numpy.ma.count()

numpy.ma.count(a, axis=None) [source]

Count the non-masked elements of the array along the given axis.

Parameters:

Parameters:	axis : int, optional Axis along which to count the non-masked elements. If `axis` is `None`, all non-masked elements are counted.
Returns:	result : int or ndarray If `axis` is `None`, an integer count is returned. When `axis` is not `None`, an array with shape determined by the lengths of the remaining axes, is returned.

axis : int, optional

Axis along which to count the non-masked elements. If axis is None, all non-masked elements are counted.

Returns:

result : int or ndarray

If axis is None, an integer count is returned. When axis is not None, an array with shape determined by the lengths of the remaining axes, is returned.

Examples

>>> import numpy.ma as ma
>>> a = ma.arange(6).reshape((2, 3))
>>> a[1, :] = ma.masked
>>> a
masked_array(data =
 [[0 1 2]
 [-- -- --]],
             mask =
 [[False False False]
 [ True  True  True]],
       fill_value = 999999)
>>> a.count()
3

When the axis keyword is specified an array of appropriate size is returned.

>>> a.count(axis=0)
array([1, 1, 1])
>>> a.count(axis=1)
array([3, 0])

Links:

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

doc_NumPy

2017-01-10 18:15:11

Comments