A MaskedIterator
iterator is returned by x.flat
for any masked array :None:None:`x`. It allows iterating over the array as if it were a 1-D array, either in a for-loop or by calling its :None:None:`next` method.
Iteration is done in C-contiguous style, with the last index varying the fastest. The iterator can also be indexed using basic slicing or advanced indexing.
MaskedIterator
is not exported by the ma
module. Instead of instantiating a MaskedIterator
directly, use :None:None:`MaskedArray.flat`.
Flat iterator object to iterate over masked arrays.
MaskedArray.flat
Return a flat iterator over an array.
MaskedArray.flatten
Returns a flattened copy of an array.
>>> x = np.ma.array(arange(6).reshape(2, 3))This example is valid syntax, but we were not able to check execution
... fl = x.flat
... type(fl) <class 'numpy.ma.core.MaskedIterator'>
>>> for item in fl:
... print(item) ... 0 1 2 3 4 5
Extracting more than a single element b indexing the MaskedIterator
returns a masked array:
>>> fl[2:4] masked_array(data = [2 3], mask = False, fill_value = 999999)See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.MaskedIterator
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