Is Data in ...?

In this section, we will continue extracting data using specific conditions. Here, you will become familiar with the helpful method called .isin(). But firstly, you need to examine the dataset. Look at the first five rows:


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import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
print(data.head())

Now, take a look at the example and the explanation below:


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import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
models = ['HONDA', 'FORD', 'MERCEDES-BENZ', 'HYUNDAI']
data_extracted = data.loc[data['Manufacturer'].isin(models)]
print(data_extracted.head())

Explanation:

If you remember, we always put the conditions inside the .loc[] attribute. Here, we do the same. The .isin(list) method checks if the values from the column are in the array. In our case, we check if values from the column 'Manufacturer' are in the list models.

Compito

Swipe to start coding

Your task here is to extract data about cars where values from the column 'Color' are equal to 'Grey', 'White', 'Black'. Follow the algorithm to easily manage with the task:

Create the colors list with the elements 'Grey', 'White', 'Black' (in this order).
Extract values from the column 'Color' that the list color consists of. Use the .loc[] attribute.
Output the last five rows of the dataset data_extracted.

Soluzione

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Sezione 3. Capitolo 1

Is Data in ...?


              123
            
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
print(data.head())

Now, take a look at the example and the explanation below:


              12345
            
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
models = ['HONDA', 'FORD', 'MERCEDES-BENZ', 'HYUNDAI']
data_extracted = data.loc[data['Manufacturer'].isin(models)]
print(data_extracted.head())

Explanation:

Compito

Swipe to start coding

Your task here is to extract data about cars where values from the column 'Color' are equal to 'Grey', 'White', 'Black'. Follow the algorithm to easily manage with the task:

Create the colors list with the elements 'Grey', 'White', 'Black' (in this order).
Extract values from the column 'Color' that the list color consists of. Use the .loc[] attribute.
Output the last five rows of the dataset data_extracted.

Soluzione

Cambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti

Tutto è chiaro?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 1

Cambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti