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An Inquiry into Matplotlib's Figures, Axes, subplots and the very amazing GridSpec!
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Preliminaries"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%config Completer.use_jedi = False\n",
"# Speed up tab autocompletion\n",
"\n",
"%reload_ext autoreload\n",
"%autoreload 2\n",
"%matplotlib inline\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> An interactive version of this guide can be accessed on [Google Colab](https://colab.research.google.com/drive/1SOgWPI9HckTQ0zm47Ma-gYCTucMccTxg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A word before we get started...\n",
"---\n",
"Although a beginner can follow along with this guide, it is primarily meant for people who have at least a basic knowledge of how Matplotlib's plotting functionality works.\n",
"\n",
"Essentially, if you know how to take 2 `numpy` arrays and plot them (using an appropriate type of graph) on 2 different axes in a single figure and give it basic styling, you're good to go for the purposes of this guide.\n",
"\n",
"If you feel you need some introduction to basic matplotlib plotting, here's a great guide that can help you get a feel for introductory plotting using Matplotlib : https://matplotlib.org/devdocs/gallery/subplots_axes_and_figures/subplots_demo.html\n",
"\n",
"From here on, I will be assuming that you have gained sufficient knowledge to follow along this guide.\n",
"\n",
"Also, in order to save everyone's time, I will keep my explanations short, terse and very much to the point, and sometimes leave it for the reader to interpret things (because that's what I've done throughtout this guide for myself anyway).\n",
"\n",
"The primary driver in this whole exercise will be code and not text, and I encourage you to spin up a Jupyter notebook and type in and try out everything yourself to make the best use of this resource."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## What this guide *is* and what it is *not*:\n",
"This is not a guide about how to beautifully plot different kinds of data using matplotlib, the internet is more than full of such tutorials by people who can explain it way better than I can. \n",
"\n",
"This article attempts to explain the workings of some of the foundations of any plot you create using matplotlib.\n",
"We will mostly refrain from focusing on what data we are plotting and instead focus on the anatomy of our plots."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Setting up"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Matplotlib has many styles available, we can see the available options using:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['seaborn-dark',\n",
" 'seaborn-darkgrid',\n",
" 'seaborn-ticks',\n",
" 'fivethirtyeight',\n",
" 'seaborn-whitegrid',\n",
" 'classic',\n",
" '_classic_test',\n",
" 'fast',\n",
" 'seaborn-talk',\n",
" 'seaborn-dark-palette',\n",
" 'seaborn-bright',\n",
" 'seaborn-pastel',\n",
" 'grayscale',\n",
" 'seaborn-notebook',\n",
" 'ggplot',\n",
" 'seaborn-colorblind',\n",
" 'seaborn-muted',\n",
" 'seaborn',\n",
" 'Solarize_Light2',\n",
" 'seaborn-paper',\n",
" 'bmh',\n",
" 'tableau-colorblind10',\n",
" 'seaborn-white',\n",
" 'dark_background',\n",
" 'seaborn-poster',\n",
" 'seaborn-deep']"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.style.available"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We shall use `seaborn`. This is done like so:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"plt.style.use('seaborn')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's get started!"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# Creating some fake data for plotting\n",
"xs = np.linspace(0, 2 * np.pi, 400)\n",
"ys = np.sin(xs ** 2)\n",
"\n",
"xc = np.linspace(0, 2 * np.pi, 600)\n",
"yc = np.cos(xc ** 2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exploration"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The usual way to create a plot using matplotlib goes somewhat like this:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(2, 2, figsize=(16, 8))\n",
"# `Fig` is short for Figure. `ax` is short for Axes.\n",
"ax[0, 0].plot(xs, ys)\n",
"ax[1, 1].plot(xs, ys)\n",
"ax[0, 1].plot(xc, yc)\n",
"ax[1, 0].plot(xc, yc)\n",
"fig.suptitle(\"Basic plotting using Matplotlib\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Our goal today is to take apart the previous snippet of code and understand all of the underlying building blocks well enough so that we can use them separately and in a much more powerful way.\n",
"\n",
