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Sorting Data | Explore Dataset
Introduction to Python for Data Analysis
course content

Conteúdo do Curso

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
2. Introduction to Python 2/2
3. Explore Dataset
4. Becoming an Analyst

bookSorting 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.

Tarefa

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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Tudo estava claro?

Como podemos melhorá-lo?

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Seção 3. Capítulo 4
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bookSorting 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.

Tarefa

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.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 4
toggle bottom row

bookSorting 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.

Tarefa

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.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

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.

Tarefa

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.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 4
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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