Login Register

numpy.ma.dump()

numpy.ma.dump(a, F) [source]

Pickle a masked array to a file.

This is a wrapper around cPickle.dump.

Parameters:

a : MaskedArray

The array to be pickled.

F : str or file-like object

The file to pickle a to. If a string, the full path to the file.

Links:

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

doc_NumPy

2017-01-10 18:15:14

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.ma.dumps() numpy.ma.dumps(a) [source] Return a string corresponding to the pickling of a masked array. This is a wrapper around cPickle.dumps. Parameters:

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