"If you're a beginner like I was before writing this guide, let me assure you: this is all very simple stuff."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Going into [`plt.subplots`](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html?highlight=subplots#matplotlib.pyplot.subplots) documentation (hit `Shift+Tab+Tab` in a Jupyter notebook) reveals some of the other matplotlib internals that it uses in order to give us the `Figure` and it's `Axes`. \n",
"\n",
"These include :<br>\n",
"1. `plt.subplot`\n",
"3. `plt.figure`\n",
"3. `mpl.figure.Figure`\n",
"4. `mpl.figure.Figure.add_subplot`\n",
"5. `mpl.gridspec.GridSpec`\n",
"6. `mpl.axes.Axes`\n",
"\n",
"Let's try and figure out what these functions / classes do."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# What is a `Figure`? And what are `Axes`?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A [`Figure`](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.figure.html?highlight=figure#matplotlib.pyplot.figure) in matplotlib is simply your main (imaginary) canvas. This is where you will be doing all your plotting / drawing / putting images and what not. This is the central object with which you will always be interacting. A figure has a size defined for it at the time of creation.\n",
"\n",
"You can define a figure like so (both statements are equivalent):\n",
"```python\n",
"fig = mpl.figure.Figure(figsize=(10,10))\n",
"# OR\n",
"fig = plt.figure(figsize=(10,10))\n",
"```\n",
"\n",
"Notice the word *imaginary* above. What this means is that a Figure by itself does not have any place for you to plot. You need to attach/add an [`Axes`](https://matplotlib.org/api/axes_api.html?highlight=matplotlib.axes.axes#matplotlib.axes.Axes) to it to do any kind of plotting. You can put as many `Axes` objects as you want inside of any `Figure` you have created.\n",
"\n",
"An `Axes`:\n",
"1. Has a space (like a blank Page) where you can draw/plot data.\n",
"2. A parent `Figure`\n",
"3. Has properties stating where it will be placed inside it's parent `Figure`.\n",
"4. Has methods to draw/plot different kinds of data in different ways and add custom styles.\n",
"\n",
"You can create an `Axes` like so (both statements are equivalent):\n",
"```python\n",
"ax1 = mpl.axes.Axes(fig=fig, rect=[0,0,0.8,0.8], facecolor='red')\n",
"#OR\n",
"ax1 = plt.Axes(fig=fig, rect=[0,0,0.8,0.8], facecolor='red')\n",
"#\n",
"```\n",
"The first parameter `fig` is simply a pointer to the parent `Figure` to which an Axes will belong.<br>\n",
"The second parameter `rect` has four numbers : `[left_position, bottom_position, height, width]` to define the position of the `Axes` inside the `Figure` and the height and width *with respect to the `Figure`*. All these numbers are expressed in percentages.\n",
"\n",
"A `Figure` simply holds a given number of `Axes` at any point of time\n",
"\n",
"We will go into some of these design decisions in a few moments'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Recreating `plt.subplots` with basic matplotlib functionality\n",
"We will try and recreate the below plot using Matplotlib primitives as a way to understand them better. We'll try and be a slightly creative by deviating a bit though."
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0.98, '2x2 Grid')"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x396 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(2,2)\n",
"fig.suptitle(\"2x2 Grid\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Let's create our first plot using matplotlib primitives:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"# We first need a figure, an imaginary canvas to put things on\n",
"fig = plt.Figure(figsize=(6,6))\n",
"# Let's start with two Axes with an arbitrary position and size\n",
"ax1 = plt.Axes(fig=fig, rect=[0.3, 0.3, 0.4, 0.4], facecolor='red')\n",
"ax2 = plt.Axes(fig=fig, rect=[0, 0, 1, 1], facecolor='blue')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now you need to add the `Axes` to `fig`. You should stop right here and think about why would there be a need to do this when `fig` is already a parent of `ax1` and `ax2`? Let's do this anyway and we'll go into the details afterwards."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._axes.Axes at 0x1211dead0>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig.add_axes(ax2)\n",
"fig.add_axes(ax1)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x432 with 2 Axes>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# As you can see the Axes are exactly where we specified.\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"That means you can do this now:\n",
"> Remark: Notice the `ax.reverse()` call in the snippet below. If I hadn't done that, the biggest plot would be placed in the end on top of every other plot and you would just see a single, blank 'cyan' colored plot."
