Binning with cut() and qcut() in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create 3 equal-width bins for the data using cut().

Pandas

import pandas as pd

data = [5, 10, 15, 20, 25]
bins = pd.cut(data, [1])
print(bins)

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A3

B[3, 6, 9]

C5

Dpd.qcut

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list of numbers instead of the number of bins.

Using qcut instead of cut for equal-width bins.

Using pd.cut with an integer creates that many equal-width bins.

2fill in blank

medium

Complete the code to create 4 bins with equal number of data points using qcut().

Pandas

import pandas as pd

data = [5, 10, 15, 20, 25, 30, 35, 40]
bins = pd.[1](data, 4)
print(bins)

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Acut

Bqcut

Cbin

Dgroupby

Attempts:

3 left

💡 Hint

Common Mistakes

Using cut() which creates equal-width bins, not equal-sized bins.

Using incorrect function names like bin or groupby.

qcut() creates bins with equal number of data points (quantiles).

3fill in blank

hard

Fix the error in the code to create bins with cut() using custom bin edges.

Pandas

import pandas as pd

values = [1, 2, 3, 4, 5]
bins = pd.cut(values, bins=[1])
print(bins)

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Apd.qcut

B3

C[0, 2, 4, 6]

D['a', 'b', 'c']

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a single integer instead of a list for bins.

Passing non-numeric bin edges.

Custom bins must be a list of numbers defining bin edges.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 characters.

Pandas

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length as the value.

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

The dictionary comprehension maps each word to its length if the word length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words with their lengths for words longer than 4 characters.

Pandas

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
result = { [1]: [2] for word in words if len(word) [3] 4 }
print(result)

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Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original word instead of uppercase for keys.

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

The dictionary comprehension creates keys as uppercase words and values as their lengths, filtering words longer than 4 characters.