Create a memory-map to an array stored in a binary file on disk.| numpy.org
Sum of array elements over a given axis.| numpy.org
indicesarray_likeAn integer array whose elements are indices into the flattened| numpy.org
Take values from the input array by matching 1d index and data slices.| numpy.org
Return indices of the maximum values along the given axis.| numpy.org
Returns the indices of the minimum values along an axis.| numpy.org
Return the maximum of an array or maximum along an axis.| numpy.org
Powerful N-dimensional arrays Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. Numerical computing tools NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. Open source Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Interoperable NumPy ...| numpy.org
Array types and conversions between types#| numpy.org
Structured datatypes#| numpy.org
xpython float or numpy floating scalarValue to format.| numpy.org
xpython float or numpy floating scalarValue to format.| numpy.org
Basic datetimes#| numpy.org
© Copyright 2008-2025 NumPy. All rights reserved.| numpy.org
Create a data type object.| numpy.org
Dictionary of named fields defined for this data type, or None.| numpy.org
shape (required)Tuple whose elements are the array size in each dimension. Each| numpy.org
Any class, ndarray subclass or not, can define this method or set it to| numpy.org
Getting started| numpy.org
Find the unique elements of an array.| numpy.org
Linear algebra#| numpy.org
An example on integer_like:| numpy.org
Matrix product of two arrays.| numpy.org
Compute the dot product of two or more arrays in a single function call,| numpy.org
Evaluates the Einstein summation convention on the operands.| numpy.org
Returns the indices of the maximum values along an axis.| numpy.org
Built-in scalar types#| numpy.org
Type casting hierarchy#| numpy.org
The N-dimensional array (ndarray)#| numpy.org
Specifying and constructing data types#| numpy.org
Dot product of two arrays. Specifically,| numpy.org
The basics#| numpy.org
Test support (numpy.testing)#| numpy.org
Returns a boolean array where two arrays are element-wise equal within a| numpy.org
Basic indexing#| numpy.org
Returns an object that acts like pyfunc, but takes arrays as input.| numpy.org
Join a sequence of arrays along an existing axis.| numpy.org
Optional keyword arguments#| numpy.org
Broadcasting#| numpy.org
(n,)#A parenthesized number followed by a comma denotes a tuple with one| numpy.org
Detailed description#| numpy.org
An array object represents a multidimensional, homogeneous array| numpy.org