Creating Series from list and dictionary in Pandas - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

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

Pandas

import pandas as pd
numbers = [10, 20, 30]
series = pd.Series([1])
print(series)

Drag options to blanks, or click blank then click option'

Anumbers

Bdict

Cpd.DataFrame

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Passing 'dict' or 'pd.DataFrame' instead of the list variable.

Passing the string 'list' instead of the variable.

We pass the list 'numbers' directly to pd.Series to create a Series.

2fill in blank

medium

Complete the code to create a pandas Series from a dictionary with custom index labels.

Pandas

import pandas as pd
scores = {'Alice': 85, 'Bob': 90, 'Carol': 78}
series = pd.Series([1], index=['Bob', 'Carol', 'Alice'])
print(series)

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A['Alice', 'Bob', 'Carol']

Blist(scores.values())

C{'Bob': 90, 'Carol': 78, 'Alice': 85}

Dscores

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list of keys instead of the dictionary.

Passing only the values without keys.

We pass the dictionary 'scores' to pd.Series and specify a custom index order.

3fill in blank

hard

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

Pandas

import pandas as pd
values = [100, 200, 300]
series = pd.Series(values, index=[1])
print(series)

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A['a', 'b']

B['x', 'y', 'z']

C['1', '2', '3', '4']

D['one', 'two']

Attempts:

3 left

💡 Hint

Common Mistakes

Using an index list with fewer or more labels than data items.

Using numeric strings that don't match data length.

The index length must match the data length. Here, 3 values need 3 index labels.

4fill in blank

hard

Fill both blanks to create a Series from a dictionary and select values greater than 80.

Pandas

import pandas as pd
grades = {'Math': 75, 'Science': 88, 'English': 92}
series = pd.Series([1])
high_scores = series[series [2] 80]
print(high_scores)

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Agrades

B>

C<

D[80]

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong comparison operator like '<' or '[80]'.

Passing the wrong data type to pd.Series.

We create the Series from 'grades' and filter values greater than 80 using '>'.

5fill in blank

hard

Fill all three blanks to create a Series from a list, assign custom index, and filter values less than 50.

Pandas

import pandas as pd
values = [45, 60, 30, 80]
series = pd.Series([1], index=[2])
filtered = series[series [3] 50]
print(filtered)

Drag options to blanks, or click blank then click option'

Avalues

B['a', 'b', 'c', 'd']

C<

D['x', 'y', 'z']

Attempts:

3 left

💡 Hint

Common Mistakes

Using an index list with wrong length.

Using wrong comparison operator like '>' instead of '<'.

We pass the list 'values', assign a matching index list, and filter values less than 50 using '<'.