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x432 with 50 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(6,6))\n",
"ax = []\n",
"sizes = np.linspace(0.02, 1, 50)\n",
"for i in range(50):\n",
" color = str(hex(int(sizes[i] * 255)))[2:]\n",
" if len(color) == 1: color = '0' + color\n",
" color = '#99' + 2 * color\n",
" ax.append(plt.Axes(fig=fig, rect=[0,0, sizes[i], sizes[i]], facecolor=color))\n",
"\n",
"ax.reverse()\n",
"for axes in ax:\n",
" fig.add_axes(axes)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The above example demonstrates why it is important to decouple the process of creation of an `Axes` and actually putting it onto a `Figure`.\n",
"\n",
"Also, you can remove an `Axes` from the canvas area of a `Figure` like so:\n",
"```python\n",
"fig.delaxes(ax)\n",
"```\n",
"This can be useful when you want to compare the same primary data (GDP) to several secondary data sources (education, spending, etc.) one by one (you'll need to add and delete each graph from the Figure in succession)<br>\n",
"I also encourage you to look into the documentation for `Figure` and `Axes` and glance over the several methods available to them. This will help you know what parts of the wheel you do not need to rebuild when you're working with these objects the next time."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Recreating our subplots literally from scratch\n",
"This should now make sense. We can now create our original `plt.subplots(2, 2)` example using the knowledge we have thus gained so far.<br>\n",
"(Although, this is definitely not the most convenient way to do this)"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x396 with 4 Axes>"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig = mpl.figure.Figure(); fig\n",
"\n",
"fig.suptitle(\"Recreating plt.subplots(2, 2)\")\n",
"\n",
"ax1 = mpl.axes.Axes(fig=fig, rect=[0,0,0.42,0.42])\n",
"ax2 = mpl.axes.Axes(fig=fig, rect=[0, 0.5, 0.42, 0.42])\n",
"ax3 = mpl.axes.Axes(fig=fig, rect=[0.5,0,0.42,0.42])\n",
"ax4 = mpl.axes.Axes(fig=fig, rect=[0.5, 0.5, 0.42, 0.42])\n",
"\n",
"fig.add_axes(ax1)\n",
"fig.add_axes(ax2)\n",
"fig.add_axes(ax3)\n",
"fig.add_axes(ax4)\n",
"\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using gridspec.GridSpec\n",
"Docs : https://matplotlib.org/api/_as_gen/matplotlib.gridspec.GridSpec.html#matplotlib.gridspec.GridSpec\n",
"\n",
"`GridSpec` objects allow us more intuitive control over how our plot is exactly divided into subplots and what the size of each `Axes` is.<br>\n",
"You can essentially decide a **Grid** which all your `Axes` will conform to when laying themselves over.<br>\n",
"Once you define a grid, or `GridSpec` so to say, you can use that object to *generate* new `Axes` conforming to the grid which you can then add to your `Figure`\n",
"\n",
"Lets see how all of this works in code:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can define a `GridSpec` object like so (both statements are equivalent):\n",
"```python\n",
"gs = mpl.gridspec.GridSpec(nrows, ncols, width_ratios, height_ratios)\n",
"# OR\n",
"gs = plt.GridSpec(nrows, ncols, width_ratios, height_ratios)\n",
"```\n",
"More specifically:\n",
"```python\n",
"gs = plt.GridSpec(nrows=3, ncols=3, width_ratios=[1,2,3], height_ratios[3,2,1])\n",
"```\n",
"`nrows` and `ncols` are pretty self explanatory. `width_ratios` determines the relative width of each column. `height_ratios` follows along the same lines.\n",
"The whole `grid` will always distribute itself using all the space available to it inside of a figure (things change up a bit when you have multiple `GridSpec` objects for a single figure, but that's for you to explore!). And inside of a `grid`, all the Axes will conform to the sizes and ratios defined already"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [],
"source": [
"def annotate_axes(fig):\n",
" \"\"\"Taken from https://matplotlib.org/gallery/userdemo/demo_gridspec03.html#sphx-glr-gallery-userdemo-demo-gridspec03-py\n",
" takes a figure and puts an 'axN' label in the center of each Axes\n",
" \"\"\"\n",
" for i, ax in enumerate(fig.axes):\n",
" ax.text(0.5, 0.5, \"ax%d\" % (i+1), va=\"center\", ha=\"center\")\n",
" ax.tick_params(labelbottom=False, labelleft=False)"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 576x396 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"\n",
"# We will try and vary axis sizes here just to see what happens\n",
"gs = mpl.gridspec.GridSpec(nrows=2, ncols=2, width_ratios=[1, 2], height_ratios=[4, 1])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can pass `GridSpec` objects to a `Figure` to create subplots in your desired sizes and proportions like so :<br>\n",
"Notice how the sizes of the `Axes` relates to the ratios we defined when creating the Grid."
