如何在 for 循环内的 Plotly 中注释子图

2022-01-21 00:00:00 pandas plotly subplot

问题描述

我正在尝试在 for 循环中注释我的子图.每个子图将在图上打印 RMS 值.我尝试通过以下方式做到这一点:

I am trying to annotate my subplots inside a for loop. Each subplot will have RMS value printed on the plot. I tried to do it the following way:

from plotly import tools
figg = tools.make_subplots(rows=4, cols=1)

fake_date = {"X":   np.arange(1, 101, 0.5), "Y": np.sin(x), "Z": [x + 1 for x in range(10)] * 20}
fake_date = pd.DataFrame(fake_date)
fake_date.sort_values("Z")

unique_ids = fake_date['Z'].unique()
train_id, test_id = np.split(np.random.permutation(unique_ids), [int(.6 * len(unique_ids))])


for i, j in enumerate(test_id):

    x_test = fake_date[fake_date['Z'].isin([test_id[i]])] 
    y_test = fake_date[fake_date['Z'].isin([test_id[i]])]


    # Evaluate 
    rms_test = 0.04
    r_test = 0.9



    Real = {'type' : 'scatter',
                     'x' : x_test.X,
                     'y' : x_test.Y,
                "mode" : 'lines+markers', 
                "name" : 'Real'}




    figg.append_trace(Real, i+1, 1)


figg['layout'].update( annotations=[dict(x = 10,y = 0.2,  text= rms_test, xref= "x1",yref="y1")]  )
figg['layout'].update(height=1800, width=600, title='Testing')
pyo.iplot(figg)

这不起作用,尽管给出的答案 这里 似乎对其他人有用.谁能指出我做错了什么?我为重现性生成了假日期

This does not work, although the answer given here seems to work for others. Can anyone point out what wrong am I doing? I generated fake date for reproducibility


解决方案

我不确定 RMS 值的准确位置,但下面是一个示例代码,可以帮助您实现您想要的.

I am not sure where to exactly place the RMS value, but below is a sample code which will help you achieve what you want.

我们创建一个数组annotation_arr,我们使用for循环在其中存储注释.

We create an array annotation_arr where we store the annotations using the for loop.

我们需要为每个单独的轴设置 xvalyval.请记住,第一个轴是 x,第二个是 x2 所以,我为此写了一个三元条件,请查看下面的代码,如果有的话请告诉我问题!

We need to set the xval and yval for each of the individual axes. Remember, first axis will be x, second will be x2 so, I have written a ternary condition for that, please checkout the below code and let me know if there is any issues!

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot
from plotly import tools
import numpy as np
import pandas as pd
init_notebook_mode(connected=True)
rows = 4
figg = tools.make_subplots(rows=rows, cols=1)

fake_date = {"X":   np.arange(0, 100, 0.5), "Y": [np.sin(x) for x in range(200)], "Z": [x + 1 for x in range(10)] * 20}
fake_date = pd.DataFrame(fake_date)
fake_date.sort_values("Z")

unique_ids = fake_date['Z'].unique()
train_id, test_id = np.split(np.random.permutation(unique_ids), [int(.6 * len(unique_ids))])
top = 0
annotation_arr = []
for i, j in enumerate(test_id):

    x_test = fake_date[fake_date['Z'].isin([test_id[i]])] 
    y_test = fake_date[fake_date['Z'].isin([test_id[i]])]


    # Evaluate 
    rms_test = 0.04
    r_test = 0.9



    Real = {'type' : 'scatter',
                     'x' : x_test.X,
                     'y' : x_test.Y,
                "mode" : 'lines+markers', 
                "name" : 'Real'}


    top = top + 1/rows
    i_val = "" if i == 0 else i + 1
    annotation_arr.append(dict(x = r_test,y = top,  text= rms_test, xref= "x"+str(i_val),yref="y"+str(i_val)))
    figg.append_trace(Real, i+1, 1)


figg['layout'].update( annotations=annotation_arr  )
figg['layout'].update(height=1800, width=600, title='Testing')
iplot(figg)

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