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Find Exponential of a column in Pandas-Python
• Last Updated : 18 Aug, 2020

Let’s see how to find Exponential of a column in Pandas Dataframe. First, let’s create a Dataframe:

## Python3

 `# importing pandas and ``# numpy libraries``import` `pandas as pd``import` `numpy as np``  ` `# creating and initializing a list``values``=` `[ [``'Rohan'``, ``5``, ``50.59``], [``'Elvish'``, ``2``, ``90.57``],``         ``[``'Deepak'``, ``10``, ``98.51``], [``'Soni'``, ``4``, ``40.24``], ``         ``[``'Radhika'``, ``1``, ``99.05``], [``'Vansh'``, ``15``, ``85.56``] ] `` ` `# creating a pandas dataframe``df ``=` `pd.DataFrame(values, columns ``=` `[``'Name'``, ``                                     ``'University_Rank'``, ``                                     ``'University_Marks'``])`` ` `# displaying the data frame``df`

Output: The exponential of any column is found out by using numpy.exp() function. This function calculates the exponential of the input array/Series.

Syntax: numpy.exp(array, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None)

Return: An array with exponential of all elements of input array/Series.

Example 1: Finding exponential of the single column (integer values).

## Python3

 `# importing pandas and ``# numpy libraries``import` `pandas as pd``import` `numpy as np``  ` `# creating and initializing a list``values``=` `[ [``'Rohan'``, ``5``, ``50.59``], [``'Elvish'``, ``2``, ``90.57``],``         ``[``'Deepak'``, ``10``, ``98.51``], [``'Soni'``, ``4``, ``40.24``], ``         ``[``'Radhika'``, ``1``, ``99.05``], [``'Vansh'``, ``15``, ``85.56``] ] `` ` `# creating a pandas dataframe``df ``=` `pd.DataFrame(values, columns ``=` `[``'Name'``, ``                                     ``'University_Rank'``, ``                                     ``'University_Marks'``])`` ` `# finding the exponential value ``# of cloumn using np.exp() function``df[``'exp_value'``] ``=` `np.exp(df[``'University_Rank'``])`` ` `# displaying the data frame``df`

Output: Example 2: Finding exponential of the single column (Float values).

## Python3

 `# importing pandas and ``# numpy libraries``import` `pandas as pd``import` `numpy as np``  ` `# creating and initializing a list``values``=` `[ [``'Rohan'``, ``5``, ``50.59``], [``'Elvish'``, ``2``, ``90.57``],``         ``[``'Deepak'``, ``10``, ``98.51``], [``'Soni'``, ``4``, ``40.24``], ``         ``[``'Radhika'``, ``1``, ``99.05``], [``'Vansh'``, ``15``, ``85.56``] ] `` ` `# creating a pandas dataframe``df ``=` `pd.DataFrame(values, columns ``=` `[``'Name'``, ``                                     ``'University_Rank'``, ``                                     ``'University_Marks'``])`` ` `# finding the exponential value ``# of cloumn  using np.exp() function``df[``'exp_value'``] ``=` `np.exp(df[``'University_Marks'``])`` ` `# displaying the data frame``df`

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