pandas.Series.all

Return whether all elements are True, potentially over an axis.

Returns True unless there at least one element within a series or along a Dataframe axis that is False or equivalent (e.g. zero or 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 True, 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 scalar. **kwargs : any, default None Additional keywords have no effect but might be accepted for compatibility with NumPy.

return

scalar or Series If level is specified, then, Series is returned; otherwise, scalar is returned.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler