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• numpy.ma.masked_array.ndim

  ...numpy.ma.masked_array.ndim...

• numpy.ma.masked_array.ndim (Python attribute, in numpy.ma.masked_array.ndim)
• Constants of the numpy.ma module

  ...ngth of one array element in bytes. MaskedArray.nbytes Total bytes consumed by the elements of the array. MaskedArray.ndim Number of array dimensions. MaskedArray.shape Tuple of array dimensions. MaskedArray.size Number of elements in t...

• NumPy 1.10.2 Release Notes

  ...treated as C contiguous which breaks some code that depended the two being mutually exclusive for non-scalar arrays of ndim > 1. This deprecation prepares the way to always enable relaxed stride checking. Issues Fixed gh-6019 Masked ar...

• NumPy 1.13.0 Release Notes

  ...tch the behavior of np.conjugate, which throws an error). Calling expand_dims when the axis keyword does not satisfy -a.ndim - 1 <= axis <= a.ndim, where a is the array being reshaped, is deprecated. Future Changes Assignment between st...

• NumPy 1.18.0 Release Notes

  ...of PyArray_AsCArray (gh-14036) np.rank has been removed. This was deprecated in NumPy 1.10 and has been replaced by np.ndim. (gh-14039) The deprecation of expand_dims out-of-range axes in 1.13.0 has expired. (gh-14051) PyArray_FromDimsAndD...

• NumPy 1.22.0 Release Notes

  ...nt.bit_count or popcount in C++. >>> np.uint32(1023).bit_count() 10 >>> np.int32(-127).bit_count() 7 (gh-19355) The ndim and axis attributes have been added to numpy.AxisError The ndim and axis parameters are now also stored as attribut...

• NumPy 1.23.0 Release Notes

  ...entation, and expire old deprecations. The highlights are: Implementation of loadtxt in C, greatly improving its performance. Exposing DLPack at the Python level for easy data exchange. Changes to the promotion and comparisons of structure...

• NumPy 1.25.0 Release Notes

  ....sometrue is deprecated. Use np.any instead. (gh-23314) np.alltrue is deprecated. Use np.all instead. (gh-23314) Only ndim-0 arrays are treated as scalars. NumPy used to treat all arrays of size 1 (e.g., np.array([3.14])) as scalars. In...

• NumPy 1.9.0 Release Notes

  ...nctions can now be specified using the dtype parameter. More general np.triu and np.tril broadcasting For arrays with ndim exceeding 2, these functions will now apply to the final two axes instead of raising an exception. tobytes alias...

• 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.allclose

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

• numpy.ma.allequal

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

• numpy.ma.anom

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

• numpy.ma.anomalies

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

• numpy.ma.append

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

• numpy.ma.apply_over_axes

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

• numpy.ma.argmin

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

• numpy.ma.argsort

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

• numpy.ma.array

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

• 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.atleast_1d

  ...s: arys1, arys2, …array_likeOne or more input arrays. Returns: retndarrayAn array, or tuple of arrays, each with a.ndim >= 1. Copies are made only if necessary. See also atleast_2d, atleast_3d Notes The function is applied to b...

• numpy.ma.atleast_2d

  ...dy have two or more dimensions are preserved. Returns: res, res2, …ndarrayAn array, or tuple of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned. See also atleast...

• numpy.ma.atleast_3d

  ...have three or more dimensions are preserved. Returns: res1, res2, …ndarrayAn array, or tuple of arrays, each with a.ndim >= 3. Copies are avoided where possible, and views with three or more dimensions are returned. For example, a 1-D...

• numpy.ma.average

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

• numpy.ma.choose

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

• numpy.ma.clump_masked

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

• numpy.ma.clump_unmasked

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

• numpy.ma.compress_rowcols

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

• 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.corrcoef

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

• numpy.ma.correlate

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

• numpy.ma.count

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

• numpy.ma.count_masked

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

• numpy.ma.cov

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

• numpy.ma.cumsum

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

• numpy.ma.diag

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

• numpy.ma.diff

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

• numpy.ma.dot

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

• numpy.ma.ediff1d

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.ediff1d...

• numpy.ma.expand_dims

  ...expanded axes where the new axis (or axes) is placed. Deprecated since version 1.13.0: Passing an axis where axis > a.ndim will be treated as axis == a.ndim, and passing axis < -a.ndim - 1 will be treated as axis == 0. This behavior is de...

• numpy.ma.fix_invalid

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

• numpy.ma.fromflex

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

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

• numpy.ma.in1d

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.in1d...

• numpy.ma.inner

  .... For vectors (1-D arrays) it computes the ordinary inner-product: np.inner(a, b) = sum(a[:]*b[:]) More generally, if ndim(a) = r > 0 and ndim(b) = s > 0: np.inner(a, b) = np.tensordot(a, b, axes=(-1,-1)) or explicitly: np.inner(a, b)[i...

• numpy.ma.innerproduct

  .... For vectors (1-D arrays) it computes the ordinary inner-product: np.inner(a, b) = sum(a[:]*b[:]) More generally, if ndim(a) = r > 0 and ndim(b) = s > 0: np.inner(a, b) = np.tensordot(a, b, axes=(-1,-1)) or explicitly: np.inner(a, b)[i...

• numpy.ma.intersect1d

  ...NumPy reference NumPy’s module structure Masked array operations numpy.ma.intersect1d...

• numpy.ma.is_mask

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

• numpy.ma.is_masked

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

• numpy.ma.isarray

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

• numpy.ma.isin

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

• numpy.ma.isMA

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

• numpy.ma.isMaskedArray

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

• numpy.ma.left_shift

  ...previous numpy.ma.indices next numpy.ma.ndim...

