Gridlines not showing up

Question

I've set up the following code to read in a .graphml file, preform a calculation (eigenvalues) and then plot the results. Here is the code I have so far:

import numpy as np import networkx as nx import matplotlib.pyplot as plt # Read in the Data G = nx.read_graphml("/home/user/DropBox_External_Datasets/JHU_Human_Brain/cat_brain_1.graphml") nx.draw(G) plt.savefig("test_graph.png") Z = nx.to_numpy_matrix(G) # Get Eigenvalues and Eigenvectors # ---------------------------------------------------------------------------------- # e_vals, e_vec = np.linalg.eigh(Z) print("The eigenvalues of A are:", e_vals) print("The size of the eigenvalues matrix is:", e_vals.shape) # ---------------------------------------------------------------------------------- plt.plot(e_vals, 'g^') plt.ylabel('Eigenvalues') # plt.axis([-30, 300, -15, 30]) # Optimal settings for Rhesus data # plt.axis([-0.07, 1, -0.2, 1.2]) # range to zoom in on cluster of points in Rhesus data plt.grid(b=True, which='major', color='b', linestyle='-') plt.show()

But no gridlines or axes show up on the graph. Is there something other then plt.grid() that I need to use?

Trenton McKinney · Accepted Answer · 2021-10-14 13:15:16Z

I have been finding that using the matplotlib object oriented API is a more robust way to make things work as expected. Pyplot is essentially a big wrapper for the object-oriented calls. I've written something that should be equivalent:

import matplotlib.pyplot as plt # ... your other code here # Using subplots fig, ax = plt.subplots(ncols=1, nrows=1) # These arguments can be omitted for one # plot, I just include them for clarity ax.plot(e_vals, 'g^') ax.set_ylabel('Eigenvalues') ax.grid(b=True, which='major', color='b', linestyle='-') plt.show()

Calling ax.grid (b=true) instead of ax.grid () was enough for me. It seems to be the right way to use it: "If any kwargs are supplied, it is assumed you want the grid on and b will be set to True. If b is None and there are no kwargs, this toggles the visibility of the lines."
Also want to add that putting ax.plot(...) below ax.grid(b=1) will cover up the gridlines. As such, plot should be used before grid.

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