bolt/spark/array.py
def std(self, axis=None, keepdims=False):
        """
        Return the standard deviation of the array over the given axis.

        Parameters
        ----------
        axis : tuple or int, optional, default=None
            Axis to compute statistic over, if None
            will compute over all axes

        keepdims : boolean, optional, default=False
            Keep axis remaining after operation with size 1.
        """
        return self._stat(axis, name='stdev', keepdims=keepdims)
def std(self, axis=None, keepdims=False):
        """
        Return the standard deviation of the array over the given axis.

        Parameters
        ----------
        axis : tuple or int, optional, default=None
            Axis to compute statistic over, if None
            will compute over all axes

        keepdims : boolean, optional, default=False
            Keep axis remaining after operation with size 1.
        """
        return self._stat(axis, name='stdev', keepdims=keepdims)
def std ( self , axis = None , keepdims = False ) : return self . _stat ( axis , name = 'stdev' , keepdims = keepdims )
Return the standard deviation of the array over the given axis.

        Parameters
        ----------
        axis : tuple or int, optional, default=None
            Axis to compute statistic over, if None
            will compute over all axes

        keepdims : boolean, optional, default=False
            Keep axis remaining after operation with size 1.
Return the standard deviation of the array over the given axis .