Login Register

numpy.ma.mr_

numpy.ma.mr_ =

Translate slice objects to concatenation along the first axis.

This is the masked array version of lib.index_tricks.RClass.

See also

lib.index_tricks.RClass

Examples

>>> np.ma.mr_[np.ma.array([1,2,3]), 0, 0, np.ma.array([4,5,6])]
array([1, 2, 3, 0, 0, 4, 5, 6])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.mr_.html

doc_NumPy

2017-01-10 18:15:41

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.ma.std() numpy.ma.std(self, axis=None, dtype=None, out=None, ddof=0) = Compute the standard deviation along the specified axis. Returns the standard devi

numpy.ma.argmax() numpy.ma.argmax(a, axis=None, fill_value=None) [source] Returns array of indices of the maximum values along the given axis. Masked values are tr

numpy.ma.argmin() numpy.ma.argmin(a, axis=None, fill_value=None) [source] Return array of indices to the minimum values along the given axis. Parameters: axis : {

numpy.ma.min() numpy.ma.min(obj, axis=None, out=None, fill_value=None) [source] Return the minimum along a given axis. Parameters: axis : {None, int}, optional

numpy.ma.reshape() numpy.ma.reshape(a, new_shape, order='C') [source] Returns an array containing the same data with a new shape. Refer to MaskedArray.reshape for f