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.
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]
(Mar-23-2017, 04:51 PM)zivoni Wrote: [ -> ]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!