shape for dimensions in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to get the shape of the DataFrame.

Pandas

import pandas as pd

df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
shape = df.[1]

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

Asize

Bshape

Clen

Dcolumns

Attempts:

3 left

💡 Hint

Common Mistakes

Using size returns total elements, not shape.

Using len(df) returns number of rows only.

The shape attribute gives the dimensions of the DataFrame as a tuple (rows, columns).

2fill in blank

medium

Complete the code to print the number of rows in the DataFrame.

Pandas

import pandas as pd

df = pd.DataFrame({'X': [5, 6, 7], 'Y': [8, 9, 10]})
rows = df.[1][0]
print(rows)

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Asize

Bindex

Ccolumns

Dshape

Attempts:

3 left

💡 Hint

Common Mistakes

Using df.columns[0] returns the first column name, not number of rows.

Using df.size returns total elements, not rows.

The first element of df.shape is the number of rows.

3fill in blank

hard

Fix the error in the code to get the number of columns.

Pandas

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
cols = df.shape[1]1
print(cols)

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A.

B(

C[

D{

Attempts:

3 left

💡 Hint

Common Mistakes

Using parentheses causes a TypeError.

Using dot notation is invalid for tuple indexing.

To access the second element of the tuple df.shape, use square brackets [1].

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, only for words longer than 3 letters.

Pandas

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

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using < instead of > filters wrong words.

Using word instead of len(word) gives the word itself as value.

Use len(word) to get length and filter words with length greater than 3 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values, only for words longer than 3 letters.

Pandas

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

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Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of word.upper() for keys.

Using < instead of > filters wrong words.

Use word.upper() as key, len(word) as value, and filter words with length greater than 3 using >.