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• numpy.ma.masked_array.transpose

  ...numpy.ma.masked_array.transpose...

• numpy.ma.masked_array.transpose (Python method, in numpy.ma.masked_array.transpose)
• Constants of the numpy.ma module

  ...urn the array data as a string containing the raw bytes in the array. Shape manipulation For reshape, resize, and transpose, the single tuple argument may be replaced with n integers which will be interpreted as an n-tuple. MaskedAr...

• NumPy 1.11.0 Release Notes

  ...viously, gemm BLAS operations were used for all matrix products. Now, if the matrix product is between a matrix and its transpose, it will use syrk BLAS operations for a performance boost. This optimization has been extended to @, numpy.dot...

• 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 1.24 Release Notes

  ...ctions. See below for the details, This release supports Python versions 3.8-3.11. Deprecations Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose The numpy.fastCopyAndTranspose function has been deprecated. Use the correspondin...

• NumPy 2.0.0 Release Notes

  ...enums, expired members and functions have been removed from the main namespace, such as: ERR_*, SHIFT_*, np.fastCopyAndTranspose, np.kernel_version, np.numarray, np.oldnumeric and np.set_numeric_ops. (gh-24316) Replaced from ... import *...

• 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.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

  ...s True (default), then each row represents a variable, with observations in the columns. Otherwise, the relationship is transposed: each column represents a variable, while the rows contain observations. bias_NoValue, optionalHas no effect...

• 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

  ...s True (default), then each row represents a variable, with observations in the columns. Otherwise, the relationship is transposed: each column represents a variable, while the rows contain observations. biasbool, optionalDefault normaliza...

• 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.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.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

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

• 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.argmax...

• numpy.ma.masked_array.argmin

  ...numpy.ma.masked_array.argmin...

• numpy.ma.masked_array.argpartition

  ...numpy.ma.masked_array.argpartition...

• numpy.ma.masked_array.argsort

  ...numpy.ma.masked_array.argsort...

• numpy.ma.masked_array.astype

  ...numpy.ma.masked_array.astype...

• numpy.ma.masked_array.base

  ...numpy.ma.masked_array.base...

• numpy.ma.masked_array.baseclass

  ...numpy.ma.masked_array.baseclass...

• numpy.ma.masked_array.byteswap

  ...numpy.ma.masked_array.byteswap...

• numpy.ma.masked_array.choose

  ...numpy.ma.masked_array.choose...

• numpy.ma.masked_array.clip

  ...numpy.ma.masked_array.clip...

• numpy.ma.masked_array.compress

  ...numpy.ma.masked_array.compress...

• numpy.ma.masked_array.compressed

  ...numpy.ma.masked_array.compressed...

• numpy.ma.masked_array.conj

  ...numpy.ma.masked_array.conj...

• numpy.ma.masked_array.conjugate

  ...numpy.ma.masked_array.conjugate...

• numpy.ma.masked_array.copy

  ...numpy.ma.masked_array.copy...

• numpy.ma.masked_array.count

  ...numpy.ma.masked_array.count...

• numpy.ma.masked_array.ctypes

  ...numpy.ma.masked_array.ctypes...

• numpy.ma.masked_array.cumprod

  ...numpy.ma.masked_array.cumprod...

• numpy.ma.masked_array.cumsum

  ...numpy.ma.masked_array.cumsum...

• numpy.ma.masked_array.data

  ...numpy.ma.masked_array.data...

• numpy.ma.masked_array.device

  ...numpy.ma.masked_array.device...

• numpy.ma.masked_array.diagonal

  ...numpy.ma.masked_array.diagonal...

• numpy.ma.masked_array.dot

  ...numpy.ma.masked_array.dot...

• numpy.ma.masked_array.dtype

  ...numpy.ma.masked_array.dtype...

• numpy.ma.masked_array.dump

  ...numpy.ma.masked_array.dump...

• numpy.ma.masked_array.dumps

  ...numpy.ma.masked_array.dumps...

• numpy.ma.masked_array.fill

  ...numpy.ma.masked_array.fill...

• numpy.ma.masked_array.fill_value

  ...numpy.ma.masked_array.fill_value...

• numpy.ma.masked_array.filled

  ...numpy.ma.masked_array.filled...

• numpy.ma.masked_array.flags

  ...numpy.ma.masked_array.flags...

• numpy.ma.masked_array.flat

  ...numpy.ma.masked_array.flat...

• numpy.ma.masked_array.flatten

  ...numpy.ma.masked_array.flatten...

• numpy.ma.masked_array.get_fill_value

  ...numpy.ma.masked_array.get_fill_value...

• numpy.ma.masked_array.get_imag

  ...numpy.ma.masked_array.get_imag...

• numpy.ma.masked_array.get_real

  ...numpy.ma.masked_array.get_real...

• numpy.ma.masked_array.getfield

  ...numpy.ma.masked_array.getfield...

• numpy.ma.masked_array.harden_mask

  ...numpy.ma.masked_array.harden_mask...

• numpy.ma.masked_array.hardmask

  ...numpy.ma.masked_array.hardmask...

• numpy.ma.masked_array.ids

  ...numpy.ma.masked_array.ids...

• numpy.ma.masked_array.imag

  ...numpy.ma.masked_array.imag...

• numpy.ma.masked_array.iscontiguous

  ...numpy.ma.masked_array.iscontiguous...

• numpy.ma.masked_array.item

  ...numpy.ma.masked_array.item...

• numpy.ma.masked_array.itemset

  ...numpy.ma.masked_array.itemset...

• numpy.ma.masked_array.itemsize

  ...numpy.ma.masked_array.itemsize...

• numpy.ma.masked_array.mask

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

• numpy.ma.masked_array.max

  ...numpy.ma.masked_array.max...

• numpy.ma.masked_array.mean

  ...numpy.ma.masked_array.mean...

• numpy.ma.masked_array.min

  ...numpy.ma.masked_array.min...

• numpy.ma.masked_array.mT

  ...numpy.ma.masked_array.mT property property ma.masked_array.mT Return the matrix-transpose of the masked array. The matrix transpose is the transpose of the last two dimensions, even if the array is of...

• numpy.ma.masked_array.nbytes

  ...numpy.ma.masked_array.nbytes...

• numpy.ma.masked_array.ndim

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

• numpy.ma.masked_array.newbyteorder

  ...numpy.ma.masked_array.newbyteorder...

• numpy.ma.masked_array.nonzero

  ...o values can be obtained with: a[a.nonzero()] To group the indices by element, rather than dimension, use instead: np.transpose(a.nonzero()) The result of this is always a 2d array, with a row for each non-zero element. Parameters: No...

• numpy.ma.masked_array.partition

  ...numpy.ma.masked_array.partition...

• numpy.ma.masked_array.prod

  ...numpy.ma.masked_array.prod...

• numpy.ma.masked_array.product

  ...numpy.ma.masked_array.product...

• numpy.ma.masked_array.ptp

  ...numpy.ma.masked_array.ptp...

• numpy.ma.masked_array.put

  ...numpy.ma.masked_array.put...

• numpy.ma.masked_array.ravel

  ...numpy.ma.masked_array.ravel...

• numpy.ma.masked_array.real

  ...numpy.ma.masked_array.real...

• numpy.ma.masked_array.recordmask

  ...numpy.ma.masked_array.recordmask...

• numpy.ma.masked_array.repeat

  ...numpy.ma.masked_array.repeat...

• numpy.ma.masked_array.reshape

  ...numpy.ma.masked_array.reshape...

• numpy.ma.masked_array.resize

  ...numpy.ma.masked_array.resize...

• numpy.ma.masked_array.round

  ...numpy.ma.masked_array.round...

• numpy.ma.masked_array.searchsorted

  ...numpy.ma.masked_array.searchsorted...

