Pandas DataFrame dot() Method

Multiply values from one DataFrame with values from another DataFrame, and add them together:

import pandas as pd

df1 = pd.DataFrame([[1, 2], [3, 4]])
df2 = pd.DataFrame([[5, 6], [7, 8]])

print(df1.dot(df2))

Definition and Usage

The dot() method multiplies each value from one DataFrame with the values from another DataFrame (or Series or array), and adds them together.

Assume you have these two DataFrame objects:

[[1, 2], [3, 4]]

[[5, 6], [7, 8]]

Multiply the values from the first DataFrame with the values from the second DataFrame, one by one like this:

1 * 5 = 5
2 * 7 = 14

Summarize the two products:

5 + 14 = 19

19 will be the first value in the result.

Here you can see the calculation for each value in the result:

(1 * 5) + (2 * 7) = 19
(1 * 6) + (2 * 8) = 22
(3 * 5) + (4 * 7) = 43
(3 * 6) + (4 * 8) = 50

which will result in a DataFrame object like this::

[[19, 22], [43, 50]]

dataframe.dot(other)

Parameter	Description
other	Required. A number, list of numbers, or another object with a data structure that fits with the original DataFrame.

A DataFrame with the results.