Convert timedelta to specified format

[Planetary_Assault_Systems]

Hello

I am currently attempting to create a web dashboard for analytics in Formula1 using plotly and flask as per the article
An Interactive Web Dashboard with Plotly and Flask.

I have lap times in string format of MM:SS:sss (where MM is minutes and sss is milliseconds) and I have attempted (python script below) to convert this to quantifiable values using datetime.timedelta so that I am able to graph them and manipulate them (e.g find the average time of a driver over a number of laps). However when I try graphing the timedelta objects in plotly, they are displayed in microseconds.

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times = ["1:23.921", "1:24.690", "1:24.790"]   # convert to timedelta object def string_con(string_time):     new_time = timedelta(minutes=int(string_time.split(         ":")[0]), seconds=int((string_time.split(":")[1]).split(".")[0]),         milliseconds=int((string_time.split(":")[1]).split(".")[1]))     return new_time   # convert to timedelta object - list def string_con_list(string_times):     laps = list(map(string_con, string_times))     return laps     # compute average pace using timedelta objects def average_pace(laps):     laps = list(map(string_con, laps))     return (sum(laps, timedelta(0))/len(laps))     print(string_con_list(times)) print(average_pace(times))

In seeing the code above, I want the string_con_list() function to return a list of timedelta objects in MM:SS:sss format. Please may someone point me in the right direction. Thank you.

[snippsat]

I want the string_con_list() function to return a list of timedelta objects in MM:SS:sss format. Please may someone point me in the right direction. Thank you.

Something like this.

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>>> from datetime import datetime >>> >>> con_lst = string_con_list(times) >>> con_lst [datetime.timedelta(seconds=83, microseconds=921000),  datetime.timedelta(seconds=84, microseconds=690000),  datetime.timedelta(seconds=84, microseconds=790000)]   >>> dt = datetime.strptime(str(con_lst[0]), "%H:%M:%S.%f") >>> dt datetime.datetime(1900, 1, 1, 0, 1, 23, 921000) >>> dt.minute 1 >>> dt.second 23 >>> dt.microsecond 921000   >>> dt.strftime('%M:%S.%f') '01:23.921000'   # Works also if put date object in a f-string >>> print(f'{dt.minute}:{dt.second}:{dt.microsecond}') 1:23:921000

[Planetary_Assault_Systems]

I want the string_con_list() function to return a list of timedelta objects in MM:SS:sss format. Please may someone point me in the right direction. Thank you.

Something like this.

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>>> from datetime import datetime >>> >>> con_lst = string_con_list(times) >>> con_lst [datetime.timedelta(seconds=83, microseconds=921000),  datetime.timedelta(seconds=84, microseconds=690000),  datetime.timedelta(seconds=84, microseconds=790000)]   >>> dt = datetime.strptime(str(con_lst[0]), "%H:%M:%S.%f") >>> dt datetime.datetime(1900, 1, 1, 0, 1, 23, 921000) >>> dt.minute 1 >>> dt.second 23 >>> dt.microsecond 921000   >>> dt.strftime('%M:%S.%f') '01:23.921000'   # Works also if put date object in a f-string >>> print(f'{dt.minute}:{dt.second}:{dt.microsecond}') 1:23:921000

Hello snippsat, thank you for your response. I am aware of the strftime() function but if I convert the timedelta to a string, I would not be able to plot it as y-values on a graph. Please correct me if im wrong. I have attached a picture of the exact graph I am trying to construct.

[snippsat]

I guess can calculate with timedelta object in plot then display the correlation date in string format.
Example.

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>>> con_lst [datetime.timedelta(seconds=83, microseconds=921000),  datetime.timedelta(seconds=84, microseconds=690000),  datetime.timedelta(seconds=84, microseconds=790000)]   >>> con_lst_date = [str(d)[3:] for d in con_lst] >>> con_lst_date ['1:23.921000', '1:24.690000', '1:24.790000'] >>> >>> list(zip(con_lst_date, con_lst)) [('1:23.921000', datetime.timedelta(seconds=83, microseconds=921000)),  ('1:24.690000', datetime.timedelta(seconds=84, microseconds=690000)),  ('1:24.790000', datetime.timedelta(seconds=84, microseconds=790000))] >>> >>> dict(zip(con_lst_date, con_lst)) {'1:23.921000': datetime.timedelta(seconds=83, microseconds=921000),  '1:24.690000': datetime.timedelta(seconds=84, microseconds=690000),  '1:24.790000': datetime.timedelta(seconds=84, microseconds=790000)}