# Subplots and axes in matplotlib

# Subplots and axes in matplotlib#

We often want to do several plots or images on the same figure.

We can do this with the matplotlib `subplots`

command.

The standard input arguments to `subplots`

are the number of rows and the
number of columns you want in your grid of axes. For example, if you want two
plots underneath each other you would call `subplots(2, 1)`

for two rows and
one column.

`subplots`

returns a `figure`

object, that is an object representing the
figure containing the axes. It also returns a list of `axes`

. The axes are
objects representing the axes on which we can plot. The axis objects have
methods like `plot`

and `imshow`

that allow us to plot on the given axes:

```
import numpy as np
import matplotlib.pyplot as plt
```

```
x = np.arange(0, np.pi * 2, 0.1)
fig, axes = plt.subplots(2, 1)
axes[0].plot(x, np.sin(x))
axes[1].plot(x, np.cos(x))
```

```
[<matplotlib.lines.Line2D at 0x7fb9689bb460>]
```