Pandas replace all values in certain Column

Asked Aug 10 '16 at 11:40

Active Apr 15 '18 at 08:36

Viewed 119 times

I want to replace all values in a certain column,

for example this is my dataframe

Label  A  B C
 1     2  3 4
 2     3  2 1
 4     4  4 4

I want to replace all values in Column C with another value, for example "NaN"

To do this, do I need to use something like .ix or .iloc ?

I tried this rem = df.ix[df.C!='NaN'] = 'NaN' , but it just returned a string "NaN"

edited Apr 15 '18 at 08:36

Cœur

asked Aug 10 '16 at 11:40

gbhrea

you can simply do `df.C.fillna(value)`. – shivsn Aug 10 '16 at 11:40
In your example `C` is a column, not a row. Do you want to replace in a row as your title states or in a column as your example shows? – Fabian Rost Aug 10 '16 at 11:59
@FabianRost yes sorry it should be column - question is marked as duplicate - found my answer in other question posted. – gbhrea Aug 10 '16 at 13:16

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