: 必须仅在尝试使用 to_dict 时通过布尔值传递 DataFrame

Question

import pandas as pd
dataset = "C:/Users/ashik swaroop/Desktop/anaconda/Gene Dataset/acancergenecensus.csv"
datacan = pd.read_csv(dataset)
datacan = datacan.fillna(0)
cols_to_retain = datacan[[ "Tumour_Types_Somatic","Tumour_Types_Germline","Mutation_Types","Tissue_Type"]]
cat_dict = datacan[ cols_to_retain ].to_dict( orient = 'records' )

在运行之后出现错误，请帮助或提出建议：

cat_dict = datacan[ cols_to_retain ].to_dict( orient = 'records' )
Traceback (most recent call last):

  File "<ipython-input-47-dde9a2c1af34>", line 1, in <module>
    cat_dict = datacan[ cols_to_retain ].to_dict( orient = 'records' )

  File "C:\Users\ashik swaroop\Anaconda2\lib\site-packages\pandas\core\frame.py", line 2055, in __getitem__
    return self._getitem_frame(key)

  File "C:\Users\ashik swaroop\Anaconda2\lib\site-packages\pandas\core\frame.py", line 2130, in _getitem_frame
    raise ValueError('Must pass DataFrame with boolean values only')

ValueError: Must pass DataFrame with boolean values only

Answer 1

您需要零钱：

cols_to_retain = datacan[[ "Tumour_Types_Somatic","Tumour_Types_Germline","Mutation_Types","Tissue_Type"]]
cat_dict = datacan[ cols_to_retain ].to_dict( orient = 'records' )

至：

cols_to_retain = [ "Tumour_Types_Somatic","Tumour_Types_Germline","Mutation_Types","Tissue_Type"]
cat_dict = datacan[ cols_to_retain ].to_dict( orient = 'records' )

因为如果 select by double [] 被称为子集并且 return 被过滤 DataFrame，而不是列名称。

另一种可能的解决方案是：

df = datacan[[ "Tumour_Types_Somatic","Tumour_Types_Germline","Mutation_Types","Tissue_Type"]]

cat_dict = df.to_dict( orient = 'records' )

: 必须仅在尝试使用 to_dict 时通过布尔值传递 DataFrame

: Must pass DataFrame with boolean values only while trying to use to_dict

python

prediction

pandas