Exponential of a column in pandas python is carried out using exp() function of numpy. Let’s see how to
- Get the exponential value of a column in pandas python.
With an example First let’s create a dataframe.
import pandas as pd
import numpy as np
#Create a DataFrame
df1 = {
'Name':['George','Andrea','micheal','maggie','Ravi','Xien','Jalpa'],
'University_Rank':[6,47,21,74,32,77,8]}
df1 = pd.DataFrame(df1,columns=['Name','University_Rank'])
print(df1)
df1 will be
Exponential value of a column in pandas
Exponential value of the column (University_Rank) is computed using exp() and stored in a new column namely “exp_value” as shown below
df1['exp_value'] = np.exp(df1['University_Rank']) print(df1)
so the resultant dataframe will be
