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• numpy.ma.MaskedArray.compressed
• numpy.ma.MaskedArray.compressed (Python method, in numpy.ma.MaskedArray.compressed)
• Constants of the numpy.ma module

  ...the array, cast to a specified type. MaskedArray.byteswap([inplace]) Swap the bytes of the array elements MaskedArray.compressed() Return all the non-masked data as a 1-D array. MaskedArray.filled([fill_value]) Return a copy of self, wit...

• NumPy 1.10.0 Release Notes

  ...gs. Addition of np.linalg.multi_dot: compute the dot product of two or more arrays in a single function call, while automatically selecting the fastest evaluation order. The new function np.stack provides a general interface for joining a s...

• NumPy 1.11.0 Release Notes

  ...2 - 3.5 and contains a number of enhancements and improvements. Note also the build system changes listed below as they may have subtle effects. No Windows (TM) binaries are provided for this release due to a broken toolchain. One of the pr...

• NumPy 1.11.2 Release Notes

  ...ound on PyPI. Pull Requests Merged Fixes overridden by later merges and release notes updates are omitted. #7736 BUG: Many functions silently drop ‘keepdims’ kwarg. #7738 ENH: Add extra kwargs and update doc of many MA methods. #7778 DOC:...

• NumPy 1.12.1 Release Notes

  ...and OSX can be found on PyPI, Bugs Fixed BUG: Fix wrong future nat warning and equiv type logic error… BUG: Fix wrong masked median for some special cases DOC: Place np.average in inline code TST: Work around isfinite inconsistency on i38...

• NumPy 1.13.0 Release Notes

  ...viside function. New np.isin function, improves on in1d. New np.block function for creating blocked arrays. New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API. See below for details. Deprecations Calling np.fix, np.isposinf, and...

• NumPy 1.14.0 Release Notes

  ...on over arbitrary intervals using the scaled and shifted Chebyshev points of the first kind. Support for reading lzma compressed text files in Python 3 With Python versions containing the lzma module the text IO functions can now transpar...

• NumPy 1.15.0 Release Notes

  ...NumPy 1.15.0 Release Notes NumPy 1.15.0 is a release with an unusual number of cleanups, many deprecations of old functions, and improvements to many existing functions. Please read the detailed descriptions b...

• NumPy 1.18.0 Release Notes

  ...r numpy.random has been defined and documented. Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries. Many documentation improvements. New functions Multivariate hypergeometric distribution added to numpy.random The me...

• NumPy 1.24 Release Notes

  ...ired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are Many new deprecations, check them out. Many expired deprecations, New F2PY features and fixes. New “dtype” and “casting”...

• NumPy 1.25.0 Release Notes

  ...up for sponsoring this work. (gh-23136) Faster membership test on NpzFile Membership test on NpzFile will no longer decompress the archive if it is successful. (gh-23661) Changes np.r_[] and np.c_[] with certain scalar values In rare...

• NumPy 1.6.0 Release Notes

  ...time dtype support to deal with dates in arrays. A new 16-bit floating point type. A new iterator, which improves performance of many functions. New features New 16-bit floating point type This release adds support for the IEEE 754-2008...

• NumPy 1.7.2 Release Notes

  ...o float under certain conditions gh-2403: masked array with named components does not behave as expected gh-2495: np.ma.compress treated inputs in wrong order gh-576: add __len__ method to ma.mvoid gh-3364: reduce performance regression of...

• NumPy 1.8.1 Release Notes
• NumPy 1.9.0 Release Notes

  ...NumPy 1.9.0 Release Notes This release supports Python 2.6 - 2.7 and 3.2 - 3.4. Highlights Numerous performance improvements in various areas, most notably indexing and operations on small arrays are significantly faster. Inde...

• NumPy 2.0.0 Release Notes

  ...NumPy 2.0.0 Release Notes NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of...

