我有一行字符串:
poor: <=0.75; intermediate: >0.75 & <=1.25; normal: >1.25 & <= 2.5; High inducibility: >2.5
我想根据上面的字符串创建一个字典,如下所示:
import numpy
dict = {poor: numpy.arange(0, 0.75, 0.05),
intermediate: numpy.arange(0.75, 1.25, 0.05),
normal: numpy.arange(1.25, 2.5, 0.05),
High: numpy.arange(2.5, 5, 0.05)}
那么,在python2.7中有什么好方法可以做到这一点吗?
谢谢!
发布于 2019-04-17 07:03:18
使用np.digitize
import numpy as np
from pprint import pprint
bins = [0.75, 1.25, 2.5]
bin_names = np.array(['poor', 'intermediate', 'normal', 'high'])
data = np.linspace(0, 4, 10, endpoint=False)
result = bin_names[np.digitize(data, bins)]
pprint(list(zip(np.round(data, 1), result)))
输出:
[(0.0, 'poor'),
(0.4, 'poor'),
(0.8, 'intermediate'),
(1.2, 'intermediate'),
(1.6, 'normal'),
(2.0, 'normal'),
(2.4, 'normal'),
(2.8, 'high'),
(3.2, 'high'),
(3.6, 'high')]
https://stackoverflow.com/questions/55717597
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