import matplotlib.pyplot as plt

products = ['A', 'B', 'C', 'D']
sales = [100, 150, 80, 120]

fig, ax = plt.subplots()
ax.bar(products, sales)
ax.set_title('Sales by Product')
plt.show()

ax.barh(products, sales)  # barh = horizontal

ax.bar(products, sales, color='green')

colors = ['red', 'blue', 'green', 'orange']
ax.bar(products, sales, color=colors)

fig, ax = plt.subplots()
bars = ax.bar(products, sales)

# Add value on top of each bar
for bar, value in zip(bars, sales):
    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height(),
            str(value), ha='center', va='bottom')

plt.show()

import matplotlib.pyplot as plt
import numpy as np

categories = ['A', 'B', 'C']
sales_2023 = [100, 150, 80]
sales_2024 = [120, 140, 100]

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

fig, ax = plt.subplots()
ax.bar(x - width/2, sales_2023, width, label='2023')
ax.bar(x + width/2, sales_2024, width, label='2024')

ax.set_xticks(x)
ax.set_xticklabels(categories)
ax.legend()
plt.show()

categories = ['Q1', 'Q2', 'Q3', 'Q4']
product_a = [20, 25, 30, 35]
product_b = [15, 20, 18, 22]

fig, ax = plt.subplots()
ax.bar(categories, product_a, label='Product A')
ax.bar(categories, product_b, bottom=product_a, label='Product B')

ax.legend()
plt.show()

ax.bar(products, sales, width=0.5)  # default is 0.8

ax.bar(products, sales, color='lightblue', edgecolor='black')

import matplotlib.pyplot as plt

# Data
departments = ['Sales', 'IT', 'HR', 'Marketing']
employees = [25, 15, 10, 20]
colors = ['#3498db', '#2ecc71', '#e74c3c', '#f39c12']

fig, ax = plt.subplots(figsize=(10, 6))

bars = ax.bar(departments, employees, color=colors, edgecolor='black')

# Add labels on bars
for bar, emp in zip(bars, employees):
    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.5,
            str(emp), ha='center', fontsize=12)

ax.set_ylabel('Number of Employees')
ax.set_title('Employees by Department')
ax.set_ylim(0, 30)

plt.show()