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- numpy.ma.MaskType.take
...numpy.ma.MaskType.take...
- numpy.ma.MaskType.take (Python method, in numpy.ma.MaskType.take)
- Constants of the
numpy.mamodule...s transposed. MaskedArray.T View of the transposed array. Item selection and manipulation For array methods that take an axis keyword, it defaults to None. If axis is None, then the array is treated as a 1-D array. Any other value fo...
- Interoperability with NumPy
.... The __array_ufunc__ protocol A universal function (or ufunc for short) is a “vectorized” wrapper for a function that takes a fixed number of specific inputs and produces a fixed number of specific outputs. The output of the ufunc (and it...
- NumPy 1.10.2 Release Notes
...6574 DOC: Release notes for Numpy 1.10.2. gh-6577 BUG: Fix for #6569, allowing build_ext –inplace gh-6579 MAINT: Fix mistake in doc upload rule. gh-6596 BUG: Fix swig for relaxed stride checking. gh-6606 DOC: Update 1.10.2 release notes. gh...
- NumPy 1.11.0 Release Notes
...sis will raise IndexError, e.g., a[..., ...]. Non-integers used as index values will raise TypeError, e.g., in reshape, take, and specifying reduce axis. In a future release the following changes will be made. The rand function exposed in...
- NumPy 1.11.1 Release Notes
...flowError in Python 3.x. in swig interface. #7590 BLD: Fix configparser.InterpolationSyntaxError. #7597 BUG: Make np.ma.take work on scalars. #7608 BUG: linalg.norm(): Don’t convert object arrays to float. #7638 BLD: Correct C compiler cust...
- NumPy 1.12.0 Release Notes
...ple ellipsis raises IndexError, e.g., a[..., ...]. Non-integers used as index values raise TypeError, e.g., in reshape, take, and specifying reduce axis. FutureWarning to changed behavior np.full now returns an array of the fill-value’s...
- NumPy 1.13.0 Release Notes
...supports unevenly spaced data Users can now specify a not-constant spacing for data. In particular np.gradient can now take: A single scalar to specify a sample distance for all dimensions. N scalars to specify a constant sample distance...
- NumPy 1.15.0 Release Notes
...s that correspond to the common elements. np.quantile and np.nanquantile Like np.percentile and np.nanpercentile, but takes quantiles in [0, 1] rather than percentiles in [0, 100]. np.percentile is now a thin wrapper around np.quantile wi...
- NumPy 1.22.0 Release Notes
...64]] numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]] (gh-19879) Improvements ctypeslib.load_library can now take any path-like object All parameters in the can now take any path-like object. This includes the likes of strings, b...
- NumPy 2.0.0 Release Notes
...s and PyArray_GetNumericOps has been expired and the functions removed. (Deprecated in NumPy 1.16) (gh-23998) The fasttake, fastclip, and fastputmask ArrFuncs deprecation is now finalized. The deprecated function fastCopyAndTranspose and...
- numpy.ma.apply_over_axes
...nc is then repeated for each axis in axes, with res as the first argument. Parameters: funcfunctionThis function must take two arguments, func(a, axis). aarray_likeInput array. axesarray_likeAxes over which func is applied; the elements...
- numpy.ma.column_stack
...mn_stack ma.column_stack = <numpy.ma.extras._fromnxfunction_seq object> Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just l...
- numpy.ma.diag
...ag(v, k=0)[source] Extract a diagonal or construct a diagonal array. This function is the equivalent of numpy.diag that takes masked values into account, see numpy.diag for details. See also numpy.diagEquivalent function for ndarrays....
- numpy.ma.dot
...strict=False, out=None)[source] Return the dot product of two arrays. This function is the equivalent of numpy.dot that takes masked values into account. Note that strict and out are in different position than in the method version. In orde...
- numpy.ma.ediff1d
...Compute the differences between consecutive elements of an array. This function is the equivalent of numpy.ediff1d that takes masked values into account, see numpy.ediff1d for details. See also numpy.ediff1dEquivalent function for ndarray...
- numpy.ma.is_mask
...turn True if m is a valid, standard mask. This function does not check the contents of the input, only that the type is MaskType. In particular, this function returns False if the mask has a flexible dtype. Parameters: marray_likeArray to...
- numpy.ma.make_mask
...all its values are False. dtypedtype, optionalData-type of the output mask. By default, the output mask has a dtype of MaskType (bool). If the dtype is flexible, each field has a boolean dtype. This is ignored when m is nomask, in which ca...
