Take log values on multiple columns DataFrame

Question

I need to take log values of each element of a column in a DataFrame.Also i want to add the resulted column to the previous dataframe.

This is my dataframe

df1=pd.read_csv('doctors.csv',encoding='latin-1')

These are the columns

Index(['PatientID', 'Pregnancies', 'PlasmaGlucose', 'DiastolicBloodPressure',
       'TricepsThickness', 'SerumInsulin', 'BMI', 'DiabetesPedigree', 'Age',
       'Diabetic', 'Physician'],
      dtype='object')

I want to form a new column of logarithmic values for 'Age' column.

Can yo uadd data sample?

jezrael
– jezrael

2018-07-05 07:41:52 +00:00
Commented Jul 5, 2018 at 7:41 — jezrael
– jezrael, Commented Jul 5, 2018 at 7:41

jezrael · Accepted Answer · 2018-07-05 07:43:33Z

1

I believe need numpy.log10:

df = pd.DataFrame({'Age':[10,22,33,44,34,56,34]})
df['log'] = np.log10(df['Age'])
print (df)
   Age       log
0   10  1.000000
1   22  1.342423
2   33  1.518514
3   44  1.643453
4   34  1.531479
5   56  1.748188
6   34  1.531479

answered Jul 5, 2018 at 7:43

jezrael

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