WEBVTT

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- [Instructor] Occasionally,

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it is useful to compare different views of data

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side by side.

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This is where subplots come into play.

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Subplots are group of small axis

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that can stand together between a single figure.

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They can be in sets, grids or plots

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or some other complicated layout.

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Let's explore two ways to achieve that with functions.

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Subplot function that creates only a single subplot

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between a grid and subplots function that creates

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a full grid of subplots at once.

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Let's start with learning the subplot function.

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We have already imported "numpy as np"

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and matplotlib dot pyplot as PLT.

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We are going to define figure

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by typing fig equals PLT dot figure

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and X equals N P

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dot arange three

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and Y equals two multiplied with X.

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In order to create four subplots

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we are going to use the subplot function.

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It takes these arguments, number of rows, number of columns

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and the third argument is the index of the plot

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we're referring to.

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For the first subplot,

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we are going to have two rows,

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two columns and the plot number one.

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Next, we are going to call the plot function

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and past three arguments, X, Y

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and last we will specify plot color B.

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That stands for blue.

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We are just going to copy paste their code three times

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and change the plot number inside subplot function

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and pass different arguments in plot function.

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Now type PLT dot show.

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Go ahead and run this.

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Great!

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As you can see, we have four different subplots.

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This way of creating subplots can become tedious.

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In cases, we are creating a large grid of subplots.

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The way to do this elegantly is with the subplots function.

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We can create all four subplots with just one line of code

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by typing

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Fig comma

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access

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equals PLT dot subplots.

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Two, two fig size equals

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double six, six.

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Now notice here we still have to copy plot function

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four times in order to plot our four graphs.

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Let's run our code.

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You should see the output plots.