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 576x396 with 4 Axes>"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig.clear()\n",
"ax1, ax2, ax3, ax4 = [fig.add_subplot(gs[0]),\n",
" fig.add_subplot(gs[1]),\n",
" fig.add_subplot(gs[2]),\n",
" fig.add_subplot(gs[3])]\n",
"\n",
"annotate_axes(fig)\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Doing the same thing in a simpler way"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [],
"source": [
"def add_gs_to_fig(fig, gs): \n",
" \"Adds all `SubplotSpec`s in `gs` to `fig`\"\n",
" for g in gs: fig.add_subplot(g)"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 576x396 with 4 Axes>"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig.clear()\n",
"add_gs_to_fig(fig, gs)\n",
"annotate_axes(fig)\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"That means you can now do this:<br>\n",
"(Notice how the `Axes` sizes increase from top-left to bottom-right)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x720 with 36 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(14,10))\n",
"length = 6\n",
"gs = plt.GridSpec(nrows=length, ncols=length, \n",
" width_ratios=list(range(1, length+1)), height_ratios=list(range(1, length+1)))\n",
"\n",
"add_gs_to_fig(fig, gs)\n",
"annotate_axes(fig)\n",
"for ax in fig.axes:\n",
" ax.plot(xs, ys)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## A very unexpected observation: (which gives us yet more clarity, and Power)\n",
"Notice how after each print operation, different addresses get printed for each `gs` object."
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(<matplotlib.gridspec.SubplotSpec at 0x1282a9e50>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x12942add0>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x12942a750>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x12a727e10>)"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gs[0], gs[1], gs[2], gs[3]"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(<matplotlib.gridspec.SubplotSpec at 0x127d5c6d0>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x12b6d0b10>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x129fc6390>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x129fc6a50>)"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gs[0], gs[1], gs[2], gs[3]"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<matplotlib.gridspec.SubplotSpec object at 0x12951a610> <matplotlib.gridspec.SubplotSpec object at 0x12951a890> <matplotlib.gridspec.SubplotSpec object at 0x12951ac10> <matplotlib.gridspec.SubplotSpec object at 0x12951a150>\n"
]
}
],
"source": [
"print(gs[0,0], gs[0,1], gs[1, 0], gs[1, 1])"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<matplotlib.gridspec.SubplotSpec object at 0x128fad4d0> <matplotlib.gridspec.SubplotSpec object at 0x1291ebbd0> <matplotlib.gridspec.SubplotSpec object at 0x1294f9850> <matplotlib.gridspec.SubplotSpec object at 0x128106250>\n"
]
}
],
"source": [
"print(gs[0,0], gs[0,1], gs[1, 0], gs[1, 1])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Lets understand why this happens:**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Notice how a group of `gs` objects indexed into at the same time also produces just one object instead of multiple objects*"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(<matplotlib.gridspec.SubplotSpec at 0x128116e50>,\n",
" <matplotlib.gridspec.SubplotSpec at 0x128299290>)"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gs[:,:], gs[:, 0]\n",
"# both output just one object each"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [],
"source": [
"# Lets try another `gs` object, this time a little more crowded\n",
"# I chose the ratios randomly\n",
"gs = mpl.gridspec.GridSpec(nrows=3, ncols=3, width_ratios=[1, 2, 1], height_ratios=[4, 1, 3])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*All these operations print just one object. What is going on here?*"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<matplotlib.gridspec.SubplotSpec object at 0x12a075fd0>\n",
"<matplotlib.gridspec.SubplotSpec object at 0x128cf0990>\n",
"<matplotlib.gridspec.SubplotSpec object at 0x12a075fd0>\n"
]
}
],
"source": [
"print(gs[:,0])\n",
"print(gs[1:,:2])\n",
"print(gs[:,:])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's try and add subplots to our `Figure` to `see` what's going on.<br>\n",
"We'll do a few different permutations to get an exact idea."
