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