in matplotlib creating subplots with legends

1fig = plt.figure()
2
3# total_rows, total_columns, subplot_index(1st, 2nd, etc..)
4plt.subplot(2, 2, 1)
5plt.plot(x, y)
6
7plt.subplot(2, 2, 2)
8plt.plot(x, y)
9
10plt.subplot(2, 2, 3)
11plt.plot(x, y)
12
13plt.subplot(2, 2, 4)
14plt.plot(x, y)

1# First create some toy data:
2x = np.linspace(0, 2*np.pi, 400)
3y = np.sin(x**2)
4
5# Creates just a figure and only one subplot
6fig, ax = plt.subplots()
7ax.plot(x, y)
8ax.set_title('Simple plot')
9
10# Creates two subplots and unpacks the output array immediately
11f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
12ax1.plot(x, y)
13ax1.set_title('Sharing Y axis')
14ax2.scatter(x, y)
15
16# Creates four polar axes, and accesses them through the returned array
17fig, axes = plt.subplots(2, 2, subplot_kw=dict(polar=True))
18axes[0, 0].plot(x, y)
19axes[1, 1].scatter(x, y)
20
21# Share a X axis with each column of subplots
22plt.subplots(2, 2, sharex='col')
23
24# Share a Y axis with each row of subplots
25plt.subplots(2, 2, sharey='row')
26
27# Share both X and Y axes with all subplots
28plt.subplots(2, 2, sharex='all', sharey='all')
29
30# Note that this is the same as
31plt.subplots(2, 2, sharex=True, sharey=True)
32
33# Creates figure number 10 with a single subplot
34# and clears it if it already exists.
35fig, ax=plt.subplots(num=10, clear=True)

1import numpy as np
2from matplotlib import pyplot as plt
3plt.rcParams["figure.figsize"] = [7.50, 3.50]
4plt.rcParams["figure.autolayout"] = True
5x = np.linspace(-2, 2, 100)
6y1 = np.sin(x)
7y2 = np.cos(x)
8y3 = np.tan(x)
9f, axes = plt.subplots(3)
10axes[0].plot(x, y1, c='r', label="sine")
11axes[0].legend(loc='upper left')
12axes[1].plot(x, y2, c='g', label="cosine")
13axes[1].legend(loc='upper left')
14axes[2].plot(x, y3, c='b', label="tan")
15axes[2].legend(loc='upper left')
16plt.show()