I\'m trying to set the entire column of a dataframe to a specific value.
In [1]: df
Out [1]:
issueid industry
0 001 xxx
1 002
Python can do unexpected things when new objects are defined from existing ones. You stated in a comment above that your dataframe is defined along the lines of df = df_all.loc[df_all['issueid']==specific_id,:]. In this case, df is really just a stand-in for the rows stored in the df_all object: a new object is NOT created in memory.
To avoid these issues altogether, I often have to remind myself to use the copy module, which explicitly forces objects to be copied in memory so that methods called on the new objects are not applied to the source object. I had the same problem as you, and avoided it using the deepcopy function.
In your case, this should get rid of the warning message:
from copy import deepcopy
df = deepcopy(df_all.loc[df_all['issueid']==specific_id,:])
df['industry'] = 'yyy'
EDIT: Also see David M.'s excellent comment below!
df = df_all.loc[df_all['issueid']==specific_id,:].copy()
df['industry'] = 'yyy'