Login Register

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 full documentation.

See also

MaskedArray.reshape: equivalent function

Links:

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

doc_NumPy

2017-01-10 18:15:46

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.ma.average() numpy.ma.average(a, axis=None, weights=None, returned=False) [source] Return the weighted average of array over the given axis. Parameters: a :

numpy.ma.zeros() numpy.ma.zeros(shape, dtype=float, order='C') = Return a new array of given shape and type, filled with zeros. Parameters: shape : int or seque

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.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