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Pandas DataFrame dot() Method

❮ DataFrame Reference


Example

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))
Try it Yourself »

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.

Example Explained:

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]]

Syntax

dataframe.dot(other)

Parameters

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

Return Value

A DataFrame with the results.


❮ DataFrame Reference