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- numpy.ma.masked_array.choose
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- numpy.ma.masked_array.choose (Python method, in numpy.ma.masked_array.choose)
- Constants of the
numpy.ma
module...gsort([axis, kind, order, ...]) Return an ndarray of indices that sort the array along the specified axis. MaskedArray.choose(choices[, out, mode]) Use an index array to construct a new array from a set of choices. MaskedArray.compress(co...
- NumPy 1.13.0 Release Notes
...bandwidth is required to perform the operation. axes argument for unique In an N-dimensional array, the user can now choose the axis along which to look for duplicate N-1-dimensional elements using numpy.unique. The original behaviour is...
- NumPy 1.14.0 Release Notes
...de, see compatibility notes above. hermitian option added to``np.linalg.matrix_rank`` The new hermitian option allows choosing between standard SVD based matrix rank calculation and the more efficient eigenvalue based method for symmetric...
- 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
- NumPy 2.0.1 Release Notes
- NumPy 2.1.0 Release Notes
- numpy.concat
- numpy.concatenate
- numpy.ma.allclose
- numpy.ma.allequal
- numpy.ma.anom
- numpy.ma.anomalies
- numpy.ma.append
- numpy.ma.apply_over_axes
- numpy.ma.argmin
- numpy.ma.argsort
- numpy.ma.array
- numpy.ma.asanyarray
- numpy.ma.asarray
- numpy.ma.average
- numpy.ma.choose
- numpy.ma.clump_masked
- numpy.ma.clump_unmasked
- numpy.ma.compress_rowcols
- numpy.ma.compressed
- numpy.ma.concatenate
- numpy.ma.corrcoef
- numpy.ma.correlate
- numpy.ma.count
- numpy.ma.count_masked
- numpy.ma.cov
- numpy.ma.cumsum
- numpy.ma.diag
- numpy.ma.diff
- numpy.ma.dot
- numpy.ma.ediff1d
- numpy.ma.fix_invalid
- numpy.ma.fromflex
- numpy.ma.getdata
- numpy.ma.getmask
- numpy.ma.getmaskarray
- numpy.ma.in1d
- numpy.ma.intersect1d
- numpy.ma.is_mask
- numpy.ma.is_masked
- numpy.ma.isarray
- numpy.ma.isin
- numpy.ma.isMA
- numpy.ma.isMaskedArray
- numpy.ma.left_shift
- numpy.ma.mask_cols
- numpy.ma.mask_rowcols
- numpy.ma.mask_rows
- numpy.ma.masked_all
- numpy.ma.masked_all_like
- numpy.ma.masked_array
- numpy.ma.masked_array.all
- numpy.ma.masked_array.anom
- 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