numpy.digitize(x, bins, right = False)
parameter:
x: numpy array
bins: a monotonically-dimensional array must be ascending or descending
right: the right-most interval contains
Return Value: x position of the bins.
Example usage:
AS NP numpy Import
bins = np.array (Range (-99, 102,. 3))
A = np.digitize (-98, bins). 1 # A =
B = np.digitize (68, bins) = B # 56 is
Print (a)
Print (B)
bins is -99 to 102 (102 not eligible) values ([-99, -96, -93, ..., 93, 96, 99]).
The return value is the value 0 in [-∞, -99) interval,
In [-99, -96) returns a value of 1 interval,
...
In the [102, + ∞) section 66 returns a value.
Therefore, a value of 1, b is a value of 56.
----------------
Disclaimer: This article is CSDN blogger "Zhang Ocean sky" in the original article, follow the CC 4.0 BY-SA copyright agreement, reproduced, please attach the original source and link this statement.
Original link: https: //blog.csdn.net/zby1001/article/details/86616056
