NumpyAPIAnalysis

histogram

?

>>> a = numpy.arange(5)

>>> hist, bin_edges = numpy.histogram(a,density=False)

>>> hist, bin_edges

(array([1, 0, 1, 0, 0, 1, 0, 1, 0, 1], dtype=int64), array([ 0. , 0.4, 0.8, 1.2, 1.6, 2. , 2.4, 2.8, 3.2, 3.6, 4. ]))

?

Analysis:

Variable a is [0 1 2 3 4] After call histogram, it will calculate the total count each number in a= [0 1 2 3 4] according to each bins( 阈值 ), for example:

bins

Contains number

result

[0.-0.4)

0

1

[0.4-0.8)

N/A

0

[0.8-1.2)

1

1

[1.2-1.6)

N/A

0

[1.6-2.)

N/A

0

[2.-2.4)

2

1

[2.4-2.8)

N/A

0

[2.8-3.2)

3

1

[3.2-3.6)

N/A

0

[3.6-4.]

4

1

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