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src/Line_Chart.py

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+import matplotlib
+import pandas as pd
+from matplotlib import pyplot as plt
+matplotlib.use('agg')
+
+dict_all=[]
+for i in range(1, 7):
+    df = pd.read_excel(f'data{2017+i}.xlsx')
+    specific_column = '语言'
+    dict_year = df[specific_column].value_counts().to_dict()
+    dict_top = dict(sorted(dict_year.items(), key=lambda item: item[1], reverse=True)[:10])
+    dict_all.append(dict_top)
+
+all_keys = set().union(*[d.keys() for d in dict_all])
+
+# 绘制折线图
+fig, ax = plt.subplots(figsize=(10, 8))
+for key in all_keys:
+    x = [1, 2, 3, 4, 5, 6]
+    y = [d.get(key, None) for d in dict_all]
+    ax.plot(x, y, marker='o', label=key)
+
+ax.set_xticks(x)
+ax.set_xticklabels(['2018', '2019', '2020', '2021', '2022', '2023'])
+ax.set_xlabel('Year')
+ax.set_ylabel('utilization number')
+ax.set_title('Trends in the use of Language')
+plt.savefig('Trends in the use of Language.png')
+
+# 创建一个新的图表，用于显示标签
+fig_legend = plt.figure(figsize=(6, 4))
+ax_legend = fig_legend.add_subplot(111)
+
+# 存储所有键的集合
+all_keys = set().union(*[d.keys() for d in dict_all])
+
+# 绘制标签
+for key in all_keys:
+    ax_legend.plot([], [], label=key)  # 添加一个空的 plot，仅用于显示标签
+
+# 显示图例
+ax_legend.legend(loc='center', bbox_to_anchor=(0.5, 0.5))
+ax_legend.axis('off')  # 关闭坐标轴
+
+plt.savefig('Line_Language.png')
+# 显示图形
+plt.show()