Data Types
The main tool we will use to manipulate data is pandas. We can start right away by loading the data:
12345import 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:
12345import 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:
df['column'] = df['column'].astype(float)
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.
Ratkaisu
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The main tool we will use to manipulate data is pandas. We can start right away by loading the data:
12345import 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:
12345import 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:
df['column'] = df['column'].astype(float)
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.
Ratkaisu
Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoistaKiitos palautteestasi!
Awesome!
Completion rate improved to 3.33single
