from numpy import genfromtxt
dataPoints = genfromtxt(temp.csv, dtype='datetime64[D],i8',delimiter=' ')
CSV文件:temp.csv
2014-05-19 10
2014-05-20 11
2014-05-21 12
输出 print(dataPoints)
[ nan 10.]
[ nan 11.]
[ nan 12.]
修改
[1969-12-31 00:00:00 1970-01-11 00:00:00]
[1969-12-31 00:00:00 1970-01-12 00:00:00]
[1969-12-31 00:00:00 1970-01-13 00:00:00]
[1969-12-31 00:00:00 1970-01-14 00:00:00]
[1969-12-31 00:00:00 1970-01-13 00:00:00]
答案 0 :(得分:4)
告诉NumPy期待什么类型。 E.g:
>>> genfromtxt('temp.csv', dtype='datetime64[D],i8')
array([(datetime.date(2014, 5, 19), 10L),
(datetime.date(2014, 5, 20), 11L), (datetime.date(2014, 5, 21), 12L)],
dtype=[('f0', '<M8[D]'), ('f1', '<i8')])