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,
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.
*10**9
This is nice since it allows you to use functions such as .date() or .tz_localize() on the series.
.date()
.tz_localize()