Return a new array with fields in `drop_names` dropped. Nested fields are supported. .. versionchanged:: 1.18.0 `drop_fields` r

Returns the dtype unchanged if it contained no metadata or a copy of the dtype if it (or any of its structure dtypes) contained metadata.

Split array into multiple sub-arrays along the 3rd axis (depth). Please refer to the `split` documentation. `dsplit` is equivalent to `

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Provides an ordering for the dtype 'kind' character codes */

* Provides an ordering for the dtype 'kind' character codes, to help * determine when to use the min_scalar_type function. This groups * 'kind' into

Get a serializable descriptor from the dtype. The .descr attribute of a dtype object cannot be round-tripped through the dtype() constru

Convenience function to create a `np.dtype` object. The function processes the input `dtype` and matches it with the given names. P

The differences between consecutive elements of an array. Parameters ---------- ary : array_like If necessary, will be flatt

Compute the eigenvalues of a general matrix. Main difference between `eigvals` and `eig`: the eigenvectors aren't returned. Paramet

Replace quoted substrings of input string. Return a new string and a mapping of replacements.

Return the elements of an array that satisfy some condition. This is equivalent to ``np.compress(ravel(condition), ravel(arr))``. If `c

Raises an assertion error if two items are equal.

* optimize float array or complex array to a scalar power * returns 0 on success, -1 if no optimization is possible * the result is in value (can be

Return list of features in 'names' after remove any implied features and keep the origins. Parameters ----------

Return a list of CPU features that required to be detected sorted from the lowest to highest interest.

Return a list of supported extra checks after testing them against the compiler. Parameters ---------- names

Returns a set of CPU feature names that supported by platform and the **C** compiler. Parameters ---------- names :

Compute the one-dimensional discrete Fourier Transform. This function computes the one-dimensional *n*-point discrete Fourier Transform

Filter files by prefix and suffix.

Return four lists of filenames containing C, C++, Fortran, and Fortran 90 module sources, respectively.

* Return the correct descriptor given an array object and a DType class. * * This is identical to casting the arrays descriptor/dtype to the new *

Find the duplicates in a structured array along a given key Parameters ---------- a : array-like Input array key : {stri

* Finds the earliest holiday which is on or after 'date'. If 'date' does not * appear within the holiday range, returns 'holidays_begin' if 'date' *

Go through the self.executables dictionary, and attempt to find and assign appropriate executables. Executable names are looked for i

Find contiguous unmasked data in a masked array. Parameters ---------- a : array_like The input array. Returns ----

Unpack a structured data-type by collapsing nested fields and/or fields with a shape. Note that the field names are lost. Parameter

Returns a completely flattened version of the mask, where nested fields are collapsed. Parameters ---------- mask : array_like

Flatten a structured array. The data type of the output is chosen such that it can represent all of the (nested) fields. Parameters

Array API compatible wrapper for :py:func:`np.floor_divide <numpy.floor_divide>`. See its docstring for more information.

This is a second way to initialize StructuredVoidFormat, using the raw data as input. Added to avoid changing the signature of __init

Create a record array from a (flat) list of arrays Parameters ---------- arrayList : list or tuple List of array-like objects (su

Creates a MaskedRecords from a list of records. Parameters ---------- reclist : sequence A list of records. Each element of

Create an expression from a string. This is a "lazy" parser, that is, only arithmetic operations are resolved, non-arithmetic operations are

Given a dll file location, get all its exported symbols and dump them into the given def file. The .def file will be overwritten

Load data from a text file, with missing values handled as specified. Each line past the first `skip_header` lines is split at the `delimite

Get a routine from the library. Will add if it's not found.

Return a copy of the __all__ dict with irrelevant items removed. Parameters ---------- module : ModuleType The module whose

* Helper to convert from vectorcall convention, since the protocol requires * args and kwargs to be passed as tuple and dict explicitly. * We always

Generates a cached random array that covers several scenarios that may affect the benchmark for fairness and to stabilize the benchmark.

* Computes the conversion factor to convert data with 'src_meta' metadata * into data with 'dst_meta' metadata. * * If overflow occurs, both out_nu

* Provides a string length to use for converting datetime * objects with the given local and unit settings. */

Returns a dictionary with fields indexing lists of their parent fields. This function is used to simplify access to fields nested in other f

* Collects arguments with __array_function__ and their corresponding methods * in the order in which they should be tried (i.e., skipping redundant t

Return an info dict for a given C library. The info dict contains the necessary options to use the C library. Parameters ----------

* Wraps `localtime` functionality for multiple platforms. This * converts a time value to a time structure in the local timezone. * If size(NPY_TIME

Return the ndarray.__array_function__ method. */

Get the signature from obj

Get information about the arguments accepted by a code object. Three things are returned: (args, varargs, varkw), where 'args' is a list of a

Get the names and default values of a function's arguments. A tuple of four things is returned: (args, varargs, varkw, defaults). 'args' is a