Why Series is the 1D data structure in Data Analysis Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a pandas Series from a list.

Data Analysis Python

import pandas as pd

data = [10, 20, 30]
series = pd.[1](data)
print(series)

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ASeries

Blist

Carray

DDataFrame

Attempts:

3 left

💡 Hint

Common Mistakes

Using DataFrame instead of Series

Trying to use list or array which are not pandas objects

The Series function creates a 1D labeled array in pandas.

2fill in blank

medium

Complete the code to access the first element of a Series.

Data Analysis Python

import pandas as pd

s = pd.Series([5, 10, 15])
first_element = s.[1][0]
print(first_element)

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Aloc

Bindex

Ciloc

Dvalues

Attempts:

3 left

💡 Hint

Common Mistakes

Using loc which accesses by label

Using index which returns index labels, not values

iloc is used to access elements by integer position in a Series.

3fill in blank

hard

Fix the error in the code to create a Series with custom index labels.

Data Analysis Python

import pandas as pd

values = [100, 200, 300]
labels = ['a', 'b', 'c']
s = pd.Series([1], index=[2])
print(s)

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Alabels

Bvalues

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping values and labels in arguments

Passing labels as data

The first argument is the data values, and the second is the index labels.

4fill in blank

hard

Fill both blanks to create a Series and filter values greater than 15.

Data Analysis Python

import pandas as pd

s = pd.Series([10, 20, 30, 5])
filtered = s[s [1] [2]]
print(filtered)

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A>

B15

C<

D20

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>'

Using wrong number for comparison

Use the greater than operator and the number 15 to filter values.

5fill in blank

hard

Fill all three blanks to create a dictionary from a Series with values greater than 10 and keys as uppercase labels.

Data Analysis Python

import pandas as pd

s = pd.Series([5, 15, 25], index=['x', 'y', 'z'])
result = [1]([2].upper(): [3] for [2], [3] in s.items() if [3] > 10)
print(result)

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Adict

Bk

Cv

Dk.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Not converting keys to uppercase

Using wrong variable names in comprehension

Create a dictionary with keys as uppercase labels and values filtered by >10.