VSCode Jupyter – Plots displaying differently in different files despite using same backend

I am trying to plot some data using the VSCode Jupyter Notebook editor. Not sure if that’s relevant.

Here is the code for generating my plot:

import numpy as np
import matplotlib
from matplotlib import pyplot as plt

G = 32.2  # [ft/s^2]

v_0 = 8  # [ft/s]
theta = 45  # [deg]

theta_rad = theta * np.pi/180

x_0 = 0  # [ft]
v_0x = v_0 * np.cos(theta_rad)  # [ft/s]
a_x = 0  # [ft/s^2]

y_0 = 3  # [ft]
v_0y = v_0 * np.sin(theta_rad)  # [ft/s]
a_y = -G  # [ft/s^2]

t_final = (v_0y + np.sqrt(v_0y**2 + 2*G*y_0)) / G

N = 50
t = np.linspace(0, t_final, N)

x = x_0  +  v_0x*t  +  1/2 * a_x * t**2
y = y_0  +  v_0y*t  +  1/2 * a_y * t**2

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(x, y)

ax.set_xlim(left=0)
ax.set_ylim(bottom=0)

ax.set_aspect('equal')

plt.grid()
plt.show()

Trying this code in the first .ipynb file results in this plot:

Trying this code in a different .ipynb file results in this plot:

When running matplotlib.get_backend() both files return 'module://matplotlib_inline.backend_inline'.

This behavior persists after restarting VSCode and my PC, and seems to depend on the file somehow.

Why is this happening? How can I force VSCode/Jupyter to use the style in the second plot?