: 必须在尝试使用 to_dict 时才通过布尔值传递 DataFrame答案

【问题标题】：: Must pass DataFrame with boolean values only while trying to use to_dict: 必须在尝试使用 to_dict 时才通过布尔值传递 DataFrame
【发布时间】：2018-05-07 16:40:37
【问题描述】：

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' )

运行后出现错误，请帮助或提供建议：

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

【问题讨论】：

标签： python pandas prediction

【解决方案1】：

你需要改变：

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

到：

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

因为如果按双精度选择 [] 被称为子集并返回过滤后的 DataFrame，而不是列名。

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' )

【讨论】：

@kkAsh - 欢迎您！如果我的回答有帮助，请不要忘记 accept 它 - 单击答案旁边的复选标记，将其从灰色切换为已填充。谢谢。
我做到了我最近创建了帐户它确实允许我刚刚接受它谢谢。