Let’s see how to find Exponential of a column in Pandas Dataframe. First, let’s create a Dataframe:
Python3
# importing pandas and # numpy librariesimport pandas as pdimport numpy as np # creating and initializing a listvalues= [ ['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 dataframedf = pd.DataFrame(values, columns = ['Name', 'University_Rank', 'University_Marks'])# displaying the data framedf |
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 librariesimport pandas as pdimport numpy as np # creating and initializing a listvalues= [ ['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 dataframedf = pd.DataFrame(values, columns = ['Name', 'University_Rank', 'University_Marks'])# finding the exponential value # of column using np.exp() functiondf['exp_value'] = np.exp(df['University_Rank'])# displaying the data framedf |
Output:
Example 2: Finding exponential of the single column (Float values).
Python3
# importing pandas and # numpy librariesimport pandas as pdimport numpy as np # creating and initializing a listvalues= [ ['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 dataframedf = pd.DataFrame(values, columns = ['Name', 'University_Rank', 'University_Marks'])# finding the exponential value # of column using np.exp() functiondf['exp_value'] = np.exp(df['University_Marks'])# displaying the data framedf |
Output:
