src/matplotlib_axis_ticks_and_ticklabels_tweak.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tweak `matplotlib` axis ticks and tick labels"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Default plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(9, 6),\n",
    "    facecolor=\"#ffbe6f\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Default plot 1\",\n",
    "    fontsize=16\n",
    ")\n",
    "\n",
    "ax.plot(\n",
    "    [0.20, 0.60, 0.40, 0.90, 0.30, 0.50],\n",
    "    color=\"black\",\n",
    "    marker=\"o\"\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot1.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tweaked plot 1\n",
    "\n",
    "* Add *axis limits*\n",
    "* use slicing to remove **1st** and **last** tick\n",
    "* use **`f-strings`** to format the values the way you want"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(9, 6),\n",
    "    facecolor=\"#8ff0a4\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Tweaked plot 1\",\n",
    "    fontsize=16\n",
    ")\n",
    "\n",
    "ax.plot(\n",
    "    [0.20, 0.60, 0.40, 0.80, 0.30, 0.50],\n",
    "    color=\"black\",\n",
    "    marker=\"o\"\n",
    ")\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim(\n",
    "    [-1, 6]\n",
    ")\n",
    "ax.set_ylim(\n",
    "    [0, 1.25]\n",
    ")\n",
    "\n",
    "# Specify `x` and `y` axis values\n",
    "y_vals = [0, 0.25, 0.50, 0.75, 1.00, 1.25]\n",
    "x_vals = [-1, 0, 1, 2, 3, 4, 5, 6]\n",
    "\n",
    "# Set ticks and tick labels\n",
    "ax.set_yticks(\n",
    "    y_vals[1:-1]\n",
    ")\n",
    "ax.set_yticklabels(\n",
    "    [f\"{y:.2f}\" for y in y_vals[1:-1]]\n",
    ")\n",
    "ax.set_xticks(\n",
    "    x_vals[1:-1]\n",
    ")\n",
    "# Use `f-strings` to tweak the appearance of the date\n",
    "ax.set_xticklabels(\n",
    "    [f\"{x:d}\" for x in x_vals[1:-1]]\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot2.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** there are multiple ways to create values for `x_vals` and `y_vals`:\n",
    "\n",
    "* `range()` - [doc](https://docs.python.org/3/library/stdtypes.html#range)\n",
    "* `np.arange()` - [doc](https://numpy.org/doc/stable/reference/generated/numpy.arange.html)\n",
    "* `np.linspace()` - [doc](https://numpy.org/doc/stable/reference/generated/numpy.linspace.html)\n",
    "* `pd.date_range()` - [doc](https://pandas.pydata.org/docs/reference/api/pandas.date_range.html)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tweaked plot 2 - \"x\" as date\n",
    "\n",
    "* use `f-strings` to format the values the way you want"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Default date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(9, 6),\n",
    "    facecolor=\"#ffbe6f\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Default plot 2\",\n",
    "    fontsize=16\n",
    ")\n",
    "\n",
    "# define dates for x values\n",
    "x_vals = pd.date_range(\n",
    "    start=\"1/4/2023\",\n",
    "    periods=len(y_vals)\n",
    ")\n",
    "\n",
    "ax.plot(\n",
    "    x_vals,\n",
    "    [0.20, 0.60, 0.40, 0.80, 0.30, 0.50],\n",
    "    color=\"black\",\n",
    "    marker=\"o\"\n",
    ")\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_ylim(\n",
    "    [0, 1.25]\n",
    ")\n",
    "\n",
    "# Specify `x` and `y` axis values\n",
    "y_vals = [0, 0.25, 0.50, 0.75, 1.00, 1.25]\n",
    "\n",
    "# Set ticks and tick labels\n",
    "ax.set_yticks(\n",
    "    y_vals[1:-1]\n",
    ")\n",
    "# Use `f-strings` to tweak the appearance of the x values\n",
    "ax.set_yticklabels(\n",
    "    [f\"{y:.2f}\" for y in y_vals[1:-1]]\n",
    ")\n",
    "ax.set_xticks(\n",
    "    x_vals\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot3.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tweaked date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(9, 6),\n",
    "    facecolor=\"#8ff0a4\"\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Tweaked plot 2\",\n",
    "    fontsize=16\n",
    ")\n",
    "\n",
    "# define dates for x values\n",
    "x_vals = pd.date_range(\n",
    "    start=\"1/4/2023\",\n",
    "    periods=len(y_vals)\n",
    ")\n",
    "\n",
    "ax.plot(\n",
    "    x_vals,\n",
    "    [0.20, 0.60, 0.40, 0.80, 0.30, 0.50],\n",
    "    color=\"black\",\n",
    "    marker=\"o\"\n",
    ")\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_ylim(\n",
    "    [0, 1.25]\n",
    ")\n",
    "\n",
    "# Specify `x` and `y` axis values\n",
    "y_vals = [0, 0.25, 0.50, 0.75, 1.00, 1.25]\n",
    "\n",
    "# Set ticks and tick labels\n",
    "ax.set_yticks(\n",
    "    y_vals[1:-1]\n",
    ")\n",
    "# Use `f-strings` to tweak the appearance of the y values\n",
    "ax.set_yticklabels(\n",
    "    [f\"{y:.2e}\" for y in y_vals[1:-1]]\n",
    ")\n",
    "ax.set_xticks(\n",
    "    x_vals\n",
    ")\n",
    "# Use `f-strings` to tweak the appearance of the x values (dates)\n",
    "ax.set_xticklabels(\n",
    "    [f\"{x:%A}\" for x in x_vals]\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\n",
    "    fname=\"plot4.png\",\n",
    "    format=\"png\",\n",
    "    dpi=125\n",
    ");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final notes\n",
    "\n",
    "If you want to learn more about the `Python f-strings`, check out my Medium article:\n",
    "\n",
    "[Python f-string codes I use every day](https://medium.com/geekculture/python-f-string-codes-i-use-every-day-e03558f12057)"
   ]
  }
 ],
 "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
 },
 "nbformat": 4,
 "nbformat_minor": 2
}