I would like to learn how to plot multiple data sets taken from excel in one plot. The code below (provided kindly by another user) plots data sets in separate plots. It works great. Now I need to combine data for other purposes to show in one plot. import matplotlib.pyplot as plt import numpy as np import pandas as pd import openpyxl as xl df = pd.read_excel("C:\\temp\\test.xlsx", sheet_name="Sheet2", skiprows=5) print(df.columns) def grouped(iterable, n): return zip(*[iter(iterable)]*n) pair_count = len(list(grouped(df.columns,2))) pair = 1 plt.figure(figsize=(10,5)) for x_col,y_col in grouped(df.columns,2): x=np.array(df[x_col].values) y=np.array(df[y_col].values) plt.subplot(1,pair_count,pair) plt.xlim(0.1,15) plt.ylim(300,800) plt.plot(x,y) plt.title(f"{pair}. th plot") plt.xlabel(f"{x_col}") plt.ylabel(f"{y_col}") pair += 1 plt.show() It should look like this: I would really appreciate your help! Tried adding fig, ax = plt.subplots() but it created 10 separate graphs. Continue reading...