Kurssisisältö
Dealing with Dates and Times in Python
Dealing with Dates and Times in Python
Challenge: Extreme Trips Durations
Now we have the respective columns converted into the correct type. It means now we can manipulate them using the learned methods.
We already have column trip_duration in our dataset, so why do we need to work with datetime objects? Yes, we have, but this number is in seconds, which is not readable at all (since there are 60 seconds in one minute, not 100). Let's see if there are outliers in our dataset.
Swipe to start coding
- Create new column
durationindfdataframe and save the result of subtractingdropoff_datetimeandpickup_datetimecolumns. - Sort the entire dataframe by newly created column in descending order. Save it in
df_sort. - Print the top-5 longest and shortest trips.
Ratkaisu
Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoistaKiitos palautteestasi!
Challenge: Extreme Trips Durations
Now we have the respective columns converted into the correct type. It means now we can manipulate them using the learned methods.
We already have column trip_duration in our dataset, so why do we need to work with datetime objects? Yes, we have, but this number is in seconds, which is not readable at all (since there are 60 seconds in one minute, not 100). Let's see if there are outliers in our dataset.
Swipe to start coding
- Create new column
durationindfdataframe and save the result of subtractingdropoff_datetimeandpickup_datetimecolumns. - Sort the entire dataframe by newly created column in descending order. Save it in
df_sort. - Print the top-5 longest and shortest trips.
Ratkaisu
Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoistaKiitos palautteestasi!
Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista