Subroutine */

Return Pearson product-moment correlation coefficients. Please refer to the documentation for `cov` for more detail. The relationship b

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

Return a new array with sub-arrays along an axis deleted. For a one dimensional array, this returns those entries not returned by `arr[ob

Subroutine */

Return (x1 == x2) element-wise. Unlike `numpy.equal`, this comparison is performed by first stripping whitespace characters from the end

Return a set of CPU features that implied by 'names' Parameters ---------- names : str or sequence of str

Fill the main diagonal of the given array of any dimensionality. For an array `a` with ``a.ndim >= 2``, the diagonal is the list of locations

Reverse the order of elements along axis 0 (up/down). For a 2-D array, this flips the entries in each column in the up/down direction. R

Creates a mrecarray from a (flat) list of masked arrays. Parameters ---------- arraylist : sequence A list of (masked) array

Return (x1 >= x2) element-wise. Unlike `numpy.greater_equal`, this comparison is performed by first stripping whitespace characters from

Stack arrays in sequence horizontally (column wise). This is equivalent to concatenation along the second axis, except for 1-D arrays wh

* Returns 1 if the given year is a leap year, 0 otherwise. */

Returns true for each element if all characters in the string are digits and there is at least one character, false otherwise. Calls `st

Returns true for each element if there are only whitespace characters in the string and there is at least one character, false otherwise.

Mask an array where equal to a given value. Return a MaskedArray, masked where the data in array `x` are equal to `value`. The fill_valu

Compute the median along the specified axis. Returns the median of the array elements. Parameters ---------- a : array_like

Return the indices of the elements that are non-zero. Returns a tuple of arrays, one for each dimension of `a`, containing the indices o

Return (x1 != x2) element-wise. Unlike `numpy.not_equal`, this comparison is performed by first stripping whitespace characters from the

* return true if pointer is aligned to 'alignment' */

* Always returns -1 to indicate the exception was raised, for convenience */

For each element in `self`, return the highest index in the string where substring `sub` is found, such that `sub` is contained

* Slightly optimised reference implementation of the Mersenne Twister * Note that regardless of the precision of long, only 32 bit random * integers

Subroutine */

* Determine whether two arrays share some memory. * * Returns: 0 (no shared memory), 1 (shared memory), or < 0 (failed to solve). * * Note that fa

Return a sorted copy of the masked array. Equivalent to creating a copy of the array and applying the MaskedArray ``sort()`` method.

Subroutine */

* Helper function that takes Dragon4 parameters and options and * calls Dragon4. */

NUMPY_API * Whether the iterator is tracking a multi-index */

NUMPY_API * Resets the iterator to its initial state, with new base data pointers. * This function requires great caution. * * If errmsg is non-NU

* Print special case values for infinities and NaNs. * The output string is always NUL terminated and the string length (not * including the NUL) is

NUMPY_API * For backward compatibility * * Cast an array using typecode structure. * steals reference to dtype --- cannot be NULL * * This funct

NUMPY_API * * This function populates the first ndim elements * of strideperm with sorted descending by their absolute values. * For example, the

NUMPY_API * Empty * * accepts NULL type * steals a reference to type */

* Fetch the casting implementation from one DType to another. * * @params from * @params to * * @returns A castingimpl (PyArrayDTypeMethod *), No

NUMPY_API * Return the policy that will be used to allocate data * for the next PyArrayObject. On failure, return NULL. */

NUMPY_API * Allocates memory for array data. */

* Function to add a new loop to the ufunc. This mainly appends it to the * list (as it currently is just a list). * * @param ufunc The universal f

* This function applies special type resolution rules for the case * where all of the types in the signature are the same, eg XX->X or XX->XX. * It

Return a 3-tuple for pickling a MaskedArray.

Check whether there are masked values along the given axis

Compare self with other using operator.eq or operator.ne. When either of the elements is masked, the result is masked as well, but th

Convert `x` to complex if it has real, negative components. Otherwise, output is just the array version of the input (via asarray). Paramete

Construct tuple of slices to slice an array in the given dimension. Parameters ---------- sl : slice The slice for the given

Return object as ARRAY expression (array constant).

Return object as STRING expression (string literal constant).

Return object as TERNARY expression (cond?expr1:expr2).

View inputs as arrays with at least three dimensions. Parameters ---------- arys1, arys2, ... : array_like One or more array

Updates the information in the current information with respect to these flags: extra_compile_args extra_link_args

Subroutine */

* The only purpose of this function is that it allows the "rstrip". * From my (@seberg's) perspective, this function should be deprecated * and I do

* Computes the GCD of the two date-time metadata values. Raises * an exception if there is no reasonable GCD, such as with * years and days. * * T

* Converts a datetime based on the given metadata into a datetimestruct */

* Convert an array shape to a string such as "(1, 2)". * * @param Dimensionality of the shape * @param npy_intp pointer to shape array * @param St

Return Pearson product-moment correlation coefficients. Except for the handling of missing data this function does the same as `numpy.co

Subroutine */

Subroutine */

Subroutine */

Use importlib machinery to import a module `modname` from the file `modfile`. Depending on the `spec.loader`, the module may not be regis

Write any changes in the array to the file on disk. For further information, see `memmap`. Parameters ----------