np.array average row
>>> a = np.array([[1, 2], [3, 4]])
>>> np.mean(a)
2.5
>>> np.mean(a, axis=0)
array([2., 3.])
>>> np.mean(a, axis=1)
array([1.5, 3.5])np.array average row
>>> a = np.array([[1, 2], [3, 4]])
>>> np.mean(a)
2.5
>>> np.mean(a, axis=0)
array([2., 3.])
>>> np.mean(a, axis=1)
array([1.5, 3.5])numpy mean
>> import numpy as np
>> a=[1,2,3,4,5]
>> np.mean(a)
3.0mean of a vector in python
>>> import numpy
>>> numbers = [3, 2, 8, 7]
>>> mean = numpy.mean(numbers)
>>> mean
5.0numpy average
import numpy as np
a = np.arange(6).reshape(3,2)
average = np.average(a)python mean ndarray
# define ndarray a
a = np.array([[1, 2], [3, 4]])
# get the mean
np.mean(a, axis=None)Copyright © 2021 Codeinu
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