Data Types

The main tool we will use to manipulate data is pandas. We can start right away by loading the data:


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/penguins.csv')

print(df.head())

As you understand, each dataset can contain many different data types, for example, numeric (integers, floating point numbers), strings (str), and datetime. To find out what data type a column has, you can call the .dtypes property:


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/penguins.csv')

print(df.dtypes)

Let's say you have a column with numeric values but in string format and want to change the data type to numeric. To do this, use the .astype() method:

Tâche

Swipe to start coding

Read the penguins.csv dataset and change the data type in the body_mass_g column from float to int.

Don't modify the initial code, only replace the gaps ___ with the correct code.

_{Once you've completed this task, click the button below the code to check your solution.}

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 1. Chapitre 1

Data Types

The main tool we will use to manipulate data is pandas. We can start right away by loading the data:


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/penguins.csv')

print(df.head())


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/penguins.csv')

print(df.dtypes)

Let's say you have a column with numeric values but in string format and want to change the data type to numeric. To do this, use the .astype() method:

Tâche

Swipe to start coding

Read the penguins.csv dataset and change the data type in the body_mass_g column from float to int.

Don't modify the initial code, only replace the gaps ___ with the correct code.

_{Once you've completed this task, click the button below the code to check your solution.}

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 1. Chapitre 1

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