Pandas Dataframe.dot() works similarly to the mul () method, but instead of returning the multiplied individual values, the Dot product is returned (the sum of the multiplication of values ​​for each index).

Syntax: Series.dot (other)
Parameters:
other: Other Series to be used to calculate DOT product

Return type: Series with updated values ​​

Example # 1:
This example creates two series from Python lists using the Pandas Series () method. Then the method for series1 is called and series2 is passed as a parameter. The result is then stored in a variable and displayed.

# pandas module import import pandas as pd    # numpy module import import numpy as np    # create series 1 series1 = pd.Series ([ 7 , 5 , 6 , 4 , 9 ])     # creating series 2 series2 = pd.Series ([ 1 , 2 , 3 , 10 , 2 ])    # saving in a new variable # calling the .dot () method ans = series1.dot (series2)   # display print ( `Dot product = {}` . format (ans))

Exit :

 Dot product = 93 

Explanation —
The items in the caller series are multiplied by the items with the same index in the skipped series. All of the multiplied values ​​are then added to get the dot product. 
As in the above example, the series:

 [7, 5, 6, 4, 9] [1, 2, 3, 10, 2] Dot product = 7 * 1 + 5 * 2 + 6 * 3 + 4 * 10 + 9 * 2 = 7 + 10 + 18 + 40 + 18 = 93 

Note. If there is any -or Null, the net result is NaN. NaN values ​​should be dropped / replaced using fillna () respectively.