Masked array operations

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numpy.ma.column_stack()

numpy.ma.column_stack(tup) = Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack

2017-01-10 18:15:07

MaskedArray.tolist()

MaskedArray.tolist(fill_value=None)

2017-01-10 18:10:25

numpy.ma.concatenate()

numpy.ma.concatenate(arrays, axis=0)

2017-01-10 18:15:09

numpy.ma.where()

numpy.ma.where(condition, x=, y=)

2017-01-10 18:15:54

numpy.ma.clip()

numpy.ma.clip(a, a_min, a_max, out=None)

2017-01-10 18:15:05

numpy.ma.sum(self, axis=None, dtype=None, out=None) = Return the sum of the array elements over the given axis. Masked elements are

2017-01-10 18:15:51

MaskedArray.count()

MaskedArray.count(axis=None)

2017-01-10 18:10:03

numpy.ma.power()

numpy.ma.power(a, b, third=None)

2017-01-10 18:15:45

numpy.ma.masked_outside()

numpy.ma.masked_outside(x, v1, v2, copy=True)

2017-01-10 18:15:36

numpy.ma.dstack()

numpy.ma.dstack(tup) = Stack arrays in sequence depth wise (along third axis). Takes a sequence of arrays and stack them

2017-01-10 18:15:14

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