plotly堆叠残差围成的面积图，Python

「爱情、让人受尽委屈。」 2023-06-23 14:21 9阅读 0赞

import plotly as py
    import plotly.graph_objs as go
    import numpy as np
    
    if __name__ == '__main__':
        count = 30
        ax = [a for a in range(count)]
        y1 = np.random.random(count) + 1
        print(y1)
        y2 = np.random.random(count) + 2
        print(y2)
    
        trace1 = go.Scatter(
            x=ax,
            y=y1,
            fill=None,
            mode='lines',
            name="甲"
        )
    
        trace2 = go.Scatter(
            x=ax,
            y=y2,
            fill='tonexty',
            mode='none',
            name="乙"
        )
    
        data = [trace1, trace2]
    
        layout = dict(title='一条曲线',
                      xaxis=dict(title='时间'),
                      yaxis=dict(title='对比参照'),
                      )
        fig = dict(data=data, layout=layout)
        py.offline.plot(fig, filename='fig.html')

如图：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70][]

数据：

[1.81948906 1.90986031 1.97874382 1.95696095 1.46951918 1.75425346
     1.74950135 1.51535676 1.28641076 1.71494238 1.53612186 1.73244425
     1.45686196 1.34514254 1.05324027 1.90008688 1.42644222 1.29122902
     1.56588033 1.51585383 1.49433673 1.45560525 1.03639483 1.48588834
     1.18956677 1.17175237 1.0139798  1.10591103 1.47639936 1.4111587 ]
    [2.80834863 2.84134552 2.8841477  2.61683362 2.14689641 2.13235801
     2.17955131 2.82645101 2.75209502 2.8165865  2.00936273 2.82707883
     2.64675513 2.40060479 2.40211049 2.11151292 2.80820837 2.76651774
     2.02275856 2.66341215 2.17598552 2.67787399 2.2671058  2.62285852
     2.34989048 2.9897749  2.13490803 2.32264514 2.48409108 2.20066351]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20191219183854345.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA==,size_16,color_FFFFFF,t_70