Python数据可视化：Matplotlib生成专业统计图表

🚀 实例简介

使用 matplotlib 绘制柱状图、折线图、饼图等常见统计图表，支持中文标签。

💻 核心代码

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Python数据可视化：Matplotlib生成专业统计图表（Tkinter GUI版）
功能：一键生成柱状图、折线图、饼图，支持中文标签显示
"""
import tkinter as tk
from tkinter import ttk, messagebox
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image, ImageTk
import platform
import os

# 中文字体配置
CHINESE_FONT = "WenQuanYi Zen Hei" if platform.system() == "Linux" else "Microsoft YaHei"
matplotlib.rcParams['font.sans-serif'] = [CHINESE_FONT, 'SimHei', 'DejaVu Sans']
matplotlib.rcParams['axes.unicode_minus'] = False

class ChartApp(tk.Tk):
    """Matplotlib统计图表生成器"""
    def __init__(self):
        super().__init__()
        self.title("Python数据可视化 - 统计图表生成器")
        self.geometry("700x550")
        self.configure(bg="#f0f4f8")
        self.result_img = None

        # 标题区域
        title_frame = tk.Frame(self, bg="#2c3e50", height=60)
        title_frame.pack(fill=tk.X)
        title_frame.pack_propagate(False)
        tk.Label(title_frame, text="📊 统计图表生成器",
                 font=(CHINESE_FONT, 18, "bold"), fg="white", bg="#2c3e50").pack(pady=15)

        # 控制面板
        ctrl = tk.LabelFrame(self, text="图表类型选择", font=(CHINESE_FONT, 11),
                             bg="#ecf0f1", padx=15, pady=10)
        ctrl.pack(fill=tk.X, padx=20, pady=(15, 5))

        self.chart_type = tk.StringVar(value="bar")
        types = [("柱状图 - 编程语言热度对比", "bar"),
                 ("折线图 - 月度趋势分析", "line"),
                 ("饼图 - 市场份额分布", "pie")]
        for text, val in types:
            tk.Radiobutton(ctrl, text=text, variable=self.chart_type, value=val,
                          font=(CHINESE_FONT, 11), bg="#ecf0f1",
                          activebackground="#ecf0f1").pack(anchor=tk.W, pady=2)

        # 按钮
        btn_frame = tk.Frame(self, bg="#f0f4f8")
        btn_frame.pack(fill=tk.X, padx=20, pady=10)
        tk.Button(btn_frame, text="🚀 生成图表", command=self.generate_chart,
                 font=(CHINESE_FONT, 12, "bold"), bg="#27ae60", fg="white",
                 relief=tk.FLAT, padx=20, pady=8).pack(side=tk.LEFT, padx=5)
        tk.Button(btn_frame, text="📁 保存图片", command=self.save_image,
                 font=(CHINESE_FONT, 12), bg="#3498db", fg="white",
                 relief=tk.FLAT, padx=20, pady=8).pack(side=tk.LEFT, padx=5)
        self.status = tk.Label(btn_frame, text="就绪", font=(CHINESE_FONT, 10),
                              bg="#f0f4f8", fg="#7f8c8d")
        self.status.pack(side=tk.RIGHT, padx=10)

        # 图表显示区域
        self.canvas_frame = tk.Frame(self, bg="white", relief=tk.SUNKEN, bd=2)
        self.canvas_frame.pack(fill=tk.BOTH, expand=True, padx=20, pady=(0, 15))
        self.canvas = tk.Canvas(self.canvas_frame, bg="white", highlightthickness=0)
        self.canvas.pack(fill=tk.BOTH, expand=True, padx=5, pady=5)

        # 初始显示示例
        self.after(500, self.generate_chart)

    def generate_chart(self):
        """根据选择的类型生成对应图表"""
        self.status.config(text="生成中...")
        self.update()
        try:
            fig, ax = plt.subplots(figsize=(6, 4), dpi=80)
            ct = self.chart_type.get()
            if ct == "bar":

💡 适用场景

• Python数据可视化学习
• 统计图表快速生成
• Matplotlib实战练习