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Pandas: First Steps

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Importing Pandas

Before we can start working with Pandas, we need to import it:

import pandas as pd



Defining a Series

We can define a Series in Pandas using the following syntax:

pd.Series(elements_list, index_list)

The following code defines a new Series called populations representing the populations of various cities (in milions):


              
12345678

            
import pandas as pd

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    ["London", "Berlin", "Rome", "Budapest"]
)

print(populations)
copy

In some cases you might see the following syntax of creating a Series, which has the same effect, except in this case we use a named parameter to specify the index_list for the sake of readibility:

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    index=["London", "Berlin", "Rome", "Budapest"]
)



The index Property

We can access the list of indices of a Series using the index property:


              
12345678

            
import pandas as pd

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    ["London", "Berlin", "Rome", "Budapest"]
)

print(populations.index)
copy

1. What does the following code create?

2. What will be the output of the following code?

3. You must always specify the index parameter when creating a Series.

question mark

What does the following code create?

Select the correct answer

question mark

What will be the output of the following code?

Select the correct answer

question mark

You must always specify the index parameter when creating a Series.

Select the correct answer

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Importing Pandas

Before we can start working with Pandas, we need to import it:

import pandas as pd



Defining a Series

We can define a Series in Pandas using the following syntax:

pd.Series(elements_list, index_list)

The following code defines a new Series called populations representing the populations of various cities (in milions):


              
12345678

            
import pandas as pd

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    ["London", "Berlin", "Rome", "Budapest"]
)

print(populations)
copy

In some cases you might see the following syntax of creating a Series, which has the same effect, except in this case we use a named parameter to specify the index_list for the sake of readibility:

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    index=["London", "Berlin", "Rome", "Budapest"]
)



The index Property

We can access the list of indices of a Series using the index property:


              
12345678

            
import pandas as pd

populations = pd.Series(
    [8.9, 3.6, 2.7, 1.6],
    ["London", "Berlin", "Rome", "Budapest"]
)

print(populations.index)
copy

1. What does the following code create?

2. What will be the output of the following code?

3. You must always specify the index parameter when creating a Series.

question mark

What does the following code create?

Select the correct answer

question mark

What will be the output of the following code?

Select the correct answer

question mark

You must always specify the index parameter when creating a Series.

Select the correct answer

Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 1. Розділ 2
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