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- numpy.indices
...NumPy reference Routines and objects by topic Indexing routines numpy.indices...
- numpy.indices (Python function, in numpy.indices)
- numpy.ma.indices (Python data, in numpy.ma.indices)
numpy.distutils
user guide...The number of comma-separated words in ‘<…>’ determines the number of times the block is repeated. What these words are indicates what that repeat rule, ‘<…>’, should be replaced with in each block. All of the repeat rules in a block must c...
- Array creation
...2235]], [[0.7611397 , 0.78606431], [0.12811363, 0.45038594], [0.37079802, 0.92676499]]]) numpy.indices will create a set of arrays (stacked as a one-higher dimensioned array), one per dimension with each representin...
- Array iterator API
...also not buffered and no index is being tracked (NpyIter_RemoveAxis can be called), then the iterator size can be -1 to indicate that the iterator is too large. This can happen due to complex broadcasting and will result in errors being cre...
- Constants of the
numpy.ma
module..._array(data=[1, --, --], mask=[False, True, True], fill_value=999999) numpy.ma.nomask Value indicating that a masked array has no invalid entry. nomask is used internally to speed up computations when the mask is...
- Data types
...rchangeably (the primary exception is for versions of Python older than v2.x, where integer array scalars cannot act as indices for lists and tuples). There are some exceptions, such as when code requires very specific attributes of a scal...
- For downstream package authors
...mpliant, versioning scheme: major.minor.bugfix. A major release is highly unusual and if it happens it will most likely indicate an ABI break. NumPy 1.xx releases happened from 2006 to 2023; NumPy 2.0 in early 2024 is the first release whic...
- How to contribute to the NumPy documentation
...ses where: Google has no guidance, or We prefer not to use the Google style Our current rules: We pluralize index as indices rather than indexes, following the precedent of numpy.indices. For consistency we also pluralize matrix as matri...
- How to extend NumPy
...rray (usually statically declared) of PyMethodDef structures which contain method names, actual C-functions, a variable indicating whether the method uses keyword arguments or not, and docstrings. These are explained in the next section. If...
- How to index
ndarrays
...s can also be used to index: >>> y = 0 >>> a[y, :, y+3] array([ 3, 8, 13]) Refer to Dealing with variable numbers of indices within programs to see how to use slice and Ellipsis in your index variables. Index columns To index columns, y...
- Indexing on
ndarrays
...ingle element indexing works exactly like that for other standard Python sequences. It is 0-based, and accepts negative indices for indexing from the end of the array. >>> x = np.arange(10) >>> x[2] 2 >>> x[-2] 8 It is not necessary to se...
- Internal organization of NumPy arrays
...s that there are two conflicting conventions for indexing 2-dimensional arrays. Matrix notation uses the first index to indicate which row is being selected and the second index to indicate which column is selected. This is opposite the geo...
- Interoperability with NumPy
...7562209304 We would like this function to work equally well with any NumPy-like array object. NumPy allows a class to indicate that it would like to handle computations in a custom-defined way through the following interfaces: __array_uf...
- NumPy 1.10.0 Release Notes
...h multiple outputs, is deprecated, and will result in a DeprecationWarning now and an error in the future. byte-array indices now raises an IndexError Indexing an ndarray using a byte-string in Python 3 now raises an IndexError instead of...
- NumPy 1.12.0 Release Notes
...all others. That makes picking out the highlights somewhat arbitrary but the following may be of particular interest or indicate areas likely to have future consequences. Order of operations in np.einsum can now be optimized for large spee...
- NumPy 1.15.0 Release Notes
..., x86_64, armv7, armv7s and arm64), and combining these 5 compiled builds products into a single “fat” binary. return_indices keyword added for np.intersect1d New keyword return_indices returns the indices of the two input arrays that cor...
- NumPy 1.16.0 Release Notes
...signatures now allow fixed-size dimensions By using a numerical value in the signature of a generalized ufunc, one can indicate that the given function requires input or output to have dimensions with the given size. E.g., the signature of...
- NumPy 1.16.4 Release Notes
...ons Writeable flag of C-API wrapped arrays When an array is created from the C-API to wrap a pointer to data, the only indication we have of the read-write nature of the data is the writeable flag set during creation. It is dangerous to fo...
- NumPy 1.17.0 Release Notes
...p. Writeable flag of C-API wrapped arrays When an array is created from the C-API to wrap a pointer to data, the only indication we have of the read-write nature of the data is the writeable flag set during creation. It is dangerous to fo...
- NumPy 1.18.0 Release Notes
...ers were moved to _bit_generator, _philox, _pcg64, _sfc64, ``_common, _generator, and _bounded_integers respectively to indicate that they are not part of the public interface. (gh-14608) C API changes PyDataType_ISUNSIZED(descr) now re...
- NumPy 1.19.0 Release Notes
...n an axis argument was passed to a call to ~numpy.insert and ~numpy.delete on a 0d array, the axis and obj argument and indices would be completely ignored. In these cases, insert(arr, "nonsense", 42, axis=0) would actually overwrite the en...
- NumPy 1.20.0 Release Notes
...t Python types were used. The methods have been fixed to handle varying precision correctly. (gh-16815) Boolean array indices with mismatching shapes now properly give IndexError Previously, if a boolean array index matched the size of th...
- NumPy 1.22.1 Release Notes
..., not pandas, in main page #20815: DOC: Update Copyright to 2022 [License] #20819: BUG: Return correctly shaped inverse indices in array_api set…...
- NumPy 1.25.0 Release Notes
...rror message and type when a wrong axes value is passed to ufunc(..., axes=[...])` has changed. The message is now more indicative of the problem, and if the value is mismatched an AxisError will be raised. A TypeError will still be raised...
- NumPy 1.3.0 Release Notes
...a signature of “(i),(i)->()”. This applies the inner product along the last axis of each input, but keeps the remaining indices intact. For example, where a is of shape (3,5,N) and b is of shape (5,N), this will return an output of shape (3...
- NumPy 1.4.0 Release Notes
...0-d arrays, numpy.max and other functions accept only axis=0, axis=-1 and axis=None. Using an out-of-bounds axes is an indication of a bug, so Numpy raises an error for these cases now. Specifying axis > MAX_DIMS is no longer allowed; Nump...
- NumPy 1.6.0 Release Notes
...sion 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 the E...
- NumPy 1.8.0 Release Notes
...orting the shell variable NPY_SEPARATE_COMPILATION=0. For the AdvancedNew iterator the oa_ndim flag should now be -1 to indicate that no op_axes and itershape are passed in. The oa_ndim == 0 case, now indicates a 0-D iteration and op_axes b...
- NumPy 1.8.1 Release Notes
...atch gh-4027: Fix chunked reading of strings longer than BUFFERSIZE gh-4109: Fix object scalar return type of 0-d array indices gh-4018: fix missing check for memory allocation failure in ufuncs gh-4156: high order linalg.norm discards imag...
- NumPy 1.9.0 Release Notes
...t meant to be used outside of numpy; other projects should be using their own copy of this file when needed. Negative indices in C-Api sq_item and sq_ass_item sequence methods When directly accessing the sq_item or sq_ass_item PyObject sl...
- NumPy 2.0.0 Release Notes
..._intp typed arguments. (gh-24888) numpy.fft.helper made private numpy.fft.helper was renamed to numpy.fft._helper to indicate that it is a private submodule. All public functions exported by it should be accessed from numpy.fft. (gh-2494...
- NumPy 2.2.0 Release Notes
...dows, the performance improvements when using multiple threads for OpenBLAS 0.3.26 were reverted. (gh-27147) NumPy now indicates hugepages also for large np.zeros allocations on linux. Thus should generally improve performance. (gh-27808)...
- NumPy C code explanations
...t of bound values and broadcasting errors for advanced indexing. This includes that an Ellipsis is added for incomplete indices for example when a two-dimensional array is indexed with a single integer. The next step depends on the type of...
- NumPy for MATLAB users
...tion. (The @ operator, available since Python 3.5, can be used for conventional matrix multiplication.) MATLAB numbers indices from 1; a(1) is the first element. See note INDEXING NumPy, like Python, numbers indices from 0; a[0] is the fir...
- NumPy project governance and decision-making
...y override the community for the health of the Project, then we will do so, but we will consider reaching this point to indicate a failure in our leadership. Council decision making If it becomes necessary for the Steering Council to produ...
- NumPy quickstart
...dimthe number of axes (dimensions) of the array. ndarray.shapethe dimensions of the array. This is a tuple of integers indicating the size of the array in each dimension. For a matrix with n rows and m columns, shape will be (n,m). The len...
- numpy.__array_namespace_info__.capabilities
...ionary of array API library capabilities. The resulting dictionary has the following keys: “boolean indexing”: boolean indicating whether an array library supports boolean indexing. Always True for NumPy. “data-dependent shapes”: boolean i...
- numpy.apply_along_axis
...is equivalent to (but faster than) the following use of ndindex and s_, which sets each of ii, jj, and kk to a tuple of indices: Ni, Nk = a.shape[:axis], a.shape[axis+1:] for ii in ndindex(Ni): for kk in ndindex(Nk): f = func1d(...
- numpy.argmax
...numpy.argmax numpy.argmax(a, axis=None, out=None, *, keepdims=<no value>)[source] Returns the indices of the maximum values along an axis. Parameters: aarray_likeInput array. axisint, optionalBy default, the ind...
- numpy.argmin
...numpy.argmin numpy.argmin(a, axis=None, out=None, *, keepdims=<no value>)[source] Returns the indices of the minimum values along an axis. Parameters: aarray_likeInput array. axisint, optionalBy default, the ind...
- numpy.argpartition
...rm an indirect partition along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in partitioned order. Parameters: aarray_likeArray...
- numpy.argsort
...numpy.argsort numpy.argsort(a, axis=-1, kind=None, order=None, *, stable=None)[source] Returns the indices that would sort an array. Perform an indirect sort along the given axis using the algorithm specified by the kin...
- numpy.argwhere
...numpy.argwhere numpy.argwhere(a)[source] Find the indices of array elements that are non-zero, grouped by element. Parameters: aarray_likeInput data. Returns: index...
- numpy.array2string
...ffect, do not use. Deprecated since version 1.14.0. formatterdict of callables, optionalIf not None, the keys should indicate the type(s) that the respective formatting function applies to. Callables should return a string. Types that a...
- numpy.busday_count
...unting, which are excluded from the count themselves. weekmaskstr or array_like of bool, optionalA seven-element array indicating which of Monday through Sunday are valid days. May be specified as a length-seven list or array, like [1,1,1,...
- numpy.busday_offset
...hich case to take the first valid day later in time. weekmaskstr or array_like of bool, optionalA seven-element array indicating which of Monday through Sunday are valid days. May be specified as a length-seven list or array, like [1,1,1,...
- numpy.busdaycalendar
...eekmask and holidays cannot be modified. Parameters: weekmaskstr or array_like of bool, optionalA seven-element array indicating which of Monday through Sunday are valid days. May be specified as a length-seven list or array, like [1,1,1,...
- numpy.busdaycalendar.holidays
...numpy.busdaycalendar.holidays attribute busdaycalendar.holidays A copy of the holiday array indicating additional invalid days....
- numpy.busdaycalendar.weekmask
...numpy.busdaycalendar.weekmask attribute busdaycalendar.weekmask A copy of the seven-element boolean mask indicating valid days....
- numpy.char.chararray.argmax
...numpy.char.chararray.argmax method char.chararray.argmax(axis=None, out=None, *, keepdims=False) Return indices of the maximum values along the given axis. Refer to numpy.argmax for full documentation. See also numpy.argma...
- numpy.char.chararray.argmin
...numpy.char.chararray.argmin method char.chararray.argmin(axis=None, out=None, *, keepdims=False) Return indices of the minimum values along the given axis. Refer to numpy.argmin for detailed documentation. See also numpy.a...
- numpy.char.chararray.argpartition
...r.chararray.argpartition method char.chararray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array. Refer to numpy.argpartition for full documentation. See also numpy.argpartiti...
- numpy.char.chararray.argsort
...numpy.char.chararray.argsort method char.chararray.argsort(axis=-1, kind=None, order=None)[source] Returns the indices that would sort this array. Refer to numpy.argsort for full documentation. See also numpy.argsortequivalent fu...
