import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

fig, axs = plt.subplots(2, 2)

axs[0, 0].plot(x, y)
axs[0, 0].set_title(''''Plot 1'''')
axs[0, 1].plot(x, -y)
axs[0, 1].set_title(''''Plot 2'''')
axs[1, 0].plot(x, y**2)
axs[1, 0].set_title(''''Plot 3'''')
axs[1, 1].plot(x, -y**2)
axs[1, 1].set_title(''''Plot 4'''')
plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)
data = np.random.randn(1000)
fig, axs = plt.subplots(2, 2, figsize=(10, 10))
axs[0, 0].plot(x, y1, label=''''Sine'''')
axs[0, 0].set_title(''''Line Plot'''')
axs[0, 0].legend()
axs[0, 1].scatter(x, y2, color=''''r'''', label=''''Cosine'''')
axs[0, 1].set_title(''''Scatter Plot'''')
axs[0, 1].legend()
axs[1, 0].hist(data, bins=30, color=''''g'''', alpha=0.7)
axs[1, 0].set_title(''''Histogram'''')
categories = [''''A'''', ''''B'''', ''''C'''', ''''D'''', ''''E'''']
values = [5, 7, 8, 5, 6]
axs[1, 1].bar(categories, values, color=''''b'''', alpha=0.6)
axs[1, 1].set_title(''''Bar Chart'''')
fig.suptitle(''''Subplots with Different Charts'''')
plt.tight_layout(rect=[0, 0, 1, 0.96])
plt.show()