I'm trying to set the entire column of a dataframe to a specific value.
In : df
0 001 xxx
1 002 xxx
2 003 xxx
3 004 xxx
4 005 xxx
From what I've seen, loc is the best practice when replacing values in a dataframe (or isn't it?):
In : df.loc[:,'industry'] = 'yyy'
However, I still received this much-talked-about warning message:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_index,col_indexer] = value instead
If I do
In : df['industry'] = 'yyy'
I got the same warning message.
Any ideas? Working with Python 3.5.2 and pandas 0.18.1.