• numpy.ma.mask_cols

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

• numpy.ma.mask_rowcols

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

• numpy.ma.mask_rows

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

• numpy.ma.masked_all

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

• numpy.ma.masked_all_like

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

• numpy.ma.masked_array

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

• numpy.ma.masked_array.all

  ...numpy.ma.masked_array.all...

• numpy.ma.masked_array.anom

  ...numpy.ma.masked_array.anom...

• numpy.ma.masked_array.any

  ...numpy.ma.masked_array.any...

• numpy.ma.masked_array.argmax
• numpy.ma.masked_array.argmin
• numpy.ma.masked_array.argpartition
• numpy.ma.masked_array.argsort
• numpy.ma.masked_array.astype
• numpy.ma.masked_array.base
• numpy.ma.masked_array.baseclass
• numpy.ma.masked_array.byteswap
• numpy.ma.masked_array.choose
• numpy.ma.masked_array.clip
• numpy.ma.masked_array.compress
• numpy.ma.masked_array.compressed
• numpy.ma.masked_array.conj
• numpy.ma.masked_array.conjugate
• numpy.ma.masked_array.copy
• numpy.ma.masked_array.count
• numpy.ma.masked_array.ctypes
• numpy.ma.masked_array.cumprod
• numpy.ma.masked_array.cumsum
• numpy.ma.masked_array.data
• numpy.ma.masked_array.device
• numpy.ma.masked_array.diagonal
• numpy.ma.masked_array.dot
• numpy.ma.masked_array.dtype
• numpy.ma.masked_array.dump
• numpy.ma.masked_array.dumps
• numpy.ma.masked_array.fill
• numpy.ma.masked_array.fill_value
• numpy.ma.masked_array.filled
• numpy.ma.masked_array.flags
• numpy.ma.masked_array.flat
• numpy.ma.masked_array.flatten
• numpy.ma.masked_array.get_fill_value
• numpy.ma.masked_array.get_imag
• numpy.ma.masked_array.get_real
• numpy.ma.masked_array.getfield
• numpy.ma.masked_array.harden_mask
• numpy.ma.masked_array.hardmask
• numpy.ma.masked_array.ids
• numpy.ma.masked_array.imag
• numpy.ma.masked_array.iscontiguous
• numpy.ma.masked_array.item
• numpy.ma.masked_array.itemset
• numpy.ma.masked_array.itemsize
• numpy.ma.masked_array.mask
• numpy.ma.masked_array.max
• numpy.ma.masked_array.mean
• numpy.ma.masked_array.min
• numpy.ma.masked_array.mT
• numpy.ma.masked_array.nbytes
• numpy.ma.masked_array.ndim
• numpy.ma.masked_array.newbyteorder
• numpy.ma.masked_array.nonzero
• numpy.ma.masked_array.partition
• numpy.ma.masked_array.prod
• numpy.ma.masked_array.product
• numpy.ma.masked_array.ptp
• numpy.ma.masked_array.put
• numpy.ma.masked_array.ravel
• numpy.ma.masked_array.real
• numpy.ma.masked_array.recordmask
• numpy.ma.masked_array.repeat
• numpy.ma.masked_array.reshape
• numpy.ma.masked_array.resize
• numpy.ma.masked_array.round
• numpy.ma.masked_array.searchsorted
• numpy.ma.masked_array.set_fill_value
• numpy.ma.masked_array.setfield
• numpy.ma.masked_array.setflags
• numpy.ma.masked_array.shape
• numpy.ma.masked_array.sharedmask
• numpy.ma.masked_array.shrink_mask
• numpy.ma.masked_array.size
• numpy.ma.masked_array.soften_mask
• numpy.ma.masked_array.sort
• numpy.ma.masked_array.squeeze
• numpy.ma.masked_array.std
• numpy.ma.masked_array.strides
• numpy.ma.masked_array.sum
• numpy.ma.masked_array.swapaxes
• numpy.ma.masked_array.T
• numpy.ma.masked_array.take
• numpy.ma.masked_array.to_device
• numpy.ma.masked_array.tobytes
• numpy.ma.masked_array.tofile
• numpy.ma.masked_array.toflex
• numpy.ma.masked_array.tolist
• numpy.ma.masked_array.torecords
• numpy.ma.masked_array.tostring
• numpy.ma.masked_array.trace
• numpy.ma.masked_array.transpose
• numpy.ma.masked_array.unshare_mask
• numpy.ma.masked_array.var
• numpy.ma.masked_array.view
• numpy.ma.masked_equal
• numpy.ma.masked_greater
• numpy.ma.masked_greater_equal
• numpy.ma.masked_inside
• numpy.ma.masked_invalid
• numpy.ma.masked_less
• numpy.ma.masked_less_equal
• numpy.ma.masked_not_equal
• numpy.ma.masked_object
• numpy.ma.masked_outside
• numpy.ma.masked_values
• numpy.ma.masked_where
• numpy.ma.MaskedArray.anom
• numpy.ma.MaskedArray.argmin
• numpy.ma.MaskedArray.argsort
• numpy.ma.MaskedArray.compress
• numpy.ma.MaskedArray.count
• numpy.ma.MaskedArray.ctypes
• numpy.ma.MaskedArray.cumsum
• numpy.ma.MaskedArray.imag
• numpy.ma.MaskedArray.max
• numpy.ma.MaskedArray.mean
• numpy.ma.MaskedArray.min
• numpy.ma.MaskedArray.ndim
• numpy.ma.MaskedArray.nonzero
• numpy.ma.MaskedArray.ptp
• numpy.ma.MaskedArray.put
• numpy.ma.MaskedArray.ravel
• numpy.ma.MaskedArray.real
• numpy.ma.MaskedArray.reshape
• numpy.ma.MaskedArray.round