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Jan 20th, 2019
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  1. import numpy as np
  2. a = np.array([['2018-04-01T15:30:00'],
  3. ['2018-04-01T15:31:00'],
  4. ['2018-04-01T15:32:00'],
  5. ['2018-04-01T15:33:00'],
  6. ['2018-04-01T15:34:00']], dtype='datetime64[s]')
  7. c = np.array([0,1,2,3,4]).reshape(-1,1)
  8. c = c.astype("object")
  9. d = np.append(c,a,axis=1)
  10. d
  11.  
  12. array([[0, datetime.datetime(2018, 4, 1, 15, 30)],
  13. [1, datetime.datetime(2018, 4, 1, 15, 31)],
  14. [2, datetime.datetime(2018, 4, 1, 15, 32)],
  15. [3, datetime.datetime(2018, 4, 1, 15, 33)],
  16. [4, datetime.datetime(2018, 4, 1, 15, 34)]], dtype=object)
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