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# -*- coding: GBK -*-
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import pandas as pd
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import matplotlib.pyplot as plt
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from matplotlib.font_manager import FontProperties
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plt.rcParams['font.sans-serif'] = ['SimHei'] # 用黑体显示中文
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plt.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题
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data = pd.read_csv('changsha天气.csv', encoding='GBK')['天气'].tolist()
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# 统计天气种类及次数
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weather_counts = {}
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for weather in data:
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if weather in weather_counts:
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weather_counts[weather] += 1
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else:
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weather_counts[weather] = 1
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# 绘制饼图
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plt.figure(figsize=(15,15 ))
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threshold = 0.05 # 设定显示阈值为5%
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def custom_autopct(pct):
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"""
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自定义autopct逻辑，用于控制百分比标签的显示。
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如果百分比小于阈值，则返回空字符串（即不显示标签）。
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"""
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return ('%1.1f%%' % pct) if pct >= threshold else ''
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labels_to_show = [label for label, count in weather_counts.items() if count/sum(weather_counts.values()) >= threshold]
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values_to_show = [count for label, count in weather_counts.items() if label in labels_to_show]
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legend_labels = [label for label in weather_counts.keys() if label in labels_to_show]
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patches, texts, autotexts = plt.pie(weather_counts.values(), autopct=custom_autopct, startangle=140)
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plt.legend(patches,weather_counts.keys(), title="Weather Types", loc="center left", bbox_to_anchor=(1, 0, 0.5, 1))
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plt.title('Weather Distribution')
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plt.savefig('长沙2023年气温饼图.png')
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plt.show()
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