Rolling standard deviation in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the rolling standard deviation with a window size of 3.

Pandas

import pandas as pd

data = pd.Series([1, 2, 3, 4, 5])
rolling_std = data.[1](3).std()
print(rolling_std)

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Arolling

Bmean

Csum

Dcumsum

Attempts:

3 left

💡 Hint

Common Mistakes

Using mean() instead of rolling().

Trying to call std() directly on the Series without rolling.

The rolling method creates a rolling window object. Then std() calculates the standard deviation for each window.

2fill in blank

medium

Complete the code to calculate the rolling standard deviation with a window size of 4 and minimum periods of 2.

Pandas

import pandas as pd

data = pd.Series([10, 20, 30, 40, 50])
rolling_std = data.rolling(window=[1], min_periods=2).std()
print(rolling_std)

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A2

B4

C3

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong window size like 2 or 3.

Confusing min_periods with window.

The window size is set to 4 to calculate the rolling standard deviation over 4 values.

3fill in blank

hard

Fix the error in the code to correctly calculate the rolling standard deviation with a window size of 3.

Pandas

import pandas as pd

data = pd.Series([5, 10, 15, 20, 25])
rolling_std = data.rolling(3).[1]()
print(rolling_std)

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Asum

Bmean

Cvar

Dstd

Attempts:

3 left

💡 Hint

Common Mistakes

Using mean() instead of std().

Using var() which calculates variance, not standard deviation.

The std() method calculates the standard deviation for each rolling window.

4fill in blank

hard

Fill both blanks to create a dictionary of words and their rolling standard deviation of lengths with window size 2, filtering lengths greater than 3.

Pandas

import pandas as pd

words = ['apple', 'bat', 'cat', 'dog', 'elephant']
lengths = {word: len(word) for word in words}
rolling_std = pd.Series(list(lengths.values())).rolling([1]).std()
filtered = {word: rolling_std[i] for i, word in enumerate(words) if lengths[word] [2] 3}
print(filtered)

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A2

B>

C<

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong window size like 3 or 4.

Using '<' instead of '>' in the filter condition.

The rolling window size is 2, and we filter words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their rolling standard deviation of lengths with window size 2, filtering lengths less than or equal to 5.

Pandas

import pandas as pd

words = ['apple', 'bat', 'cat', 'dog', 'elephant']
lengths = {word: len(word) for word in words}
rolling_std = pd.Series(list(lengths.values())).rolling([1]).std()
filtered = {word.[2](): rolling_std[i] for i, word in enumerate(words) if lengths[word] [3] 5}
print(filtered)

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A2

Bupper

C<=

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong window size like 3.

Using lower() instead of upper().

Using '<' or '>' instead of '<=' in the filter.

The rolling window size is 2, words are converted to uppercase, and filtered for lengths less than or equal to 5.