是否有一种简单的方法可以在 Python 中绘制和操作持续时间（小时/分钟/秒）数据？ 非日期时间数据

Question

I'm working with some video game speedrunning (basically, races where people try to beat a game as fast as they can) data, and I have many different run timings in HH:MM:SS format. I know it's possible to convert to seconds, but I want to keep in this format for the purposes of making the axes on any graphs easy to read.

I have all the data in a data frame already and tried converting the timing data to datetime format, with format = '%H:%M:%S', but it just uses this as the time on 1900-01-01.

data=[['Aggy','01:02:32'], ['Kirby','01:04:54'],['Sally','01:06:04']]
df=pd.DataFrame(data, columns=['Runner','Time'])
df['Time']=pd.to_datetime(df['Time'], format='%H:%M:%S')

I thought specifying the format to be just hours/minutes/seconds would strip away any date, but when I print out the header of my dataframe, it says that the time data is now 1900-01-01 01:02:32, as an example. 1:02:32 AM on January 1st, 1900. I want Python to recognize the 1:02:32 as a duration of time, not a datetime format. What's the best way to go about this?

Answer 1

The format argument defines the format of the input date, not the format of the resulting datetime object ( reference ).

For your needs you can either use the H:m:s part of the datetime, or use the to_timedelta method.