Trusted answers to developer questions

Fouzia Bashir

The **dot()**** method **is used to compute the dot product between `DataFrames`

or `Series`

. `DataFrame.dot()`

from `DataFrame`

class is used to take the dot product of two `DataFrames`

or `DataFrame`

and `Series`

.

Note:A

`dot()`

works like a`mul()`

function, but instead of returning multiplication separately, it returns the sum of multiplied values at each row or index.

# Signature DataFrame.dot(other)

It takes the following argument value:

: Another object of**other**`DataFrame`

or`Series`

or array-like to compute dot product.

It returns either `Series`

or `DataFrame`

.

- If
`other`

is`Series`

, it returns`series`

after simple matrix dot product. - If
`other`

is`DataFrame`

, it returns`DataFrame`

after dot product.

Let's discuss different scenarios with some coding examples. Here we have listed some commonly used cases:

- Only
`DataFrames`

`DataFrame`

and`Series`

In this code, we'll take two `DataFrame`

of the same dimensions and evaluate their dot product.

# importing pandas module as alias pd import pandas as pd # Creating a DataFrame df1 = pd.DataFrame([[0, 1, -2, -1], [0, 1, None, 1], [1, 3, 1, -1], [1, 1, 6, 1]]) # Creating a DataFrame df2 = pd.DataFrame([[5, 3, 6, 4], [11, 3, 4, 3], [4, 3, 8, 3], [5, None, 2, 8]]) # Calculating dot product print(df1.dot(df2))

- Lines 4 to 7: We create a numeric
`DataFrame`

`df1`

that contains fourobservations. Number of rows - Lines 9 to 12: We create a numeric
`DataFrame`

`df2`

that contains four observations. - Line 14: We invoke
`df1.dot(df2)`

to evaluate dot product in return.

In this code snippet, we'll create a pandas `DataFrame`

and `Series`

object to calculate their dot product.

# importing pandas as pd import pandas as pd # Creating the dataframe df = pd.DataFrame([[5, 3, 6, 4], [11, None, 4, 3], [4, 3, 8, None], [5, 4, 2, 8]]) # Creating a series series = pd.Series([1, 1, 2, 1]) # Print the dot product between DataFrame and Series print(df.dot(series))

- Lines 4 to 7: We create a numeric
`DataFrame`

`df`

that contains four observations. - Line 9: We instantiate
`Series`

to get Pandas series object of four values. - Line 11: We invoke
`df.dot(series)`

to get dot product between`DataFrame`

and`series`

.

RELATED TAGS

dot

dataframe

pandas

python

communitycreator

CONTRIBUTOR

Fouzia Bashir

RELATED COURSES

View all Courses

Keep Exploring

Related Courses