- numpy.char.chararray.nonzero
...numpy.char.chararray.nonzero method char.chararray.nonzero() Return the indices of the elements that are non-zero. Refer to numpy.nonzero for full documentation. See also numpy.nonzeroequiva...
- numpy.char.chararray.put
...numpy.char.chararray.put method char.chararray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer to numpy.put for full documentation...
- numpy.char.chararray.searchsorted
...numpy.char.chararray.searchsorted method char.chararray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in a to maintain order. For full documentation, see numpy.searchsorted S...
- numpy.char.chararray.take
...numpy.char.chararray.take method char.chararray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the given indices. Refer to...
- numpy.char.isdecimal
...acters include digit characters, and all characters that can be used to form decimal-radix numbers, e.g. U+0660, ARABIC-INDIC DIGIT ZERO. Parameters: xarray_like, with StringDType or str_ dtype outndarray, None, or tuple of ndarray and No...
- numpy.choose
...f mode='raise'; use other modes for better performance. mode{‘raise’ (default), ‘wrap’, ‘clip’}, optionalSpecifies how indices outside [0, n-1] will be treated: ‘raise’ : an exception is raised ‘wrap’ : value becomes value mod n ‘clip’ :...
- numpy.cov
..., fweights=None, aweights=None, *, dtype=None)[source] Estimate a covariance matrix, given data and weights. Covariance indicates the level to which two variables vary together. If we examine N-dimensional samples, \(X = [x_1, x_2, ... x_N]...
- numpy.cumulative_prod
...values will be cast if necessary. See Output type determination for more details. include_initialbool, optionalBoolean indicating whether to include the initial value (ones) as the first value in the output. With include_initial=True the s...
- numpy.cumulative_sum
...e type will be cast if necessary. See Output type determination for more details. include_initialbool, optionalBoolean indicating whether to include the initial value (zeros) as the first value in the output. With include_initial=True the...
- numpy.datetime_as_string
...e{‘naive’, ‘UTC’, ‘local’} or tzinfoTimezone information to use when displaying the datetime. If ‘UTC’, end with a Z to indicate UTC time. If ‘local’, convert to the local timezone first, and suffix with a +-#### timezone offset. If a tzinf...
- numpy.delete
...se entries not returned by arr[obj]. Parameters: arrarray_likeInput array. objslice, int, array-like of ints or boolsIndicate indices of sub-arrays to remove along the specified axis. Changed in version 1.19.0: Boolean indices are now t...
- numpy.diag_indices
...NumPy reference Routines and objects by topic Indexing routines numpy.diag_indices...
- numpy.diag_indices_from
...NumPy reference Routines and objects by topic Indexing routines numpy.diag_indices_from...
- numpy.digitize
...numpy.digitize numpy.digitize(x, bins, right=False)[source] Return the indices of the bins to which each value in input array belongs. right order of bins returned index i satisfies Fals...
- numpy.dtype
...baseReturns dtype for the base element of the subarrays, regardless of their dimension or shape. byteorderA character indicating the byte-order of this data-type object. charA unique character code for each of the 21 different built-in t...
- numpy.dtype.byteorder
...numpy.dtype.byteorder attribute dtype.byteorder A character indicating the byte-order of this data-type object. One of: ‘=’ native ‘<’ little-endian ‘>’ big-endian ‘|’ not app...
- numpy.dtype.hasobject
...numpy.dtype.hasobject attribute dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes. Recall that what is ac...
- numpy.dtype.isalignedstruct
...numpy.dtype.isalignedstruct attribute dtype.isalignedstruct Boolean indicating whether the dtype is a struct which maintains field alignment. This flag is sticky, so when combining multipl...
- numpy.dtype.isbuiltin
...numpy.dtype.isbuiltin attribute dtype.isbuiltin Integer indicating how this dtype relates to the built-in dtypes. Read-only. 0 if this is a structured array type, with fields...
- numpy.dtype.isnative
...numpy.dtype.isnative attribute dtype.isnative Boolean indicating whether the byte order of this dtype is native to the platform....
- numpy.einsum
...rated list of subscript labels. An implicit (classical Einstein summation) calculation is performed unless the explicit indicator ‘->’ is included as well as subscript labels of the precise output form. operandslist of array_likeThese are...
