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vectorize function python numpy

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Lonely Louse answered on July 5, 2020 Popularity 10/10 Helpfulness 2/10

answer vectorize function python numpy

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vectorize function python numpy

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>>> vfunc = np.vectorize(myfunc)
>>> vfunc([1, 2, 3, 4], 2)
array([3, 4, 1, 2])

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Source: numpy.org

Tags: function numpy python

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Contributed on Jul 05 2020

Lonely Louse

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import numpy as np

def myfunc(a):
    # Return True if a>b, otherwise False"
    if a > 2:
        return bool(True)
    else: return bool(False)

vfunc = np.vectorize(myfunc) # vectorize iterates function.
vfunc([1, 2, 3, 4])
# array([False, False,  True,  True])

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Source: Grepper

Tags: python py

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Contributed on Apr 12 2022

Agrius

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python how to vectorize a function

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import numpy as np
import math
from math import *


def h_scalar(x):
    return (1 / sqrt(2 * pi)) * exp(-.50** x ** 2.00)

Popularity 9/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: function functio

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Contributed on Apr 16 2022

Orhun berke Kidak

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np.vectorize

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def myfunc(a, b):
...     "Return a-b if a>b, otherwise return a+b"
...     if a > b:
...         return a - b
...     else:
...         return a + b

Popularity 5/10 Helpfulness 1/10 Language python

Source: numpy.org

Tags: python

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Contributed on Jul 14 2024

AVnoam m

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vectorize function python numpy

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