I am trying to depict two figures simultaneously in two different plots. I am getting though only one figure (the first one in particular).
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_excel("My excel.xlsx")
A1 = some value
A2 = value
A20 = value
Z = value
fig = plt.figure()
ax = fig.add_subplot()
ax.plot(Z,A1)
ax.plot(Z,A2)
ax.plot(Z,A3)
ax.plot(Z,A4)
ax.plot(Z,A5)
ax.plot(Z,A6)
ax.plot(Z,A20)
plt.legend(loc = 'upper left')
plt.figure()
plt.show()
fig = plt.figure()
ax.plot = fig.add_subplot()
B1 = value
B2 = value
B3 = value
B4 = value
B20 = value
ax.plt(Z,B1)
ax.plt(Z,B2)
ax.plt(Z,B20)
plt.legend(loc= 'upper left')
plt.figure()
plt.show()
I've seen a relevant post dealing with the same issue but was not able to come to a conclusion. Any help is welcome. Thank you in advance!
Here's a link that might help you creating multiple subplots : https://matplotlib.org/stable/gallery/subplots_axes_and_figures/subplots_demo.html
I would also suggest to use list as arguments with plt.plot :
Use
ax.plt([Z, Z, Z], [B1, B2, B20])
instead of
ax.plt(Z,B1)
ax.plt(Z,B2)
ax.plt(Z,B20)