小编mak*_*yed的帖子

样本数据框

     v1 v2  v3  v4  v5  v6
index                                                                   
0   -2  -2  -2  NaN -2  -2
1   -2  -2  -2  NaN -2  -2
2   -2  -2  -2  NaN -2  -2
3   -2  -2  -2  -2  -2  -2
4   -2  -2  -2  NaN -2  -2

我正在尝试将数据帧更改为字典，并且我想忽略 json 文档中的“nan”字段

我正在尝试什么：

import pandas as pd
pd.DataFrame((samp.to_dict('index')).items())

期望的输出：

index    values
0   {'v1':'-2', 'v2':'-2','v3':'-2','v5':'-2','v6':'-2'}
1   {'v1':'-2', 'v2':'-2','v3':'-2','v5':'-2','v6':'-2'}
2   {'v1':'-2', 'v2':'-2','v3':'-2','v5':'-2','v6':'-2'}
3   {'v1':'-2', 'v2':'-2','v3':'-2','v4':'-2','v5':'-2','v6':'-2'}
4   {'v1':'-2', 'v2':'-2','v3':'-2','v5':'-2','v6':'-2'}

下面的数据存在于“ examSheet”集合中

{"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_T", "marks":[{"p":"45","m":"40","c":"50"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_P", "marks":[{"p":"40","m":"28","c":"38"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"annual_T", "marks":[{"p":"40","m":"50","c":"48"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"annual_P", "marks":[{"p":"45","m":"42","c":"18"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"halfyr_T", "marks":[{"p":"25","m":"30","c":"50"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"halfyr_P", "marks":[{"p":"41","m":"48","c":"28"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"annual_T", "marks":[{"p":"30","m":"48","c":"24"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"annual_P", "marks":[{"p":"35","m":"08","c":"38"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"halfyr_T","marks":[{"p":"45","m":"40","c":"50"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"halfyr_P", "marks": [{"p":"40","m":"28","c":"38"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"annual_T", "marks": [{"p":"40","m":"50","c":"48"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"annual_P", "marks": [{"p":"45","m":"42","c":"18"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"halfyr_T", "marks": [{"p":"25","m":"30","c":"50"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"halfyr_P", "marks": [{"p":"41","m":"48","c":"28"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"annual_T", …