Apprendre Sorting Data | Explore Dataset

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:

DataFrame.sort_values(by = 'column_name', inplace = True)

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

DataFrame.sort_values(by = 'column_name', inplace = True, ascending = False)

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.

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

Solution

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Section 3. Chapitre 4

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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:

DataFrame.sort_values(by = 'column_name', inplace = True)

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

DataFrame.sort_values(by = 'column_name', inplace = True, ascending = False)

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.

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

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 3. Chapitre 4

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Sorting Data

Solution

Awesome!

Sorting Data

Solution

Awesome!