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Lære Sorting Data | Explore Dataset
Introduction to Python for Data Analysis

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Sorting Data

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

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Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

  1. Import the pandas using the pd alias.
  2. Perform an ascending sorting by the 'price' column.
  3. Perform a descending sorting by the 'user_id' column.

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book
Sorting Data

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

Opgave

Swipe to start coding

Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

  1. Import the pandas using the pd alias.
  2. Perform an ascending sorting by the 'price' column.
  3. Perform a descending sorting by the 'user_id' column.

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!

close

Awesome!

Completion rate improved to 2.08

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