How to add specific value in column in in every row in dataframe

Question

here i am trying add (EA) in every record for column 1 is it possible to save value in column 1 like 1.0 Each(EA) followed by 0.0 / 0.001 (EA)...

         df_1
        Out[46]: 
                                              0                      1
        0                       Unit of Measure              Each (EA)
        1                            Conversion               1.0 Each
        2                Net/Gross Weight (lbs)            0.0 / 0.001
        3                     Volume (cubic ft)                    0.0
        4  Shipping Dimensions (inch) L x W x H  0.589 x 0.589 x 0.589
        5                                  GTIN                    NaN

Answer 1

Use:

df['1'].apply(lambda x:  str(x) + '(EA)' if '(EA)' not in str(x) else x)

if the name of column not is a str then use:

df[1].apply(lambda x:  str(x) + '(EA)' if '(EA)' not in str(x) else x)

Answer 2

Try this

df['1']=df['1']+ '(EA)'

It will add (EA) to every row except for the row that has NaN

Answer 3

df_1['1'] = df_1['1'] + " (EA)"