- numpy.einsum_path
...eprstrA printable representation of the einsum path. See also einsum, linalg.multi_dot Notes The resulting path indicates which terms of the input contraction should be contracted first, the result of this contraction is then append...
- numpy.exceptions.AxisError
...ption message was provided. This should be the axis as passed by the user, before any normalization to resolve negative indices. New in version 1.22. ndimint, optionalThe number of array dimensions or None if a custom exception message w...
- numpy.exceptions.DTypePromotionError
...correct result and implementation. For these functions the error will typically be chained with a more specific error indicating that no implementation was found for the input dtypes. Typically promotion should be considered “invalid” bet...
- numpy.extract
...that place does the exact opposite of extract. Parameters: conditionarray_likeAn array whose nonzero or True entries indicate the elements of arr to extract. arrarray_likeInput array of the same size as condition. Returns: extractnd...
- numpy.fft.fft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.fft2
...not be None. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.fftn
...hich to compute the FFT. If not given, the last len(s) axes are used, or all axes if s is also not specified. Repeated indices in axes means that the transform over that axis is performed multiple times. Deprecated since version 2.0: If s...
- numpy.fft.hfft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.ifft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.ifft2
...not be None. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.ifftn
...ich to compute the IFFT. If not given, the last len(s) axes are used, or all axes if s is also not specified. Repeated indices in axes means that the inverse transform over that axis is performed multiple times. Deprecated since version 2...
- numpy.fft.ihfft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.irfft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.irfft2
...not be None. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.irfftn
...along this axis, except for the last axis, where s[-1]//2+1 points of the input are used. Along any axis, if the shape indicated by s is smaller than that of the input, the input is cropped. If it is larger, the input is padded with zeros...
- numpy.fft.rfft
...axis is used. norm{“backward”, “ortho”, “forward”}, optionalNormalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor. New...
- numpy.fft.rfft2
- numpy.fft.rfftn
- numpy.fill_diagonal
- numpy.flatnonzero
- numpy.from_dlpack
- numpy.fromfunction
- numpy.genfromtxt
- numpy.indices
- numpy.insert
- numpy.intersect1d
- numpy.is_busday
- numpy.isin
- numpy.lexsort
- numpy.lib.array_utils.normalize_axis_tuple
- numpy.lib.introspect.opt_func_info
- numpy.linalg.matrix_rank
- numpy.linalg.svd
- numpy.linalg.tensorinv
- numpy.linalg.tensorsolve
- numpy.loadtxt
- numpy.ma.apply_along_axis
- numpy.ma.argmax
- numpy.ma.argmin
- numpy.ma.argsort
- numpy.ma.array
- numpy.ma.average
- numpy.ma.choose
- numpy.ma.fix_invalid
- numpy.ma.flatnotmasked_edges
- numpy.ma.fromfunction
- numpy.ma.indices
- numpy.ma.make_mask_none
- numpy.ma.masked_array.argmax
- numpy.ma.masked_array.argmin
- numpy.ma.masked_array.argpartition
- numpy.ma.masked_array.argsort
- numpy.ma.masked_array.iscontiguous
- numpy.ma.masked_array.nonzero
- numpy.ma.masked_array.put
- numpy.ma.masked_array.searchsorted
- numpy.ma.masked_array.take
- numpy.ma.MaskedArray.argmax
- numpy.ma.MaskedArray.argmin
- numpy.ma.MaskedArray.argsort
- numpy.ma.MaskedArray.iscontiguous
- numpy.ma.MaskedArray.nonzero
