np arange
np.arange([start], stop, [step])
>>> np.arange(10) # stop
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10)
array([2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10, 2)
array([2, 4, 6, 8])np arange
np.arange([start], stop, [step])
>>> np.arange(10) # stop
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10)
array([2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10, 2)
array([2, 4, 6, 8])np.arange in python
>>> np.arange(3)
array([0, 1, 2])
>>> np.arange(3.0)
array([ 0., 1., 2.])
>>> np.arange(3,7)
array([3, 4, 5, 6])
>>> np.arange(3,7,2)
array([3, 5])np arange shape
np.arange(12).reshape(3,4)python array use numpy arange
import numpy as np
e = np.arange(0, 1, 0.3)
print(e)numpy arange
arange() NumPy arange() is one of the array creation routines based on numerical
ranges.
It creates an instance of ndarray with evenly spaced values and returns the
reference to it.Copyright © 2021 Codeinu
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