• numpy.ma.masked_array.set_fill_value

  ...numpy.ma.masked_array.set_fill_value...

• numpy.ma.masked_array.setfield

  ...numpy.ma.masked_array.setfield...

• numpy.ma.masked_array.setflags

  ...numpy.ma.masked_array.setflags...

• numpy.ma.masked_array.shape

  ...numpy.ma.masked_array.shape...

• numpy.ma.masked_array.sharedmask

  ...numpy.ma.masked_array.sharedmask...

• numpy.ma.masked_array.shrink_mask

  ...numpy.ma.masked_array.shrink_mask...

• numpy.ma.masked_array.size

  ...numpy.ma.masked_array.size...

• numpy.ma.masked_array.soften_mask

  ...numpy.ma.masked_array.soften_mask...

• numpy.ma.masked_array.sort

  ...numpy.ma.masked_array.sort...

• numpy.ma.masked_array.squeeze

  ...numpy.ma.masked_array.squeeze...

• numpy.ma.masked_array.std

  ...numpy.ma.masked_array.std...

• numpy.ma.masked_array.strides

  ...offset=sum(y.strides * np.array((1,1,1))) >>> offset/y.itemsize 17 >>> x = np.reshape(np.arange(5*6*7*8), (5,6,7,8)).transpose(2,3,1,0) >>> x.strides (32, 4, 224, 1344) >>> i = np.array([3,5,2,2]) >>> offset = sum(i * x.strides) >>> x[3,...

• numpy.ma.masked_array.sum

  ...numpy.ma.masked_array.sum...

• numpy.ma.masked_array.swapaxes

  ...numpy.ma.masked_array.swapaxes...

• numpy.ma.masked_array.T

  ...numpy.ma.masked_array.T property property ma.masked_array.T View of the transposed array. Same as self.transpose(). See also transpose Examples >>> import numpy as np >>> a = np.array([[1,...

• numpy.ma.masked_array.take

  ...numpy.ma.masked_array.take...

• numpy.ma.masked_array.to_device

  ...numpy.ma.masked_array.to_device...

• numpy.ma.masked_array.tobytes

  ...numpy.ma.masked_array.tobytes...

• numpy.ma.masked_array.tofile

  ...numpy.ma.masked_array.tofile...

• numpy.ma.masked_array.toflex

  ...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.cumsum
• numpy.ma.MaskedArray.imag
• numpy.ma.MaskedArray.max
• numpy.ma.MaskedArray.mean
• numpy.ma.MaskedArray.min
• 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
• numpy.ma.MaskedArray.shrink_mask
• numpy.ma.MaskedArray.sort
• numpy.ma.MaskedArray.strides
• numpy.ma.MaskedArray.sum
• numpy.ma.MaskedArray.T
• numpy.ma.MaskedArray.take
• numpy.ma.MaskedArray.toflex
• numpy.ma.MaskedArray.torecords
• numpy.ma.MaskedArray.transpose
• numpy.ma.MaskedArray.view
• numpy.ma.MaskType.transpose
• numpy.ma.max
• numpy.ma.mean
• numpy.ma.median
• numpy.ma.min
• numpy.ma.mr_
• numpy.ma.ndenumerate
• numpy.ma.nonzero
• numpy.ma.notmasked_contiguous
• numpy.ma.power
• numpy.ma.ptp
• numpy.ma.put
• numpy.ma.putmask
• numpy.ma.ravel
• numpy.ma.reshape
• numpy.ma.resize
• numpy.ma.right_shift
• numpy.ma.round
• numpy.ma.round_
• numpy.ma.set_fill_value
• numpy.ma.setdiff1d
• numpy.ma.setxor1d
• numpy.ma.sort
• numpy.ma.sum
• numpy.ma.transpose
• numpy.ma.union1d
• numpy.ma.unique
• numpy.ma.where
• The numpy.ma module
• Glossary
• Structured arrays