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- Data type routines > Miscellaneous
...ta type kind. issubdtype(arg1, arg2) Returns True if first argument is a typecode lower/equal in type hierarchy. Miscellaneous typename(char) Return a description for the given data type code. mintypecode(typechars[, typeset, defa...
- Mathematical functions > Miscellaneous
...a[, axis, out, keepdims, initial, where]) Return minimum of an array or minimum along an axis, ignoring any NaNs. Miscellaneous convolve(a, v[, mode]) Returns the discrete, linear convolution of two one-dimensional sequences. clip(...
- Miscellaneous
...Miscellaneous...
- Array API > Miscellaneous Macros
...runtime. The value is now the minimum integer. However, on NumPy 1.x NPY_MAXDIMS was used (at the time set to 32). Miscellaneous Macros int PyArray_SAMESHAPE(PyArrayObject *a1, PyArrayObject *a2) Evaluates as True if arrays a1 and a2...
- Miscellaneous routines
...NumPy reference Routines and objects by topic Miscellaneous routines...
- Array API
...runtime. The value is now the minimum integer. However, on NumPy 1.x NPY_MAXDIMS was used (at the time set to 32). Miscellaneous Macros int PyArray_SAMESHAPE(PyArrayObject *a1, PyArrayObject *a2) Evaluates as True if arrays a1 and a2...
- Data type routines
...ta type kind. issubdtype(arg1, arg2) Returns True if first argument is a typecode lower/equal in type hierarchy. Miscellaneous typename(char) Return a description for the given data type code. mintypecode(typechars[, typeset, defa...
- Mathematical functions
...a[, axis, out, keepdims, initial, where]) Return minimum of an array or minimum along an axis, ignoring any NaNs. Miscellaneous convolve(a, v[, mode]) Returns the discrete, linear convolution of two one-dimensional sequences. clip(...
- Miscellaneous
...Miscellaneous...
- Miscellaneous routines
...NumPy reference Routines and objects by topic Miscellaneous routines...
- NumPy 1.21.0 Release Notes
...Any, have been improved. Where appropriate they have been replaced with explicit function definitions, classes or other miscellaneous objects. (gh-18934) Performance improvements Improved performance in integer division of NumPy arrays...
- NumPy reference
...d output Indexing routines Linear algebra (numpy.linalg) Logic functions Masked array operations Mathematical functions Miscellaneous routines Polynomials Random sampling (numpy.random) Set routines Sorting, searching, and counting Statisti...
- numpy.lib.array_utils
...numpy.lib.array_utils Miscellaneous utils. Functions byte_bounds(a) Returns pointers to the end-points of an array. normalize_axis_index(ax...
- Releasing a version
...intenance branch. The commit heading should contain a [wheel build] directive to test if the wheels build. Other small, miscellaneous fixes may be part of this PR. The commit message might be something like: REL: Prepare for the NumPy 2.1.0...
- Routines and objects by topic
...d output Indexing routines Linear algebra (numpy.linalg) Logic functions Masked array operations Mathematical functions Miscellaneous routines Polynomials Random sampling (numpy.random) Set routines Sorting, searching, and counting Statisti...