- numpy.ma.make_mask_none
...type. Parameters: newshapetupleA tuple indicating the shape of the mask. dtype{None, dtype}, optionalIf None, use a MaskType instance. Otherwise, use a new datatype with the same fields as dtype, converted to boolean types. Returns:...
- numpy.ma.masked_array.getfield
...numpy.ma.masked_array.getfield...
- numpy.ma.masked_array.ravel
...ex order, with the first index changing fastest, and the last index changing slowest. Note that the ‘C’ and ‘F’ options take no account of the memory layout of the underlying array, and only refer to the order of axis indexing. ‘A’ means t...
- numpy.ma.masked_array.sort
..., False, False], fill_value=999999) >>> a = np.ma.array([1, 2, 5, 4, 3],mask=[0, 1, 0, 1, 0]) >>> # fill_value takes over endwith >>> a.sort(endwith=False, fill_value=3) >>> a masked_array(data=[1, --, --, 3, 5], mask=...
- numpy.ma.masked_array.take
...numpy.ma.masked_array.take...
- numpy.ma.MaskedArray.__new__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__new__...
- numpy.ma.MaskedArray.ravel
...ex order, with the first index changing fastest, and the last index changing slowest. Note that the ‘C’ and ‘F’ options take no account of the memory layout of the underlying array, and only refer to the order of axis indexing. ‘A’ means t...
- numpy.ma.MaskedArray.sort
..., False, False], fill_value=999999) >>> a = np.ma.array([1, 2, 5, 4, 3],mask=[0, 1, 0, 1, 0]) >>> # fill_value takes over endwith >>> a.sort(endwith=False, fill_value=3) >>> a masked_array(data=[1, --, --, 3, 5], mask=...
- numpy.ma.MaskedArray.take
...Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.take...
- numpy.ma.MaskType
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.MaskType...
- numpy.ma.MaskType.all
...numpy.ma.MaskType.all...
- numpy.ma.MaskType.any
...numpy.ma.MaskType.any...
- numpy.ma.MaskType.argmax
...numpy.ma.MaskType.argmax...
- numpy.ma.MaskType.argmin
...numpy.ma.MaskType.argmin...
- numpy.ma.MaskType.argsort
...numpy.ma.MaskType.argsort...
- numpy.ma.MaskType.astype
...numpy.ma.MaskType.astype...
- numpy.ma.MaskType.base
...numpy.ma.MaskType.base...
- numpy.ma.MaskType.byteswap
...numpy.ma.MaskType.byteswap...
- numpy.ma.MaskType.choose
...numpy.ma.MaskType.choose...
- numpy.ma.MaskType.clip
...numpy.ma.MaskType.clip...
- numpy.ma.MaskType.compress
...numpy.ma.MaskType.compress...
- numpy.ma.MaskType.conj
...numpy.ma.MaskType.conj...
- numpy.ma.MaskType.conjugate
...numpy.ma.MaskType.conjugate...
- numpy.ma.MaskType.copy
- numpy.ma.MaskType.cumprod
- numpy.ma.MaskType.cumsum
- numpy.ma.MaskType.data
- numpy.ma.MaskType.device
- numpy.ma.MaskType.diagonal
- numpy.ma.MaskType.dtype
- numpy.ma.MaskType.dump
- numpy.ma.MaskType.dumps
- numpy.ma.MaskType.fill
- numpy.ma.MaskType.flags
- numpy.ma.MaskType.flat
- numpy.ma.MaskType.flatten
- numpy.ma.MaskType.getfield
- numpy.ma.MaskType.imag
- numpy.ma.MaskType.item
- numpy.ma.MaskType.itemset
- numpy.ma.MaskType.itemsize
- numpy.ma.MaskType.max
- numpy.ma.MaskType.mean
- numpy.ma.MaskType.min
- numpy.ma.MaskType.nbytes
- numpy.ma.MaskType.ndim
- numpy.ma.MaskType.newbyteorder
- numpy.ma.MaskType.nonzero
- numpy.ma.MaskType.prod
- numpy.ma.MaskType.ptp
- numpy.ma.MaskType.put
- numpy.ma.MaskType.ravel
- numpy.ma.MaskType.real
- numpy.ma.MaskType.repeat
- numpy.ma.MaskType.reshape
- numpy.ma.MaskType.resize
- numpy.ma.MaskType.round
- numpy.ma.MaskType.searchsorted
- numpy.ma.MaskType.setfield
- numpy.ma.MaskType.setflags
- numpy.ma.MaskType.shape
- numpy.ma.MaskType.size
- numpy.ma.MaskType.sort
- numpy.ma.MaskType.squeeze