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Tag: timestamp

Creating date range pairs in pandas

I have two datetimes between which I would like to generate regular intervals of 4 hours (excluding the last interval, which can be less than 4 hours if there are less than 4 hours between the previous timestamp and end). I am stuck on interval generation with pandas.date_range, which only returns the end timestamp. For example: The aim is to

Resampling timestamps in a CSV

I have a CSV file that stores data from different smartphone sensors. The timestamps are elapsed nanoseconds since the program to record the data was started. Short example: The time steps between the timestamps are not equal, but I would like them to be. My question is how to achieve this? I was thinking about simply downsampling the nanoseconds to

How to write timestamp to txt file when milliseconds are zeroes in python

I’m extracting create timestamp from DB/2 table and writing it to a txt file to be used in later processing. Python writes the timestamp correctly except when the milliseconds are zeroes. When the milliseconds are zeroes, it does not write the milliseconds. How can I make it write the zero milliseconds? The timestamps on the table are: I expect to

Convert datetime to Unix timestamp and convert it back in python

I have dt = datetime(2013,9,1,11), and I would like to get a Unix timestamp of this datetime object. When I do (dt – datetime(1970,1,1)).total_seconds() I got the timestamp 1378033200. When converting it back using datetime.fromtimestamp I got datetime.datetime(2013, 9, 1, 6, 0). The hour doesn’t match. What did I miss here? Answer What you missed here is timezones. Presumably you’ve

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