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matrix multiplication python without numpy

Santino answered on March 20, 2021 Popularity 10/10 Helpfulness 1/10

answer matrix multiplication python without numpy

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matrix multiplication python without numpy

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The Numpythonic approach: (using numpy.dot in order to get the dot product of two matrices)

In [1]: import numpy as np

In [3]: np.dot([1,0,0,1,0,0], [[0,1],[1,1],[1,0],[1,0],[1,1],[0,1]])
Out[3]: array([1, 1])
The Pythonic approach:

The length of your second for loop is len(v) and you attempt to indexing v based on that so you got index Error . As a more pythonic way you can use zip function to get the columns of a list then use starmap and mul within a list comprehension:

In [13]: first,second=[1,0,0,1,0,0], [[0,1],[1,1],[1,0],[1,0],[1,1],[0,1]]

In [14]: from itertools import starmap

In [15]: from operator import mul

In [16]: [sum(starmap(mul, zip(first, col))) for col in zip(*second)]
Out[16]: [1, 1]

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Tags: numpy python

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Contributed on Mar 20 2021

Santino

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matrix multiplication nupy

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numpy.matmul(x1, x2, /, out=None, *, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj, axes, axis]) = <ufunc 'matmul'>
Matrix product of two arrays.

Parameters
x1, x2array_like
Input arrays, scalars not allowed.

outndarray, optional
A location into which the result is stored. If provided, it must have a shape that matches the signature (n,k),(k,m)->(n,m). If not provided or None, a freshly-allocated array is returned.

**kwargs
For other keyword-only arguments, see the ufunc docs.

New in version 1.16: Now handles ufunc kwargs

Returns
yndarray
The matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors.

Raises
ValueError
If the last dimension of x1 is not the same size as the second-to-last dimension of x2.

If a scalar value is passed in.

Popularity 10/10 Helpfulness 3/10 Language python

Source: numpy.org

Tags: python py

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Contributed on Mar 16 2022

Impossible Ibis

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matrix multiplication python without numpy

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