Search
Searching..
- numpy.ma.MaskedArray.flat
...Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.flat...
- numpy.ma.MaskedArray.flatten
...Py reference NumPy’s module structure Masked array operations numpy.ma.MaskedArray.flatten...
- numpy.ma.MaskedArray.flat (Python property, in numpy.ma.MaskedArray.flat)
- Constants of the
numpy.mamodule...kedArray.imag The imaginary part of the masked array. MaskedArray.real The real part of the masked array. MaskedArray.flat Return a flat iterator, or set a flattened version of self to value. MaskedArray.__array_priority__ Masked...
- 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
...rguments for array ordering It is currently possible to pass in arguments for the order parameter in methods like array.flatten or array.ravel that were not one of the following: ‘C’, ‘F’, ‘A’, ‘K’ (note that all of these possible values ar...
- 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 1.12.0 Release Notes
...y given axis. np.count_nonzero now has an axis parameter, allowing non-zero counts to be generated on more than just a flattened array object. BLIS support in numpy.distutils Building against the BLAS implementation provided by the BLIS...
- 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
...ision times the largest of the input array dimensions. A FutureWarning is issued when rcond is not passed explicitly. a.flat.__array__() will return a writeable copy of a when a is non-contiguous. Previously it returned an UPDATEIFCOPY arr...
- NumPy 1.15.0 Release Notes
...numpy added __array_interface__ attributes to all the integer types from ctypes. np.ma.notmasked_contiguous and np.ma.flatnotmasked_contiguous always return lists This is the documented behavior, but previously the result could be any of...
- 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
...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
...dimension specifications. Other new functions numpy.ravel_multi_index : Converts a multi-index tuple into an array of flat indices, applying boundary modes to the indices. numpy.einsum : Evaluate the Einstein summation convention. Using...
- 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
...the value array was too small or did not match. Code using this will raise an error. For compatibility you can use arr.flat[index] = values, which uses the old code branch. (for example a = np.ones(10); a[np.arange(10)] = [1, 2, 3]) The i...
- NumPy 2.0.0 Release Notes
...tTo, PyArray_CastAnyTo are removed use PyArray_CopyInto and if absolutely needed PyArray_CopyAnyInto (the latter does a flat copy). PyArray_FillObjectArray is removed, its only true use was for implementing np.empty. Create a new empty arr...
- 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
...(the first, by default). axisint, optionalThe axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0. outndarray, optionalIf provided, the destination to place the result. The shape mu...
- numpy.concatenate
...(the first, by default). axisint, optionalThe axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0. outndarray, optionalIf provided, the destination to place the result. The shape mu...
- numpy.ma.append
...e of the correct shape (the same shape as a, excluding axis). If axis is not specified, b can be any shape and will be flattened before use. axisint, optionalThe axis along which v are appended. If axis is not given, both a and b are fla...
- numpy.ma.arange
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.arange...
- numpy.ma.argsort
...are filled beforehand to fill_value. Parameters: axisint, optionalAxis along which to sort. If None, the default, the flattened array is used. kind{‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, optionalThe sorting algorithm used. ord...
- 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
...rrarray_likeAn array with (possibly) masked elements. axisint, optionalAxis along which to count. If None (default), a flattened version of the array is used. Returns: countint, ndarrayThe total number of masked elements (axis=None) or...
- 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
...previous numpy.ma.diagflat next numpy.ma.empty_like...
- 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
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.frombuffer...
- numpy.ma.fromflex
...previous numpy.ma.flatten_structured_array next numpy.ma.indices...
- 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
...nomask (False). Must be a 2D array. axisint, optionalAxis along which to perform the operation. If None, applies to a flattened version of the array. Returns: aMaskedArrayA modified version of the input array, masked depending on the...
- 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
...are filled beforehand to fill_value. Parameters: axisint, optionalAxis along which to sort. If None, the default, the flattened array is used. kind{‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, optionalThe sorting algorithm used. ord...
- 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.flat
...numpy.ma.masked_array.flat...
- numpy.ma.masked_array.flatten
...numpy.ma.masked_array.flatten...
- 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.item
...which element is copied into a standard Python scalar object and returned. int_type: this argument is interpreted as a flat index into the array, specifying which element to copy and return. tuple of int_types: functions as does a single i...
- numpy.ma.masked_array.mT
...numpy.ma.masked_array.mT...
- numpy.ma.masked_array.ptp
...ound is shown below. Parameters: axis{None, int}, optionalAxis along which to find the peaks. If None (default) the flattened array is used. out{None, array_like}, optionalAlternative output array in which to place the result. It must...
- numpy.ma.masked_array.put
...array.put(indices, values, mode='raise')[source] Set storage-indexed locations to corresponding values. Sets self._data.flat[n] = values[n] for each n in indices. If values is shorter than indices then it will repeat. If values has some mas...
- 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.take
...ues to extract. Also allow scalars for indices. axisint, optionalThe axis over which to select values. By default, the flattened input array is used. outMaskedArray, optionalIf provided, the result will be placed in this array. It should...
- 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__
...previous numpy.ma.MaskedArray.flat next numpy.ma.MaskedArray.__float__...
- 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 reference Array objects Masked arrays Constants of the numpy.ma module 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