numpy.ma.MaskedArray.ravel#
method
- ma.MaskedArray.ravel(order='C')[source]#
Returns a 1D version of self, as a view.
- Parameters:
- order{‘C’, ‘F’, ‘A’, ‘K’}, optional
The elements ofa are read using this index order. ‘C’ means toindex the elements in C-like order, with the last axis indexchanging fastest, back to the first axis index changing slowest.‘F’ means to index the elements in Fortran-like index order, withthe first index changing fastest, and the last index changingslowest. Note that the ‘C’ and ‘F’ options take no account of thememory layout of the underlying array, and only refer to the orderof axis indexing. ‘A’ means to read the elements in Fortran-likeindex order ifm is Fortrancontiguous in memory, C-like orderotherwise. ‘K’ means to read the elements in the order they occurin memory, except for reversing the data when strides are negative.By default, ‘C’ index order is used.(Masked arrays currently use ‘A’ on the data when ‘K’ is passed.)
- Returns:
- MaskedArray
Output view is of shape
(self.size,)(or(np.ma.product(self.shape),)).
Examples
>>>importnumpyasnp>>>x=np.ma.array([[1,2,3],[4,5,6],[7,8,9]],mask=[0]+[1,0]*4)>>>xmasked_array( data=[[1, --, 3], [--, 5, --], [7, --, 9]], mask=[[False, True, False], [ True, False, True], [False, True, False]], fill_value=999999)>>>x.ravel()masked_array(data=[1, --, 3, --, 5, --, 7, --, 9], mask=[False, True, False, True, False, True, False, True, False], fill_value=999999)