如何基于非常规标签数据为各联赛制作上下半场进球占比饼图？

Got it, let's walk through how to make those pie charts for each league's goal split. Here's a step-by-step solution using pandas and matplotlib—standard tools for this kind of data visualization task:

First, let's get your data into a properly structured pandas DataFrame. It looks like your first column is the league name, followed by the first and second half goal percentages. Here's how to set that up:

import pandas as pd
import matplotlib.pyplot as plt

# Define and load the data
data = {
    'Div': ['Bundesliga', 'EPL', 'La Liga'],
    'First_Half': [0.438, 0.434, 0.441],
    'Second_Half': [0.562, 0.566, 0.559]
}
df = pd.DataFrame(data)

Next, we'll loop through each league in the DataFrame to generate a dedicated pie chart for each. We'll add clear labels, precise percentage displays, and league-specific titles to make the charts easy to interpret:

# Iterate over each league to create its pie chart
for _, row in df.iterrows():
    league = row['Div']
    # Extract the goal split values
    split_values = [row['First_Half'], row['Second_Half']]
    half_labels = ['First Half', 'Second Half']
    
    # Create a new figure for each chart (avoids overlapping)
    plt.figure(figsize=(6, 6))
    # Generate the pie chart with percentage labels
    plt.pie(split_values, labels=half_labels, autopct='%1.3f%%', startangle=90)
    # Add a descriptive title
    plt.title(f'Goal Split by Half - {league}')
    # Ensure the pie is a perfect circle (not stretched)
    plt.axis('equal')
    # Display the chart
    plt.show()

Quick Notes on Customization: #

• autopct='%1.3f%%': This shows the exact percentage with three decimal places, matching the precision of your original data.
• startangle=90: Rotates the chart so the "First Half" slice starts at the top, making it more intuitive to read.
• If you want to save the charts instead of just displaying them, add plt.savefig(f'{league}_goal_split.png') right before plt.show().

内容的提问来源于stack exchange，提问作者the man