numpy使用
python数据分析三大模块,pandas、numpy、matplotlib,这里是numpy。

numpy中的日期操作:
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| import numpy as np
np.arange('2016-07-01', '2016-07-05', dtype='datetime64[D]')
array(['2016-07-01', '2016-07-02', '2016-07-03', '2016-07-04'], dtype='datetime64[D]')
np.datetime64('today', 'D')
numpy.datetime64('2020-06-14')
yesterday = np.datetime64('2016-07-01', 'D') - np.timedelta64(1, 'D') today = np.datetime64('today', 'D') tomorrow = np.datetime64('today', 'D') + np.timedelta64(1, 'D') print ("2016-07-01的Yesterday is " + str(yesterday)) print ("Today is " + str(today)) print ("Tomorrow is "+ str(tomorrow))
2016-07-01的Yesterday is 2016-06-30 Today is 2020-06-14 Tomorrow is 2020-06-15
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内容见以下附件
8.numpy生成随机数.html