Hands-On Data Analysis with Pandas

Additional options

A few of our visualizations looked a little squished. To remedy this, we can pass the figsize argument to plt.figure() or plt.subplots() with a tuple in the form of (width, height) in inches:

>>> fig = plt.figure(figsize=(10, 4))<Figure size 720x288 with 0 Axes>>>> fig, axes = plt.subplots(1, 2, figsize=(10, 4))

This results in the following subplots:

The plot() method we will see with pandas also accepts the figsize parameter, so bear this in mind.

It's not so bad specifying the figsize parameter for our plots one-by-one. However, if we find that we are resizing everything to the same size, there's a better alternative. ...