• NumPy 2.1.0 Release Notes

  ...opt-out of this change. If you are experiencing problems due to an upstream header including NumPy, the solution is to make sure you #include "numpy/ndarrayobject.h" before their header and import NumPy yourself based on including-the-c-a...

• numpy.array_repr

  ...numpy.array_repr numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None)[source] Return the string representation of an array. Paramet...

• numpy.concat

  ...NumPy reference Routines and objects by topic Array manipulation routines numpy.concat...

• numpy.concatenate

  ...NumPy reference Routines and objects by topic Array manipulation routines numpy.concatenate...

• numpy.ma.append

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.append...

• numpy.ma.arange

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.arange...

• numpy.ma.argsort

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.argsort...

• numpy.ma.array

  ...ask or not. With a hard mask, masked values cannot be unmasked. Default is False. shrinkbool, optionalWhether to force compression of an empty mask. Default is True. order{‘C’, ‘F’, ‘A’}, optionalSpecify the order of the array. If order...

• numpy.ma.asanyarray

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.asanyarray...

• numpy.ma.asarray

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.asarray...

• numpy.ma.average

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.average...

• numpy.ma.clip

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.clip...

• numpy.ma.common_fill_value

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.common_fill_value...

• numpy.ma.compress_cols

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.compress_cols...

• numpy.ma.compress_nd

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.compress_nd...

• numpy.ma.compress_rowcols

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.compress_rowcols...

• numpy.ma.compress_rows

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.compress_rows...

• numpy.ma.compressed

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.compressed...

• numpy.ma.concatenate

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.concatenate...

• numpy.ma.convolve

  ...previous numpy.ma.compress_nd next numpy.ma.correlate...

• numpy.ma.correlate

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.correlate...

• numpy.ma.count_masked

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.count_masked...

• numpy.ma.cumprod

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.cumprod...

• numpy.ma.cumsum

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.cumsum...

• numpy.ma.diff

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.diff...

• numpy.ma.empty

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.empty...

• numpy.ma.empty_like

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.empty_like...

• numpy.ma.filled

  ...array should be broadcastable over input array. Default is None. Returns: andarrayThe filled array. See also compressed Examples >>> import numpy as np >>> import numpy.ma as ma >>> x = ma.array(np.arange(9).reshape(3, 3), mask...

• numpy.ma.fix_invalid

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.fix_invalid...

• numpy.ma.flatnotmasked_edges

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.flatnotmasked_edges...

• numpy.ma.frombuffer

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.frombuffer...

• numpy.ma.fromflex

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.fromflex...

• numpy.ma.fromfunction

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.fromfunction...

• numpy.ma.getdata

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.getdata...

• numpy.ma.getmask

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.getmask...

