Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Returns a list of slices corresponding to the masked clumps of a 1-D array. (A "clump" is defined as a contiguous region of the array).

Return list of slices corresponding to the unmasked clumps of a 1-D array. (A "clump" is defined as a contiguous region of the array). P

* Tries to convert 'o' into an npy_intp interpreted as an * index. Returns 1 if it was successful, 0 otherwise. Does * not set an exception. */

Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D ar

Return a scalar type which is common to the input arrays. The return type will always be an inexact (i.e. floating point) scalar type, e

Return sets of objects from all_dict. Will return three sets: {in module_name.__all__}, {in REFGUIDE*}, and {missing from othe

Build extension module from a Fortran 77 source string with f2py. Parameters ---------- source : str or bytes Fortran source

Build an extension module and return the filename of the resulting native code file. Parameters ---------- name : string

Compute md5 hash of files in idirs. Parameters ---------- idirs : directory path Directory containing files to be hashed.

Compute sha256 hash of files in idirs. Parameters ---------- idirs : directory path Directory containing files to be hashed.

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

Return a dictionary of supported CPU features by the platform, and accumulate the rest of undefined options in `conf_features`, the re

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

Check if self contains other.

* Converts a datetimestruct in UTC to a datetimestruct in local time, * also returning the timezone offset applied. This function works for any year

* Converts a PyObject * into a timedelta, in any of the forms supported * * If the units metadata isn't known ahead of time, set meta->base * to -1

* Converts an array of PyObject * into datetimes and/or timedeltas, * based on the values in type_nums. * * If inout_meta->base is -1, uses GCDs to

* Due to the array override, do the actual parameter conversion * only in this step. This function takes the reference objects and * parses them int

* Count the number of dimensions selected in 'axis_flags' */

Counts the number of non-zero values in the array ``a``. The word "non-zero" is in reference to the Python 2.x built-in method ``__nonze

* count number of nonzero bytes in 48 byte block * w must be aligned to 8 bytes * * even though it uses 64 bit types its faster than the bytewise s

Subroutine */

* Create the array of converter functions from the Python converters. */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Return the cumulative product of elements along a given axis. Parameters ---------- a : array_like Input array. axis : i

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Subroutine */

Truncate series to the given degree. Reduce the degree of the series to `deg` by discarding the high order terms. If `deg` is greater

datetime_as_string(arr, unit=None, timezone='naive', casting='same_kind') Convert an array of datetimes into an array of strings. Param

Extracts the month number from a 'datetime64[D]' value */

Subroutine */

r""" Calls ``bytes.decode`` element-wise. The set of available codecs comes from the Python standard library, and may be extended at runt

* The following set of functions define the common dtype operator for * the builtin types. */

* Helper for PyArray_GetDTypeTransferFunction, which fetches a single * transfer function from the each casting implementation (ArrayMethod) * May s

* handler function for PyDelta values * which may also be in a 0 dimensional * NumPy array */

Issues a DeprecationWarning, adds warning to `old_name`'s docstring, rebinds ``old_name.__name__`` and returns the new function object.