "%matplotlib qt5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_interactions import interactive_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The below cell will display the sliders in the notebook but a separate matplotlib window will pop up. An important caveat is that the performance of `interactive_plot` seems to be significantly worse with a non-ipympl backend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, np.pi, 100)\n",
    "τ = np.linspace(1, 10, 100)\n",
    "β = np.linspace(1, 10, 100)\n",
    "\n",
    "\n",
    "def f(x, τ, β):\n",
    "    return np.sin(x * τ) * x ** β\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "controls = interactive_plot(x, f, τ=τ, β=β)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### generic submodule\n",
    "\n",
    "`mpl_interactions.generic` contains functions that will work in any matplotlib context. So for example the below code will work in the notebook or from a script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_interactions.generic import heatmap_slicer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, np.pi, 100)\n",
    "y = np.linspace(0, 10, 200)\n",
    "X, Y = np.meshgrid(x, y)\n",
    "data1 = np.sin(X) + np.exp(np.cos(Y))\n",
    "data2 = np.cos(X) + np.exp(np.sin(Y))\n",
    "fig, axes = heatmap_slicer(\n",
    "    x,\n",
    "    y,\n",
    "    (data1, data2),\n",
    "    slices=\"both\",\n",
    "    heatmap_names=(\"dataset 1\", \"dataset 2\"),\n",
    "    labels=(\"Some wild X variable\", \"Y axis\"),\n",
    "    interaction_type=\"move\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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