#Решение прошло

 

import pandas as pd

logs = pd.read_csv('/datasets/logs.csv')

logs['email'] = logs['email'].fillna(value='')

logs.loc[logs['source'] == 'None', 'source'] = 'email'

print(logs['source'].value_counts())

 

other      133834

context     52032

email       13953

undef         181

Name: source, dtype: int64

 

 

#Решение не прошло

 

import pandas as pd

logs = pd.read_csv('/datasets/logs.csv')

logs['email'] = logs['email'].fillna(value='')

logs['source'].loc[logs['source'] == 'None'] = 'email'

print(logs['source'].value_counts())

 

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

  self._setitem_single_block(indexer, value, name)

other      133834

context     52032

email       13953

undef         181

Name: source, dtype: int64