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Apprendre 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.

Tâche

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.

Solution

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Section 3. Chapitre 4
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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.

Tâche

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.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

close

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Completion rate improved to 2.08

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