How to create many plots with Matplotlib in Python

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(1,10)
y = x ** 4
a = np.arange(1,5)
b = a * 100

fig,axes = plt.subplots(nrows=2, ncols = 2, dpi = 200, figsize = (5,10))
axes[0][0].plot(a,b)
axes[1][0].plot(x,y)
axes[0][0].set_xlabel("X label")
axes[0][0].set_ylabel("Y label")
axes[0][0].set_title("Title 1")

fig.suptitle("Figure level",fontsize = 16)

plt.tight_layout() # to solve a problem with space
# fig.subplots_adjust(left =, right = , bottom = , top = , wspace = , hspace = ) # manual spacing

############################################################
'''
# Adjust the figure size
plt.figure(figsize=(10,5))

# Plot the histograms of X and Y next to each other
plt.subplot(1,2,1)
plt.hist(x = x, bins = 15)
plt.title("X")

plt.subplot(1,2,2)
plt.hist(x = y, bins = 15)
plt.title("Y")

plt.show()

#############################################################
# Plot the data
plt.figure(figsize=(10,10))
plt.subplot(2,2,2)
plt.scatter(x = x, y = y)
plt.title("Joint Distribution of X and Y")

# Plot the Marginal X Distribution
plt.subplot(2,2,4)
plt.hist(x = x, bins = 15)
plt.title("Marginal Distribution of X")


# Plot the Marginal Y Distribution
plt.subplot(2,2,1)
plt.hist(x = y, orientation = "horizontal", bins = 15)
plt.title("Marginal Distribution of Y")

# Show the plots
plt.show()
'''