On this page
pandas.DataFrame.count
DataFrame.count(axis=0, level=None, numeric_only=False)
[source]-
Return Series with number of non-NA/null observations over requested axis. Works with non-floating point data as well (detects NaN and None)
Parameters: axis : {0 or ‘index’, 1 or ‘columns’}, default 0
0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise
level : int or level name, default None
If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame
numeric_only : boolean, default False
Include only float, int, boolean data
Returns: count : Series (or DataFrame if level specified)
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.count.html