maxframe.liteframe.LiteFrame.std#
- LiteFrame.std(method='auto', numeric_only=None, **kw)#
Return the sample standard deviation of each column.
- Parameters:
method ({'auto', 'tree', 'shuffle'}, default 'auto') – Execution strategy.
'auto'selects based on data size.numeric_only (bool, optional) – When True, restrict to numeric columns. By default None.
**kw – Additional keyword arguments forwarded to the reduction.
- Returns:
Single-row LiteFrame of per-column standard deviations.
- Return type:
Examples
>>> import maxframe.liteframe as mlf >>> lf = mlf.LiteFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) >>> result = lf.std() >>> result.execute() a b 0 1.000000 1.000000