Pandas converting row with unix timestamp (in milliseconds) to datetime

Question

I need to process a huge amount of CSV files where the time stamp is always a string representing the unix timestamp in milliseconds. I could not find a method yet to modify

Answer 1

You can do this as a post processing step using to_datetime and passing arg unit='ms':

In [5]:
df['UNIXTIME'] = pd.to_datetime(df['UNIXTIME'], unit='ms')
df

Out[5]:
   RUN                UNIXTIME  VALUE
0    1 2015-11-10 13:05:02.320     10
1    2 2015-11-10 13:05:02.364     20
2    3 2015-11-10 13:05:22.364     42