src/matpltolib_histogram_bin_options.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `matplotlib` histogram bin options"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_size = 3000\n",
    "\n",
    "data = [\n",
    "    random.normalvariate(mu=0,sigma=1)\n",
    "    for _ in range(sample_size)\n",
    "]\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "grey_col = \"#3d3846\"  # GNOME dark 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Custom number of bins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14,16),\n",
    "    facecolor=\"white\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"`bins=12`\",\n",
    "    fontsize=35,\n",
    "    fontfamily=\"serif\",\n",
    "    weight=\"heavy\",\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "ax.hist(\n",
    "    data,\n",
    "    bins=12,\n",
    "    edgecolor=\"#26a269\",  # GNOME green 5\n",
    "    facecolor =\"#57e389\"  # GNOME green 2\n",
    ")\n",
    "\n",
    "# labels\n",
    "ax.set_xlabel (\n",
    "    \"variable\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "ax.set_ylabel(\n",
    "    \"count\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "# Update 'x' and 'y' axis tick labels size and colour\n",
    "ax.tick_params(\n",
    "    axis=\"both\",\n",
    "    labelsize=20,\n",
    "    color=grey_col,  # tick colour\n",
    "    labelcolor=grey_col\n",
    ")\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"top\", \"right\"]:\n",
    "    ax.spines[position].set_visible(False)\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"bottom\", \"left\"]:\n",
    "    ax.spines[position].set_color(grey_col)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot1.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Specific bins boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14,16),\n",
    "    facecolor=\"white\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"`bins=[-4.5, -3, -1.5, 0, 1.5, 3, 4.5]`\",\n",
    "    fontsize=35,\n",
    "    fontfamily=\"serif\",\n",
    "    weight=\"heavy\",\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "ax.hist(\n",
    "    data,\n",
    "    bins=[-4.5, -3, -1.5, 0, 1.5, 3, 4.5],\n",
    "    edgecolor=\"#c64600\",  # GNOME orange 5\n",
    "    facecolor =\"#ffa348\"  # GNOME orange 2\n",
    ")\n",
    "\n",
    "# labels\n",
    "ax.set_xlabel (\n",
    "    \"variable\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "ax.set_ylabel(\n",
    "    \"count\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "# Update 'x' and 'y' axis tick labels size and colour\n",
    "ax.tick_params(\n",
    "    axis=\"both\",\n",
    "    labelsize=20,\n",
    "    color=grey_col,  # tick colour\n",
    "    labelcolor=grey_col\n",
    ")\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"top\", \"right\"]:\n",
    "    ax.spines[position].set_visible(False)\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"bottom\", \"left\"]:\n",
    "    ax.spines[position].set_color(grey_col)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot2.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Variable bin widths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14,16),\n",
    "    facecolor=\"white\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"`bins=[-4.5, -2, -0.5, 0, 0.5, 2, 4.5]`\",\n",
    "    fontsize=35,\n",
    "    fontfamily=\"serif\",\n",
    "    weight=\"heavy\",\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "ax.hist(\n",
    "    data,\n",
    "    bins=[-4.5, -2, -0.5, 0, 0.5, 2, 4.5],\n",
    "    edgecolor=\"#613583\",  # GNOME purple 5\n",
    "    facecolor =\"#c061cb\"  # GNOME purple 2\n",
    ")\n",
    "\n",
    "# labels\n",
    "ax.set_xlabel (\n",
    "    \"variable\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "ax.set_ylabel(\n",
    "    \"count\",\n",
    "    fontsize=20,\n",
    "    color=grey_col\n",
    ")\n",
    "\n",
    "# Update 'x' and 'y' axis tick labels size and colour\n",
    "ax.tick_params(\n",
    "    axis=\"both\",\n",
    "    labelsize=20,\n",
    "    color=grey_col,  # tick colour\n",
    "    labelcolor=grey_col\n",
    ")\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"top\", \"right\"]:\n",
    "    ax.spines[position].set_visible(False)\n",
    "\n",
    "# Remove spines\n",
    "for position in [\"bottom\", \"left\"]:\n",
    "    ax.spines[position].set_color(grey_col)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot3.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.2"
  },
  "orig_nbformat": 4
 },
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 "nbformat_minor": 2
}