Error when using total_seconds to subtract two dates with different formats in Python

I have two different dates and I want to know the difference in seconds between them. My data: I want to add two column to my data frame: My code: This is the error: Answer Use .dt.total_seconds() Ex: Output:

What is the opposite of fromtimestamp()?

I’m trying to figure out how to import a binary file into python, but it’s a lot of guesswork and trial and error. What I’d like to do in this case to is find where a specific date occurs in the bytestream, i.e: Is there a function (or set of functions) that can convert a date into a bytestream? Answer You’re looking for datetime.timestamp(): outputs Then you’ll probably want to use data.index(unix_time_bytes) to look for the string, not regexps.

python pandas merge multiple csv files

I have around 600 csv file datasets, all have the very same column names [‘DateTime’, ‘Actual’, ‘Consensus’, ‘Previous’, ‘Revised’], all economic indicators and all-time series data sets. the aim is …

Seconds until end of day in python

There’s another question here that asks how many seconds since midnight – this question is the opposite. How do I get the seconds until the end of the day, from the current time, using python? Answer The cleanest way I found to accomplish this is Taken from This however, is not the fastest solution – you can run your own calculations to get a speedup timeit results: Slow: 3.55844402313 Fast: 1.74721097946 (103% speedup) As pointed out by Jim Lewis, there is a case where this faster function breaks on the day daylight savings starts/stops.

Pandas: Group by calendar-week, then plot grouped barplots for the real datetime

EDIT I found a quite nice solution and posted it below as an answer. The result will look like this: Some example data you can generate for this problem: codes = list(‘ABCDEFGH’); dates = pd….

Convert pandas timezone-aware DateTimeIndex to naive timestamp, but in certain timezone

You can use the function tz_localize to make a Timestamp or DateTimeIndex timezone aware, but how can you do the opposite: how can you convert a timezone aware Timestamp to a naive one, while …

Make Sqlalchemy Use Date In Filter Using Postgresql

I’m trying to perform the following query in Sqlalchemy. Select * from “Mytable” where Date(date_time_field) = “2011-08-16”; I have tried several methods. Some here on SO. But none seems “realistic” …

Checking date against date range in Python

I have a date variable: 2011-01-15 and I would like to get a boolean back if said date is within 3 days from TODAY. Im not quite sure how to construct this in Python. Im only dealing with date, not datetime. My working example is a “grace period”. A user logs into my site and if the grace period is within 3 days of today, additional scripts, etc. are omitted for that user. I know you can do some fancy/complex things in Python’s date module(s) but Im not sure where to look. Answer In Python to check a range you

How do I get a value of in Python that is “timezone aware”?

I am trying to subtract one date value from the value of to calculate how long ago something was. But it complains: The value doesn’t seem to be “timezone aware”, while my other date value is. How do I get a value of that is timezone aware? Right now, it’s giving me the time in local time, which happens to be PST, i.e. UTC – 8 hours. Worst case, is there a way I can manually enter a timezone value into the datetime object returned by and set it to UTC-8? Of course, the ideal solution

Trying to mock, but not working

Can anyone tell me why this isn’t working? >>> import mock >>> @mock.patch(‘’) … def today(cls): … return date(2010, 1, 1) … >>> from datetime …