Bar Plots in Matplotlib

import matplotlib.pyplot as plt

# Sample data
categories = ['A', 'B', 'C', 'D']
values = [10, 15, 7, 20]

plt.bar(categories, values, color='blue')

plt.xlabel('Categories')
plt.ylabel('Values')
plt.title('Basic Bar Plot')

plt.show()

import matplotlib.pyplot as plt
import numpy as np

# Sample data
categories = ['A', 'B', 'C', 'D']
values1 = [10, 15, 7, 20]
values2 = [12, 18, 6, 15]

x = np.arange(len(categories))
width = 0.35

fig, ax = plt.subplots()

bars1 = ax.bar(x - width/2, values1, width, label='Group 1')
bars2 = ax.bar(x + width/2, values2, width, label='Group 2')

ax.set_xlabel('Categories')
ax.set_ylabel('Values')
ax.set_title('Grouped Bar Plot')
ax.set_xticks(x)
ax.set_xticklabels(categories)
ax.legend()

plt.show()

import matplotlib.pyplot as plt

# Sample data
categories = ['A', 'B', 'C', 'D']
values1 = [10, 15, 7, 20]
values2 = [12, 18, 6, 15]

fig, ax = plt.subplots()

bars1 = ax.bar(categories, values1, label='Group 1')
bars2 = ax.bar(categories, values2, bottom=values1, label='Group 2')

ax.set_xlabel('Categories')
ax.set_ylabel('Values')
ax.set_title('Stacked Bar Plot')
ax.legend()

plt.show()

import matplotlib.pyplot as plt

# Sample data with car models only
categories = [
    'Toyota Camry', 
    'Honda Accord', 
    'Tesla Model 3', 
    'Ford F-150', 
    'Chevrolet Silverado', 
    'BMW 3 Series', 
    'Mercedes-Benz C-Class', 
    'Jeep Wrangler', 
    'Subaru Outback', 
    'Hyundai Sonata'
]
values = [45, 38, 50, 80, 70, 30, 28, 35, 22, 25]

# Plot horizontal bar plot
plt.barh(categories, values, color='purple')

plt.xlabel('Sales (in thousands)')
plt.ylabel('Car Models')
plt.title('Car Model Sales Performance')
plt.show()