Pandas DataFrame.count()

The Pandas count() is defined as a method that is used to count the number of non-NA cells for each column or row. It is also suitable to work with the non-floating data.

Syntax:

Parameters:

• axis: {0 or ‘index’, 1 or ‘columns’}, default value 0
  0 or ‘index’ is used for row-wise, whereas 1 or ‘columns’ is used for column-wise.
• level: int or str
  It is an optional parameter. If an axis is hierarchical, it counts along with the particular level and collapsing into the DataFrame.
• numeric_only: bool, default value False
  It only includes int, float, or Boolean data.

Returns:

It returns the count of Series or DataFrame if the level is specified.

Example 1: The below example demonstrates the working of the count().

Output

Person    5  Age       3  dtype: int64  

Example 2: If we want to count for each of the row, we can use the axis parameter. The below code demonstrates the working of the axis parameter.

Output

0       2  1       2  2       1  3       2  dtype: int64