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show2.py

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+import pandas as pd
+from pyecharts import options as opts
+from pyecharts.charts import Bar, Line, Grid, Timeline
+
+# 读取CSV文件
+df = pd.read_csv('weather.csv', encoding='utf-8')
+
+# 将日期列转换为 datetime 类型
+df['日期'] = pd.to_datetime(df['日期'])
+
+# 新增月份列
+df['month'] = df['日期'].dt.month
+
+# 创建 Timeline 实例
+timeline = Timeline()
+
+# 创建每月天气柱状图和气温折线图
+for month in df['month'].unique():
+    # 过滤出当前月份的数据
+    data = df[df['month'] == month]
+    
+    # 创建柱状图
+    bar = Bar()
+    bar.add_xaxis(data['天气'].value_counts().index.tolist())
+    bar.add_yaxis('', data['天气'].value_counts().tolist(), category_gap="50%")
+    bar.set_global_opts(title_opts=opts.TitleOpts(title=f'桂林2023年{month}月天气变化'))
+    
+    # 创建折线图
+    line = Line()
+    line.add_xaxis(data['日期'].dt.strftime('%Y-%m-%d').tolist())
+    line.add_yaxis('最高气温', data['最高气温'].tolist())
+    line.add_yaxis('最低气温', data['最低气温'].tolist())
+ 
+    # 创建 Grid 组件，将柱状图和折线图放在同一个 Grid 中
+    grid = Grid(init_opts=opts.InitOpts(theme="light"))
+    grid.add(bar, grid_opts=opts.GridOpts(pos_left="5%", pos_right="25%", pos_top="10%", pos_bottom="55%"))
+    grid.add(line, grid_opts=opts.GridOpts(pos_left="5%", pos_right="25%", pos_top="55%", pos_bottom="15%"))
+
+    # 将 Grid 添加到 Timeline 中
+    timeline.add(grid, f'{month}月')
+
+# 渲染生成 HTML 文件
+timeline.render('weather_timeline.html')
+
+print("已生成每月天气柱状图和每日气温折线图的时间轴可视化")