How to generate matplotlib figures inside a for loop-CodePudding

Hello I have a piece of code which reads an excel data file, does some stuff to it and then plots a figure. Now i want to be able to plot many excel data files at the same time and each should be plotted to its own figure.

example:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import MultiCursor
import matplotlib.pylab as pl

Files_to_read = np.array([r"C:\file1",r"C:\file2"])
for ii in range(len(Files_to_read)):
   df=pd.read_excel(Files_to_read[ii])
#do a lot of stuff to "df"
   fig, ((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2,sharex=True)
   fig.suptitle('some name')
   p1 = ax1.plot(df["some vector"], df["some vector"])
   p2 = ax2.plot(df["some vector"], df["some vector"])
   p3 = ax3.plot(df["some vector"], df["some vector"])
   p4 = ax4.plot(df["some vector"], df["some vector"])
   multi = MultiCursor(fig.canvas, (ax1, ax2, ax3, ax4), color='r', lw=1)
   plt.show()

Doing it like this generates 1 figure with the data of the first file and then overwrites the same figure with the data of the second file, how can I change it to generate a new figure on each pass through the for loop?

CodePudding user response：

Move your call to plt.show() so that it occurs after the for loop has been complete. All created figures should be visualized at once.