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- numpy.ma.MaskedArray.itemsize
...Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.itemsize...
- numpy.ma.MaskedArray.itemsize (Python attribute, in numpy.ma.MaskedArray.itemsize)
- Constants of the
numpy.mamodule...pe Data-type of the array's elements. MaskedArray.flags Information about the memory layout of the array. MaskedArray.itemsize Length of one array element in bytes. MaskedArray.nbytes Total bytes consumed by the elements of the array. M...
- 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
..., considering a buffer of all zeros as false, and anything else as true. Checks for V0 can still be done with arr.dtype.itemsize == 0. MaskedArray.squeeze never returns np.ma.masked np.squeeze is documented as returning a view, but the ma...
- NumPy 1.15.0 Release Notes
...like a readonly dictionary, and has a new .values() method and len() implementation. For python 3, this means that .iteritems(), .iterkeys() have been deprecated, and .keys() and .items() now return views and not lists. This is consistent w...
- NumPy 1.17.0 Release Notes
...type['a'] == arr['a'].dtype. Like the dtype of structured arrays indexed with a list of fields, this dtype has the same itemsize as the original, but only keeps a subset of the fields. This means that arr[['a', 'b']] and arr.view(arr.dtype[...
- NumPy 1.18.0 Release Notes
...yDataType_ISUNSIZED(descr) now returns False for structured datatypes Previously this returned True for any datatype of itemsize 0, but now this returns false for the non-flexible datatype with itemsize 0, np.dtype([]). (gh-14393) New Fe...
- NumPy 1.22.0 Release Notes
...({"names": ["a"], "formats": [int], "offsets": [2]}) is now dtype({'names': ['a'], 'formats': ['<i8'], 'offsets': [2], 'itemsize': 10}), whereas spaces where previously omitted after colons and between fields. The old behavior can be restor...
- NumPy 1.23.0 Release Notes
...s requested but the value is formatted as a floating point number. (gh-21663) Expired deprecations The NpzFile.iteritems() and NpzFile.iterkeys() methods have been removed as part of the continued removal of Python 2 compatibility. Thi...
- 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
...are now MUSL wheels. Support the Fujitsu C/C++ compiler. Object arrays are now supported in einsum Support for inplace matrix multiplication (@=). We will be releasing a NumPy 1.26 when Python 3.12 comes out. That is needed because distut...
- NumPy 1.6.0 Release Notes
...que1d, numpy.setmember1d, numpy.intersect1d_nu and numpy.lib.ufunclike.log2 were removed. numpy.ma Several deprecated items were removed from the numpy.ma module: * ``numpy.ma.MaskedArray`` "raw_data" method * ``numpy.ma.MaskedArray`` con...
- NumPy 1.7.2 Release Notes
...umber of array elements gh-2485: Fix for astype(‘S’) string truncate issue gh-3312: bug in count_nonzero gh-2684: numpy.ma.average casts complex to float under certain conditions gh-2403: masked array with named components does not behave a...
- 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
...hon scalar instead. np.round_ has been removed. Use np.round instead. np.nbytes has been removed. Use np.dtype(<dtype>).itemsize instead. (gh-24477) np.compare_chararrays has been removed from the main namespace. Use np.char.compare_charar...
- 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
...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.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
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.convolve...
- 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
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.filled...
- 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
...uffer interface. dtypedata-type, optionalData-type of the returned array; default: float. countint, optionalNumber of items to read. -1 means all data in the buffer. offsetint, optionalStart reading the buffer from this offset (in bytes)...
- 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 reference NumPy’s module structure Masked array operations numpy.ma.getmaskarray...
- numpy.ma.harden_mask
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.harden_mask...
- numpy.ma.identity
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.identity...
- numpy.ma.indices
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.indices...
- 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.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.mask_rowcols
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.mask_rowcols...
- 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.argsort
...numpy.ma.masked_array.argsort...
- numpy.ma.masked_array.compress
...numpy.ma.masked_array.compress...
- numpy.ma.masked_array.compressed
...numpy.ma.masked_array.compressed...
- numpy.ma.masked_array.cumprod
...numpy.ma.masked_array.cumprod...
- numpy.ma.masked_array.cumsum
...numpy.ma.masked_array.cumsum...
- numpy.ma.masked_array.filled
...numpy.ma.masked_array.filled...
- numpy.ma.masked_array.flags
...arbitrary if arr.shape[dim] == 1 or the array has no elements. It does not generally hold that self.strides[-1] == self.itemsize for C-style contiguous arrays or self.strides[0] == self.itemsize for Fortran-style contiguous arrays is true....
- 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.harden_mask
...numpy.ma.masked_array.harden_mask...
- numpy.ma.masked_array.hardmask
...numpy.ma.masked_array.hardmask...
- numpy.ma.masked_array.imag
...numpy.ma.masked_array.imag...
- numpy.ma.masked_array.itemsize
...numpy.ma.masked_array.itemsize...
- numpy.ma.masked_array.mT
...numpy.ma.masked_array.mT...
- numpy.ma.masked_array.nbytes
...xamples >>> import numpy as np >>> x = np.zeros((3,5,2), dtype=np.complex128) >>> x.nbytes 480 >>> np.prod(x.shape) * x.itemsize 480...
- numpy.ma.masked_array.ptp
...numpy.ma.masked_array.ptp...
- numpy.ma.masked_array.ravel
...numpy.ma.masked_array.ravel...
- numpy.ma.masked_array.real
...numpy.ma.masked_array.real...
- numpy.ma.masked_array.soften_mask
...numpy.ma.masked_array.soften_mask...
- numpy.ma.masked_array.strides
...20, 21, 22, 23]]]) >>> y.strides (48, 16, 4) >>> y[1,1,1] 17 >>> 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) >>>...
- numpy.ma.masked_array.take
...numpy.ma.masked_array.take...
- numpy.ma.masked_array.tobytes
...numpy.ma.masked_array.tobytes...
- numpy.ma.masked_array.view
...numpy.ma.masked_array.view...
- numpy.ma.masked_equal
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.masked_equal...
- numpy.ma.masked_object
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.masked_object...
- numpy.ma.masked_values
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.masked_values...
- numpy.ma.masked_where
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.masked_where...
- numpy.ma.MaskedArray.__abs__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__abs__...
- numpy.ma.MaskedArray.__add__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__add__...
- numpy.ma.MaskedArray.__and__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__and__...
- numpy.ma.MaskedArray.__array__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__array__...
- numpy.ma.MaskedArray.__array_priority__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__array_priority__...
- numpy.ma.MaskedArray.__array_wrap__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__array_wrap__...
- numpy.ma.MaskedArray.__bool__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__bool__...
- numpy.ma.MaskedArray.__contains__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__contains__...
- numpy.ma.MaskedArray.__copy__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__copy__...
- numpy.ma.MaskedArray.__deepcopy__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__deepcopy__...
- numpy.ma.MaskedArray.__delitem__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__delitem__...
- numpy.ma.MaskedArray.__div__
...NumPy reference Array objects Masked arrays Constants of the numpy.ma module 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