Numpy API Analysis, numpyapianalysis

Numpy API Analysis, 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 (threshold), for example:

Bins	Contains number	Result
[0.-0.4)	0	1
[0.4-0.8)	N/	0
[0.8-1.2)	1	1
[1.2-1.6)	N/	0
[1.6-2 .)	N/	0
[2.-2.4)	2	1
[2.4-2.8)	N/	0
[2.8-3.2)	3	1
[3.2-3.6)	N/	0
[3.6-4.]	4	1

[0.-0.4) contains 0, so result is 1

[0.4-0.8) does not contain any number in [0 1 2 3 4], so result is 0
[0.8-1.2) contains 1, so result is 1
[1.2-1.6) does not contain any number in [0 1 2 3 4], so result is 0
[1.6-2.) does not contain any number in [0 1 2 3 4], so result is 0

[2.-2.4) contains 2, so result is 1

[2.4-2.8) does not contain any number in [0 1 2 3 4], so result is 0

[2.8-3.2) contains 3, so result is 1

[3.2-3.6) does not contain any number in [0 1 2 3 4], so result is 0

[3.6-4.] contains 4, so result is 1