Pandas does not convert my array into an array of Timestamps:
a = np.array([1457392827660434006, 1457392828660434012, 1457392829660434023,1457474706167386148])
pd.Timestamp(a)
gives an an error :
TypeError Traceback (most recent call last)
<ipython-input-42-cdf0e494942d> in <module>()
1 a = np.array([1457392827660434006, 1457392828660434012, 1457392829660434023,1457474706167386148])
----> 2 pd.Timestamp(a)
pandas/tslib.pyx in pandas.tslib.Timestamp.__new__ (pandas/tslib.c:8967)()
pandas/tslib.pyx in pandas.tslib.convert_to_tsobject (pandas/tslib.c:23508)()
TypeError: Cannot convert input to Timestamp
Whereas looping on the array elements works just fine :
for i in range(4):
t = pd.Timestamp(a[i])
print t
gives :
2016-03-07 23:20:27.660434006
2016-03-07 23:20:28.660434012
2016-03-07 23:20:29.660434023
2016-03-08 22:05:06.167386148
As expected.
Moreover when that array is my first column in a csv file, it does not get parsed to a TimeStamp automatically, even if I specify parse_date correctly.
Any help please?