Menambahkan Pie Chart dengan Seaborn

import matplotlib.pyplot as plt
import seaborn as sns

# Creating dataset
cars = ['AUDI', 'BMW', 'FORD', 'TESLA', 'JAGUAR', 'MERCEDES']
data = [23, 17, 35, 29, 12, 41]

# Set Seaborn style
sns.set(style="whitegrid")

# Creating plot using Seaborn
fig, ax = plt.subplots(figsize=(10, 7))
ax.pie(data, labels=cars, autopct='%1.1f%%', startangle=90, colors=sns.color_palette('pastel'), wedgeprops=dict(width=0.4))

# Set plot title
plt.title('Car Distribution')

# Show plot
plt.show()

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

# Creating dataset
cars = ['AUDI', 'BMW', 'FORD', 'TESLA', 'JAGUAR', 'MERCEDES']
data = [23, 17, 35, 29, 12, 41]

# Creating explode data
explode = (0.1, 0.0, 0.2, 0.3, 0.0, 0.0)

# Creating color parameters
colors = ("orange", "cyan", "brown", "grey", "indigo", "beige")

# Wedge properties
wp = {'linewidth': 1, 'edgecolor': "green"}

# Creating autocpt arguments
def func(pct, allvalues):
    absolute = int(pct / 100.*np.sum(allvalues))
    return "{:.1f}%\n({:d} g)".format(pct, absolute)

# Set Seaborn style
sns.set(style="whitegrid")

# Creating plot using Matplotlib
fig, ax = plt.subplots(figsize=(10, 7))
wedges, texts, autotexts = ax.pie(data, autopct=lambda pct: func(pct, data), explode=explode, labels=cars,
                                  shadow=True, colors=colors, startangle=90, wedgeprops=wp,
                                  textprops=dict(color="magenta"))

# Adding legend
ax.legend(wedges, cars, title="Cars", loc="center left",
          bbox_to_anchor=(1, 0, 0.5, 1))
plt.setp(autotexts, size=8, weight="bold")
ax.set_title("Customizing pie chart")

# Show plot
plt.show()