Python numpy Library Learning

1.numpy.floor (a)

Returns the smallest integer greater than the element

NP.  Array([-1.7-1.5-0.20.21.51.7   2.0])

NP.  Floor(a)array ([ -2., -2., -1., 0., 1., 1., 2.])     

2.np.linspace (0,20,100)
Returns an array of 100 points from 0 to 20

3.hist,bin_edges=np.histogram (A, bins) Note that this function does not necessarily produce exactly the sum of all the hist added and is 1, because bins's group spacing is not necessarily 1. The sum is 1 only if the group spacing is 1.

Here is a workaround for the bug, about why normlized is not equal to 1 confusion.

Http://stackoverflow.com/questions/21532667/numpy-histogram-cumulative-density-does-not-sum-to-1

Python numpy Library Learning