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 360x360 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(5,5))\n",
"ax1 = fig.add_subplot(gs[:2, 0])\n",
"ax2 = fig.add_subplot(gs[2, 0])\n",
"ax3 = fig.add_subplot(gs[:, 1:])\n",
"annotate_axes(fig)"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(5,5))\n",
"# ax1 = fig.add_subplot(gs[:2, 0])\n",
"ax2 = fig.add_subplot(gs[2, 0])\n",
"ax3 = fig.add_subplot(gs[:, 1:])\n",
"annotate_axes(fig)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(5,5))\n",
"# ax1 = fig.add_subplot(gs[:2, 0])\n",
"# ax2 = fig.add_subplot(gs[2, 0])\n",
"ax3 = fig.add_subplot(gs[:, 1:])\n",
"annotate_axes(fig)"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(5,5))\n",
"# ax1 = fig.add_subplot(gs[:2, 0])\n",
"# ax2 = fig.add_subplot(gs[2, 0])\n",
"ax3 = fig.add_subplot(gs[:, 1:])\n",
"\n",
"# Notice the line below : You can overlay Axes using `GridSpec` too\n",
"ax4 = fig.add_subplot(gs[2:, 1:])\n",
"ax4.set_facecolor('orange')\n",
"annotate_axes(fig)"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 360x360 with 9 Axes>"
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig.clear()\n",
"add_gs_to_fig(fig, gs)\n",
"annotate_axes(fig)\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here's a bullet point summary of what this means:\n",
"1. `gs` can be used as a sort of a `factory` for different kinds of `Axes`. \n",
"2. You give this `factory` an order by indexing into particular areas of the `Grid`. It gives back a single `SubplotSpec` (check `type(gs[0]`) object that helps you create an `Axes` which has all of the area you indexed into combined into one unit.\n",
"3. Your `height` and `width` ratios for the indexed portion will determine the size of the `Axes` that gets generated.\n",
"4. `Axes` will maintain relative proportions according to your `height` and `width` ratios always.\n",
"5. For all these reasons, I like `GridSpec`!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This ability to create different grid variations that `GridSpec` provides is probably the reason for that anomaly we saw a while ago (printing different Addresses).\n",
"\n",
"It creates new objects everytime you index into it because it will be very troublesome to store all permutations of `SubplotSpec` objects into one group in memory (try and count permutations for a `GridSpec` of 10x10 and you'll know why)\n",
"\n",
"---\n",
"## Now let's finally create `plt.subplots(2,2)` once again using GridSpec"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"yayy\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x396 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"gs = mpl.gridspec.GridSpec(nrows=2, ncols=2)\n",
"add_gs_to_fig(fig, gs)\n",
"annotate_axes(fig)\n",
"fig.suptitle(\"We're done!\")\n",
"print(\"yayy\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# What you should try:\n",
"---\n",
"Here's a few things I think you should go ahead and explore:\n",
"1. Multiple `GridSpec` objects for the Same Figure.\n",
"2. Deleting and adding `Axes` effectively and meaningfully.\n",
"3. All the methods available for `mpl.figure.Figure` and `mpl.axes.Axes` allowing us to manipulate their properties.\n",
"4. Kaggle Learn's Data vizualization course is a great place to learn effective plotting using Python\n",
"5. Armed with knowledge, you will be able to use other plotting libraries such as `seaborn`, `plotly`, `pandas` and `altair` with much more flexibility (you can pass an `Axes` object to all their plotting functions). I encourage you to explore these libraries too."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A few unrelated (maybe) words ..."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is the first time I've written any technical guide for the internet, it may not be as clean as tutorials generalyl are. But, I'm open to all the constructive criticism that you may have for me (drop it all in the comments!)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And ...\n",
"\n",
"I read a tweet by someone cursing matplotlib (for its APIs) a while ago and decided to finally understand what the hell is going on with these figures and axes and subplots and what not inside of this library. So I sat by myself and wrote the only thing I ever write when using matplotlib : `fig, ax = plt.subplots(a, b)` and made a commitment to get to the depth of what's going on under the hood here.\n",
"So I opened up the documentation for this function, made a list of all the other important seeming parts of the library that were mentioned here and went into the official docs for each, while also still tinkering with some other parts and functionalities that were not explicitly mentioned in the official docs.\n",
"The result of this exercise is: \n",
"1. This notebook\n",
"2. Me (and hopefully, anyone reading this) having a much more fundamental understanding of the most important components of a very important python visualization library\n",
"\n",
"This makes me reflect on how sometimes it is very important to take a few hours off from your day and just dive deeply into something with an intention to completely take apart as many things and abstractions as you can. In the end you come out feeling much more powerful and capable than what you were when you decided to dive deep.\n",
"\n",
"Anyways, hope you learned something from this notebook.\n",
"\n",
"To best absorb the contents of this notebook, I would recommend that you try and replicate each part of the notebook without looking at it again (barring a few sneak-peeks maybe)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.7.4"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
},
"varInspector": {
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"delete_cmd_postfix": "",
"delete_cmd_prefix": "del ",
"library": "var_list.py",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"delete_cmd_postfix": ") ",
"delete_cmd_prefix": "rm(",
"library": "var_list.r",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
],
"window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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