• numpy.ma.getmaskarray
• numpy.ma.harden_mask
• numpy.ma.identity
• numpy.ma.indices
• numpy.ma.is_mask
• numpy.ma.is_masked
• numpy.ma.isarray
• numpy.ma.isMA
• numpy.ma.isMaskedArray
• numpy.ma.mask_rowcols
• numpy.ma.masked_all
• numpy.ma.masked_all_like
• numpy.ma.masked_array
• numpy.ma.masked_array.argsort
• numpy.ma.masked_array.compress
• numpy.ma.masked_array.compressed
• numpy.ma.masked_array.cumprod
• numpy.ma.masked_array.cumsum
• numpy.ma.masked_array.filled
• numpy.ma.masked_array.get_imag
• numpy.ma.masked_array.get_real
• numpy.ma.masked_array.harden_mask
• numpy.ma.masked_array.hardmask
• numpy.ma.masked_array.imag
• numpy.ma.masked_array.mT
• numpy.ma.masked_array.ptp
• numpy.ma.masked_array.ravel
• numpy.ma.masked_array.real
• numpy.ma.masked_array.soften_mask
• numpy.ma.masked_array.take
• numpy.ma.masked_array.tobytes
• numpy.ma.masked_array.view
• numpy.ma.masked_equal
• numpy.ma.masked_object
• numpy.ma.masked_values
• numpy.ma.masked_where
• numpy.ma.MaskedArray.__abs__
• numpy.ma.MaskedArray.__add__
• numpy.ma.MaskedArray.__and__
• numpy.ma.MaskedArray.__array__
• numpy.ma.MaskedArray.__array_priority__
• numpy.ma.MaskedArray.__array_wrap__
• numpy.ma.MaskedArray.__bool__
• numpy.ma.MaskedArray.__contains__
• numpy.ma.MaskedArray.__copy__
• numpy.ma.MaskedArray.__deepcopy__
• numpy.ma.MaskedArray.__delitem__
• numpy.ma.MaskedArray.__div__
• numpy.ma.MaskedArray.__divmod__
• numpy.ma.MaskedArray.__eq__
• numpy.ma.MaskedArray.__float__
• numpy.ma.MaskedArray.__floordiv__
• numpy.ma.MaskedArray.__ge__
• numpy.ma.MaskedArray.__getitem__
• numpy.ma.MaskedArray.__getstate__
• numpy.ma.MaskedArray.__gt__
• numpy.ma.MaskedArray.__iadd__
• numpy.ma.MaskedArray.__iand__
• numpy.ma.MaskedArray.__idiv__
• numpy.ma.MaskedArray.__ifloordiv__
• numpy.ma.MaskedArray.__ilshift__
• numpy.ma.MaskedArray.__imod__
• numpy.ma.MaskedArray.__imul__
• numpy.ma.MaskedArray.__int__
• numpy.ma.MaskedArray.__ior__
• numpy.ma.MaskedArray.__ipow__
• numpy.ma.MaskedArray.__irshift__
• numpy.ma.MaskedArray.__isub__
• numpy.ma.MaskedArray.__itruediv__
• numpy.ma.MaskedArray.__ixor__
• numpy.ma.MaskedArray.__le__
• numpy.ma.MaskedArray.__len__
• numpy.ma.MaskedArray.__lshift__
• numpy.ma.MaskedArray.__lt__
• numpy.ma.MaskedArray.__mod__
• numpy.ma.MaskedArray.__mul__
• numpy.ma.MaskedArray.__ne__
• numpy.ma.MaskedArray.__new__
• numpy.ma.MaskedArray.__or__
• numpy.ma.MaskedArray.__pow__
• numpy.ma.MaskedArray.__radd__
• numpy.ma.MaskedArray.__rand__
• numpy.ma.MaskedArray.__rdivmod__
• numpy.ma.MaskedArray.__reduce__
• numpy.ma.MaskedArray.__repr__
• numpy.ma.MaskedArray.__rfloordiv__
• numpy.ma.MaskedArray.__rlshift__
• numpy.ma.MaskedArray.__rmod__
• numpy.ma.MaskedArray.__rmul__
• numpy.ma.MaskedArray.__ror__
• numpy.ma.MaskedArray.__rpow__
• numpy.ma.MaskedArray.__rrshift__
• numpy.ma.MaskedArray.__rshift__
• numpy.ma.MaskedArray.__rsub__
• numpy.ma.MaskedArray.__rtruediv__
• numpy.ma.MaskedArray.__rxor__
• numpy.ma.MaskedArray.__setitem__
