提取特征时tsfresh类型错误(Python)

Question

当使用 tsfresh 提取相关特征时，我遇到了一个与类型有关的错误，但是我不知道为什么，因为数据是作为 tsfresh 要求的 DataFrame 构建的。任何有关此事的帮助都将非常有用，谢谢！

提取特征的代码：

import pandas as pd
from tsfresh import extract_relevant_features as erf

features = erf(gathered_data,"flux", column_id = "ids",column_sort = "phase")

数据框：

        ids     phase      flux
0    5675.0  0.000309  0.953494
1    5675.0  0.004631  0.987416
2    5675.0  0.005644  0.975253
3    5675.0  0.006582  0.978103
4    5675.0  0.007492  0.978654
5    5675.0  0.008450  0.967306
6    5675.0  0.009491  0.966675
7    5675.0  0.014796  0.973056
8    5675.0  0.015579  0.960849
9    5675.0  0.016254  0.963274
10   5675.0  0.017343  0.960005
11   5675.0  0.018439  0.962337
12   5675.0  0.019481  0.974755
13   5675.0  0.024558  0.971611
14   5675.0  0.025262  0.972203
15   5675.0  0.026529  0.973336
16   5675.0  0.027216  0.978327
17   5675.0  0.028310  0.976190
18   5675.0  0.033552  0.972871
19   5675.0  0.034512  0.976207
20   5675.0  0.035494  0.975664
21   5675.0  0.037345  0.969312
22   5675.0  0.038524  0.964423
23   5675.0  0.043678  0.963922
24   5675.0  0.044833  0.970770
25   5675.0  0.045642  0.954368
26   5675.0  0.046471  0.967965
27   5675.0  0.047680  0.962106
28   5675.0  0.053614  0.962091
29   5675.0  0.055518  0.971543

错误：

TypeError: The type of target vector y must be one of: pandas.Series, numpy.ndarray

Answer 1

尝试将 y 向量转换为索引与 x 向量匹配的序列

y = pd.Series(gathered_data['flux'], index=gathered_data.ids)

提取特征时tsfresh类型错误(Python)

tsfresh type error when extracting features (Python)

python

types

extract

dataframe