starcore-explorer-bad/content/pyodide/matplotlib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, 10, 1000)\n",
    "plt.plot(x, np.sin(x));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<pyolite.display.Image object at 0x254e300>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Matplotlib: support for widgets backend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install -q ipympl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, 10, 1000)\n",
    "plt.plot(x, np.sin(x))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (Pyodide)",
   "language": "python",
   "name": "python"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "python",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8"
  },
  "orig_nbformat": 4,
  "toc-showcode": false
 },
 "nbformat": 4,
 "nbformat_minor": 4
}