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Dealing with Dates and Times in Python

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Challenge: Is this Common Issue?

In the previous chapter, we found out that issues with negative durations happened because of misusage of 12-h and 24-h formats. We printed the first 10 rows and saw that in all of these rides dropoff_calculated has the same minute and second (accurate to 1 second), but hours differ by 12.

Let's continue our investigation!

Opgave

Swipe to start coding

  1. Filter the observations in df dataframe to only with negative duration. Save it in df_neg variable.
  2. Iterate over rows of df_ned. If minute in dropoff_datetime and dropoff_calculated is not the same, you need to print this row.
  3. Within the same for loop count number of rows having an hour in dropoff_datetime greater or equal than 12.

Løsning

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Sektion 4. Kapitel 6
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book
Challenge: Is this Common Issue?

In the previous chapter, we found out that issues with negative durations happened because of misusage of 12-h and 24-h formats. We printed the first 10 rows and saw that in all of these rides dropoff_calculated has the same minute and second (accurate to 1 second), but hours differ by 12.

Let's continue our investigation!

Opgave

Swipe to start coding

  1. Filter the observations in df dataframe to only with negative duration. Save it in df_neg variable.
  2. Iterate over rows of df_ned. If minute in dropoff_datetime and dropoff_calculated is not the same, you need to print this row.
  3. Within the same for loop count number of rows having an hour in dropoff_datetime greater or equal than 12.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 6
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
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