Pandas dataframe :convert the numeric value to 2 to power of numeric value-CodePudding

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How do i get this 2^ value in another col of a df

i need to calculate 2^ value is there a easy way to do this

Value	2^Value
0	1
1	2

CodePudding user response：

You can use

CodePudding user response：

Using rpow:

df['2^Value'] = df['Value'].rpow(2)

Output:

   Value  2^Value
0      0        1
1      1        2
2      2        4
3      3        8
4      4       16

CodePudding user response：

You can use .apply with a lambda function

df["new_column"] = df["Value"].apply(lambda x: x**2)

In python the power operator is **

CodePudding user response：

You can apply a function to each row in a dataframe by using the df.apply method. See this documentation to learn how the method is used. Here is some untested code to get you started.

# a simple function that takes a number and returns
# 2^n of that number
def calculate_2_n(n):
    return 2**n

# use the df.apply method to apply that function to each of the 
# cells in the 'Value' column of the DataFrame
df['2_n_value'] = df.apply(lambda row : calculate_2_n(row['Value']), axis = 1)

This code is a modified version of the code from this G4G example