if you give a 2D array to the plot function of matplotlib it will assume the columns to be lines:
If x and/or y is 2-dimensional, then the corresponding columns will be plotted.
In your case your shape is not accepted (100, 1, 1, 8000). As so you can using numpy squeeze to solve the problem quickly:
np.squeez doc: Remove single-dimensional entries from the shape of an array.
import numpy as np import matplotlib.pyplot as plt data = np.random.randint(3, 7, (10, 1, 1, 80)) newdata = np.squeeze(data) # Shape is now: (10, 80) plt.plot(newdata) # plotting by columns plt.show()
But notice that 100 sets of 80 000 points is a lot of data for matplotlib. I would recommend that you look for an alternative. The result of the code example (run in Jupyter) is: