How to convert dataframe column into UTC datetime format?

I want to convert this Origin column in the dataframe data_copy to UTC datetime format import pandas as pd >>>data_copy[“Origin”] 0 1669-06-04 00:00:00 1 1669-06-22 …

unboundlocalerror while using datetime to create new dataframe

I keep getting an error UnboundLocalError: local variable ‘df’ referenced before assignment for this function: def compare_to_sector(Name, MA): df = df[(df.Date >= str(pd.Timestamp(datetime….

Pandas Grouping by Hostname. Average of Sessions(on host) by Hour

The dataframe looks like this. datetime hostname sessions 0 2020-10-27 00:00:05 server001 22 1 2020-10-27 00:00:10 server001 25 2 2020-10-27 00:00:15 server001 …

Get a week startdate from week number for entire dateframe in python

I am looking for week start date for entire date frame , with format of dd-mm-yyyy, Below week number :(src_data[‘WEEK’]) 28 29 30 31 32 33 34 35 code : src_data[‘firstdayofweek’] = datetime.datetime….

How to use pd.data_range() with a frequency of X minutes/hours/seconds?

I need to create a frequent date range with pandas date_range(). This works well with frequency=… parameter. But sometimes my code needs these frequent ranges in longer frequencys. for example 4 …

Datetime Timezones from String

I am trying to figure out how to make a datetime object aware through using a variable. I grab the timezone of the user and pass it through a form to be used. I have tried both of the below methods …

List ‘none’ data type element replacing using another element with time info

I have a list of dates to be used in a time series. And the list looks like as follow: x = [None, None, ‘2019-07-01’, None, ‘2019-09-01’, None] I want to fill up the missing dates with what they were …

Getting all starting dates of year 2020 with ISO week frequency

I’d like to create a list of dates each of which represents the starting date of ISO week N of year 2020. Something like: weeks2020 = [date(2020, 1, 1), date(2020, 1, 6), date(2020, 1, 13), …] I …

Why time zone conversation doesn’t affect the figure in plotting datetime objects in matplotlib?

I’m trying to plot a figure in which dates, without times, are in x-axis and times, without dates, are in y-axis: The above code works well. However when I convert time zones from UTC to US/Eastern I get the same result, as if I did nothing. The result of both before and after time zone conversation: When I print, for example, first element of the list times before and after conversation I get different and the desired result. So the conversation works well: Answer to get a correct localization of the time, I suggest to combine the date from your

Calculate time between two different values in the same pandas column

I have data that look like the following I need to create a new column that will find the time between the first issue and the first resolved. I need a groupby statement that will keep the first issue and the first resolved for all the issues. Then find the time – When I use group by Device and condition it just kept one issue per device. The desired output is like the following As groupby Device and Condition is not enough I thought to create an index column Then use pivot table for the time calculations Answer The biggest