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Tag: datetime

Filter non-duplicated records in Python-pandas, based on group-by column and row-level comparison

This is a complicated issue and I am not able to figure this out, and I really appreciate your help in this. The below dataframe is generated from a pandas function DataFrame.duplicated(), based on ‘Loc'(groupby) and ‘Category’ repeated records are marked as True/False accordingly. My Expectation is to create another column based on ‘Loc'(groupby), ‘Category’ and ‘IsDuplicate’ to represent only

Datetime object in DataFrame with just time

This is the plain column And the I would like to put that column in the index, the problem is when I try to use the method resample() I always get the same problem: TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of ‘Index’ I’ve been using this to change the Time column to Answer You

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

Remove timezone (+01:00) from DateTime

I would like to delete the timezone from my dateTime object. Currently i have: 2019-02-21 15:31:37+01:00 Expected output: 2019-02-21 15:31:37 The code I have converts it to: 2019-02-21 14:31:37. Answer In the first line, the parameter utc=True is not necessary as it converts the input to UTC (subtracting one hour in your case). In the second line, I get an

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