Learn
Line Graphs in Matplotlib
Subplots Part II

Sometimes, when we’re putting multiple subplots together, some elements can overlap and make the figure unreadable: We can customize the spacing between our subplots to make sure that the figure we create is visible and easy to understand. To do this, we use the `plt.subplots_adjust()` command. `.subplots_adjust()` has some keyword arguments that can move your plots within the figure:

• `left` — the left-side margin, with a default of 0.125. You can increase this number to make room for a y-axis label
• `right` — the right-side margin, with a default of 0.9. You can increase this to make more room for the figure, or decrease it to make room for a legend
• `bottom` — the bottom margin, with a default of 0.1. You can increase this to make room for tick mark labels or an x-axis label
• `top` — the top margin, with a default of 0.9
• `wspace` — the horizontal space between adjacent subplots, with a default of 0.2
• `hspace` — the vertical space between adjacent subplots, with a default of 0.2

For example, if we were adding space to the bottom of a graph by changing the bottom margin to 0.2 (instead of the default of 0.1), we would use the command:

``plt.subplots_adjust(bottom=0.2)``

We can also use multiple keyword arguments, if we need to adjust multiple margins. For instance, we could adjust both the `top` and the `hspace`:

``plt.subplots_adjust(top=0.95, hspace=0.25)``

Let’s use `wspace` to fix the figure above:

``````# Left Plot
plt.subplot(1, 2, 1)
plt.plot([-2, -1, 0, 1, 2], [4, 1, 0, 1, 4])

# Right Plot
plt.subplot(1, 2, 2)
plt.plot([-2, -1, 0, 1, 2], [4, 1, 0, 1, 4])

plt.show()``````

This would give us figure with a better layout: ### Instructions

1.

We are going to create a figure that has two rows of subplots. It should have:

• one subplot in the top row
• two subplots in the bottom row Start by using the `subplot` method to instantiate the subplot in the top row (the box with the star in it).

2.

Plot `straight_line` vs `x` in this subplot you’ve selected.

3.

Now, use the `plt.subplot()` command to select the box in the first column of the second row (the one with a square in it). Plot `parabola` vs `x` in this box.

4.

Now, use the `plt.subplot()` command to select the box in the second column of the second row (the one with a triangle in it). Plot `cubic` vs `x` in this box.

5.

Increase the spacing between horizontal subplots to `0.35` and the bottom margin to `0.2`.