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Pandas DataFrame: count() function

DataFrame - count() function

The count() function is used to count non-NA cells for each column or row.

The values None, NaN, NaT, and optionally numpy.inf (depending on pandas.options.mode.use_inf_as_na) are considered NA.

Syntax:

DataFrame.count(self, axis=0, level=None, numeric_only=False)

Parameters:

Name Description Type/Default Value Required / Optional
axis       If 0 or ‘index’ counts are generated for each column. If 1 or ‘columns’ counts are generated for each row {0 or ‘index’, 1 or ‘columns’}
Default Value: 0		 Required
level      If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame. A str specifies the level name. int or str Optional
numeric_only  Include only float, int or boolean data. bool
Default Value: False		  

Returns: Series or DataFrame
For each column/row the number of non-NA/null entries. If level is specified returns a DataFrame.

Example:


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