Pandas: Using Unix epoch timestamp as Datetime index

Question

My application involves dealing with data (contained in a CSV) which is of the following form:

Epoch (number of seconds since Jan 1, 1970), Value
1368431149,         


        

Answer 1

Convert them to datetime64[s]:

np.array([1368431149, 1368431150]).astype('datetime64[s]')
# array([2013-05-13 07:45:49, 2013-05-13 07:45:50], dtype=datetime64[s])

Answer 2

You can also use Pandas DatetimeIndex like so

pd.DatetimeIndex(df['timestamp']*10**9)

the *10**9 puts it into the format it's expecting for such timestamps.

This is nice since it allows you to use functions such as .date() or .tz_localize() on the series.

Answer 3

You can also use pandas to_datetime:

df['datetime'] = pd.to_datetime(df["timestamp"], unit='s')

This method requires Pandas 0.18 or later.