- numpy.ma.MaskedArray.put
- numpy.ma.MaskedArray.searchsorted
- numpy.ma.MaskedArray.take
- numpy.ma.nonzero
- numpy.ma.notmasked_edges
- numpy.ma.put
- numpy.ma.take
- numpy.mask_indices
- numpy.matrix.argpartition
- numpy.matrix.argsort
- numpy.matrix.nonzero
- numpy.matrix.put
- numpy.matrix.searchsorted
- numpy.matrix.take
- numpy.max
- numpy.memmap.argmax
- numpy.memmap.argmin
- numpy.memmap.argpartition
- numpy.memmap.argsort
- numpy.memmap.nonzero
- numpy.memmap.put
- numpy.memmap.searchsorted
- numpy.memmap.take
- numpy.min
- numpy.nanargmax
- numpy.nanargmin
- numpy.ndarray.argmax
- numpy.ndarray.argmin
- numpy.ndarray.argpartition
- numpy.ndarray.argsort
- numpy.ndarray.nonzero
- numpy.ndarray.put
- numpy.ndarray.searchsorted
- numpy.ndarray.take
- numpy.ndindex
- numpy.nditer
- numpy.nonzero
- numpy.permute_dims
- numpy.polynomial.chebyshev.chebgrid2d
- numpy.polynomial.chebyshev.chebgrid3d
- numpy.polynomial.chebyshev.chebval
- numpy.polynomial.chebyshev.chebval2d
- numpy.polynomial.chebyshev.chebval3d
- numpy.polynomial.chebyshev.chebvander
- numpy.polynomial.chebyshev.chebvander2d
- numpy.polynomial.chebyshev.chebvander3d
- numpy.polynomial.hermite.hermgrid2d
- numpy.polynomial.hermite.hermgrid3d
- numpy.polynomial.hermite.hermval
- numpy.polynomial.hermite.hermval2d
- numpy.polynomial.hermite.hermval3d
- numpy.polynomial.hermite.hermvander
- numpy.polynomial.hermite.hermvander2d
- numpy.polynomial.hermite.hermvander3d
- numpy.polynomial.hermite_e.hermegrid2d
- numpy.polynomial.hermite_e.hermegrid3d
- numpy.polynomial.hermite_e.hermeval
- numpy.polynomial.hermite_e.hermeval2d
- numpy.polynomial.hermite_e.hermeval3d
- numpy.polynomial.hermite_e.hermevander
- numpy.polynomial.hermite_e.hermevander2d
- numpy.polynomial.hermite_e.hermevander3d
- numpy.polynomial.laguerre.laggrid2d
- numpy.polynomial.laguerre.laggrid3d
- numpy.polynomial.laguerre.lagval
- numpy.polynomial.laguerre.lagval2d
- numpy.polynomial.laguerre.lagval3d
- numpy.polynomial.laguerre.lagvander
- numpy.polynomial.laguerre.lagvander2d
- numpy.polynomial.laguerre.lagvander3d
- numpy.polynomial.legendre.leggrid2d
- numpy.polynomial.legendre.leggrid3d
- numpy.polynomial.legendre.legval
- numpy.polynomial.legendre.legval2d
- numpy.polynomial.legendre.legval3d
- numpy.polynomial.legendre.legvander
- numpy.polynomial.legendre.legvander2d
- numpy.polynomial.legendre.legvander3d
- numpy.polynomial.polynomial.polygrid2d
- numpy.polynomial.polynomial.polygrid3d
- numpy.polynomial.polynomial.polyval
- numpy.polynomial.polynomial.polyval2d
- numpy.polynomial.polynomial.polyval3d
- numpy.polynomial.polynomial.polyvalfromroots
- numpy.polynomial.polynomial.polyvander
- numpy.polynomial.polynomial.polyvander2d
- numpy.polynomial.polynomial.polyvander3d
- numpy.put
- numpy.put_along_axis
- numpy.quantile
- numpy.r_
- numpy.random.Generator.multivariate_normal
- numpy.random.Generator.standard_cauchy
- numpy.random.get_state
- numpy.random.multivariate_normal
- numpy.random.RandomState.get_state
- numpy.random.RandomState.multivariate_normal
- numpy.random.RandomState.standard_cauchy
- numpy.random.standard_cauchy
- numpy.ravel_multi_index
- numpy.recarray.argmax
- numpy.recarray.argmin
- numpy.recarray.argpartition
- numpy.recarray.argsort
- numpy.recarray.nonzero
- numpy.recarray.put
- numpy.recarray.searchsorted
- numpy.recarray.take
- numpy.result_type
- numpy.s_
- numpy.searchsorted
- numpy.set_printoptions
- numpy.seterr
- numpy.seterrcall
- numpy.show_config
- numpy.sign
- numpy.split
- numpy.strings.isdecimal
- numpy.take
- numpy.take_along_axis
- numpy.transpose
- numpy.tril_indices
- numpy.tril_indices_from