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24 Pandas怎样结合Pyecharts绘制交互性折线图

24 Pandas怎样结合Pyecharts绘制交互性折线图

作者: Viterbi | 来源:发表于2022-11-13 10:37 被阅读0次

    24 Pandas怎样结合Pyecharts绘制交互性折线图?

    背景:

    • Pandas是Python用于数据分析领域的超级牛的库
    • Echarts是百度开源的非常好用强大的可视化图表库,Pyecharts是它的Python库版本

    1、读取数据

    import pandas as pd
    
    xlsx_path = "./datas/stocks/baidu_stocks.xlsx"
    df = pd.read_excel(xlsx_path, index_col="datetime", parse_dates=True)
    df.head()
    
    .dataframe tbody tr th:only-of-type { vertical-align: middle; } <pre><code>.dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </code></pre>
    code open close high low vol p_change
    datetime
    2019-12-03 BIDU 115.199997 114.800003 116.019997 113.300003 3493249 -2.25
    2019-12-02 BIDU 118.389999 117.440002 119.764999 116.400002 2203313 -0.92
    2019-11-29 BIDU 118.300003 118.529999 118.690002 117.599998 1917004 -0.82
    2019-11-27 BIDU 119.180000 119.510002 119.839996 118.440002 2341070 0.77
    2019-11-26 BIDU 120.010002 118.599998 120.440002 118.099998 3813176 -1.43
    df.index
    
    
    
        DatetimeIndex(['2019-12-03', '2019-12-02', '2019-11-29', '2019-11-27',
                       '2019-11-26', '2019-11-25', '2019-11-22', '2019-11-21',
                       '2019-11-20', '2019-11-19',
                       ...
                       '2019-01-15', '2019-01-14', '2019-01-11', '2019-01-10',
                       '2019-01-09', '2019-01-08', '2019-01-07', '2019-01-04',
                       '2019-01-03', '2019-01-02'],
                      dtype='datetime64[ns]', name='datetime', length=227, freq=None)
    
    
    
    df.sort_index(inplace=True)
    df.head()
    
    .dataframe tbody tr th:only-of-type { vertical-align: middle; } <pre><code>.dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </code></pre>
    code open close high low vol p_change
    datetime
    2019-01-02 BIDU 156.179993 162.250000 164.330002 155.490005 2996952 NaN
    2019-01-03 BIDU 158.750000 154.710007 159.880005 153.779999 3879180 -4.65
    2019-01-04 BIDU 157.600006 160.949997 162.429993 157.250000 3847497 4.03
    2019-01-07 BIDU 162.600006 162.600006 164.490005 158.509995 3266091 1.03
    2019-01-08 BIDU 162.190002 163.399994 163.889999 158.160004 3253361 0.49

    2、使用Pyecharts绘制折线图

    # 如果没有安装,使用pip install pyecharts安装
    from pyecharts.charts import Line
    from pyecharts import options as opts
    
    # 折线图
    line = Line()
    
    # x轴
    line.add_xaxis(df.index.to_list())
    
    # 每个y轴
    line.add_yaxis("开盘价", df["open"].round(2).to_list())
    line.add_yaxis("收盘价", df["close"].round(2).to_list())
    
    # 图表配置
    line.set_global_opts(
        title_opts=opts.TitleOpts(title="百度股票2019年"),
        tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")
    )
    
        <pyecharts.charts.basic_charts.line.Line at 0x201bd51d088>
    
    
    # 渲染数据
    line.render_notebook()
    
    

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