20230102C.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "plt.bar(x=x_values1, height=y_values1, align='edge', width=(x_values1[1]-x_values1[0]), facecolor='#E5E7E9')\n",
    "plt.show()\n",
    "\n",
    "# This is equivalent to the hist() function of pyplot, e.g.:\n",
    "# plt.hist(data1, bins=NUM_BINS, density=False)\n",
    "# plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "newenv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 06:57:50) [MSC v.1929 64 bit (AMD64)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "65e74bcb0609f7f067e47051b00bfa25ce7004419ec87f30c427e7be065571b6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}