Tuple Unpacking with graphs in matplotlib

[smw10c]

I hope you are all having a good day. I am currently taking a MOOC on Python. We went over a bit of code in matplotlib:

Fig=plt.figure()
Fig,axes=plt.subplots(nrows=1,ncols=2)

The instructor said that "fig, axes" is a way of doing tuple unpacking. I know what tuple unpacking is, however, I don't understand it in this context. If someone could please explain it would be greatly appreciated.

[zivoni]

plt.subplots() returns tuple containg figure object and arrray of axis objects (if atleast one of nrows or ncols is > 1).

When you want plot with two subplots in one row, you use fig, axes = plt.subplots(1,2), unpacking assigns figure into fig and axis array into axes. After that you can use axes to access specified subplots, while fig is used to control entire figure. Simple example:

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-2, 2, 400)
fig, axes = plt.subplots(1,2)
axes[0].plot(x, x**2)
axes[1].plot(x, x**3)
fig.savefig('boo.png', dpi=200)

[Image: OOKQKp8.png]

[smw10c]

plt.subplots() returns tuple containg figure object and arrray of axis objects (if atleast one of nrows or ncols is > 1). When you want plot with two subplots in one row, you use fig, axes = plt.subplots(1,2), unpacking assigns figure into fig and axis array into axes. After that you can use axes to access specified subplots, while fig is used to control entire figure. Simple example:

 import numpy as np import matplotlib.pyplot as plt x = np.linspace(-2, 2, 400) fig, axes = plt.subplots(1,2) axes[0].plot(x, x**2) axes[1].plot(x, x**3) fig.savefig('boo.png', dpi=200) 

[Image: OOKQKp8.png]

That was exceedingly helpful. Thank you!