• numpy.ma.MaskedArray.__setmask__
• numpy.ma.MaskedArray.__setstate__
• numpy.ma.MaskedArray.__str__
• numpy.ma.MaskedArray.__sub__
• numpy.ma.MaskedArray.__truediv__
• numpy.ma.MaskedArray.__xor__
• numpy.ma.MaskedArray.all
• numpy.ma.MaskedArray.anom
• numpy.ma.MaskedArray.any
• numpy.ma.MaskedArray.argmax
• numpy.ma.MaskedArray.argmin
• numpy.ma.MaskedArray.argsort
• numpy.ma.MaskedArray.astype
• numpy.ma.MaskedArray.base
• numpy.ma.MaskedArray.byteswap
• numpy.ma.MaskedArray.choose
• numpy.ma.MaskedArray.clip
• numpy.ma.MaskedArray.compress
• numpy.ma.MaskedArray.compressed
• numpy.ma.MaskedArray.conj
• numpy.ma.MaskedArray.conjugate
• numpy.ma.MaskedArray.copy
• numpy.ma.MaskedArray.count
• numpy.ma.MaskedArray.ctypes
• numpy.ma.MaskedArray.cumprod
• numpy.ma.MaskedArray.cumsum
• numpy.ma.MaskedArray.diagonal
• numpy.ma.MaskedArray.dtype
• numpy.ma.MaskedArray.dump
• numpy.ma.MaskedArray.dumps
• numpy.ma.MaskedArray.fill
• numpy.ma.MaskedArray.filled
• numpy.ma.MaskedArray.flags
• numpy.ma.MaskedArray.flat
• numpy.ma.MaskedArray.flatten
• numpy.ma.MaskedArray.get_fill_value
• numpy.ma.MaskedArray.harden_mask
• numpy.ma.MaskedArray.ids
• numpy.ma.MaskedArray.imag
• numpy.ma.MaskedArray.iscontiguous
• numpy.ma.MaskedArray.item
• numpy.ma.MaskedArray.itemsize
• numpy.ma.MaskedArray.max
• numpy.ma.MaskedArray.mean
• numpy.ma.MaskedArray.min
• numpy.ma.MaskedArray.nbytes
• numpy.ma.MaskedArray.ndim
• numpy.ma.MaskedArray.nonzero
• numpy.ma.MaskedArray.prod
• numpy.ma.MaskedArray.product
• numpy.ma.MaskedArray.ptp
• numpy.ma.MaskedArray.put
• numpy.ma.MaskedArray.ravel
• numpy.ma.MaskedArray.real
• numpy.ma.MaskedArray.repeat
• numpy.ma.MaskedArray.reshape
• numpy.ma.MaskedArray.resize
• numpy.ma.MaskedArray.round
• numpy.ma.MaskedArray.searchsorted
• numpy.ma.MaskedArray.set_fill_value
• numpy.ma.MaskedArray.shape
• numpy.ma.MaskedArray.shrink_mask
• numpy.ma.MaskedArray.size
• numpy.ma.MaskedArray.soften_mask
• numpy.ma.MaskedArray.sort
• numpy.ma.MaskedArray.squeeze
• numpy.ma.MaskedArray.std
• numpy.ma.MaskedArray.strides
• numpy.ma.MaskedArray.sum
• numpy.ma.MaskedArray.swapaxes
• numpy.ma.MaskedArray.T
• numpy.ma.MaskedArray.take
• numpy.ma.MaskedArray.tobytes
• numpy.ma.MaskedArray.tofile
• numpy.ma.MaskedArray.toflex
• numpy.ma.MaskedArray.tolist
• numpy.ma.MaskedArray.torecords
• numpy.ma.MaskedArray.tostring
• numpy.ma.MaskedArray.trace
• numpy.ma.MaskedArray.transpose
• numpy.ma.MaskedArray.unshare_mask
• numpy.ma.MaskedArray.var
• numpy.ma.MaskedArray.view
• numpy.ma.MaskType.compress
• numpy.ma.maximum_fill_value
• numpy.ma.minimum_fill_value
• numpy.ma.ndenumerate
• numpy.ma.ones
• numpy.ma.ones_like
• numpy.ma.ptp
• numpy.ma.put
• numpy.ma.putmask
• numpy.ma.ravel
• numpy.ma.reshape
• numpy.ma.resize
• numpy.ma.set_fill_value
• numpy.ma.soften_mask
• numpy.ma.sort
• numpy.ma.squeeze
• numpy.ma.where
• numpy.ma.zeros
• numpy.ma.zeros_like
• The numpy.ma module
• Array objects
• Masked arrays
• Structured arrays