# pandas.DataFrame.any¶

Return whether any element is True, potentially over an axis.

Returns False unless there at least one element within a series or along a Dataframe axis that is True or equivalent (e.g. non-zero or non-empty).

- param axis
- {0 or ‘index’, 1 or ‘columns’, None}, default 0
Indicate which axis or axes should be reduced.

- 0 / ‘index’reduce the index, return a Series whose index is the
original column labels.

- 1 / ‘columns’reduce the columns, return a Series whose index is the
original index.

None : reduce all axes, return a scalar.

- param bool_only
- bool, default None
Include only boolean columns. If None, will attempt to use everything, then use only boolean data. Not implemented for Series.

- param skipna
- bool, default True
Exclude NA/null values. If the entire row/column is NA and skipna is True, then the result will be False, as for an empty row/column. If skipna is False, then NA are treated as True, because these are not equal to zero.

- param level
- int or level name, default None
If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series. **kwargs : any, default None Additional keywords have no effect but might be accepted for compatibility with NumPy.

- return
Series or DataFrame If level is specified, then, DataFrame is returned; otherwise, Series is returned.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler