I have this pandas dataframe:
custid age income gen wp mp lip CustAtt 0 101 45 $45K Male No Yes No 1 106 40 $39K Female Yes Yes Yes 2 111 42 $46K Male No No No 3 116 43 $36K Male Yes Yes Yes 4 121 38 $59K Female No Yes Yes 5 126 55 $28K Female No No No 6 131 35 $35K Male No Yes Yes 7 136 27 $26K Male Yes No No 8 141 43 $36K Male No Yes No 9 146 41 $38K Female Yes Yes No
And what I want to do is use apply() with a function to convert all the data to lowercase. I couldn’t find anything on the internet showing how to do this, I am currently stuck with this.
def low(x): return x.lower() df.apply(low)
however it gives me error that series object has no attribute lower. Any help greatly appreciated! Thanks!
That’s because column custid and age have a integer values. Integer value doesn’t have lower() function.
For example, if you want to change gen’s data to a lower case, you can implement it like below.
df["gen"] = df["gen"].apply(low)