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)

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

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)

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

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}

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

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 }

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

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 >.

Practice

1. What does the shape attribute of a pandas DataFrame tell you?

easy

A. The data types of each column

B. The summary statistics of the data

C. The first few rows of the DataFrame

D. The number of rows and columns as a tuple (rows, columns)

Solution

1. Step 1: Understand what shape returns

   The shape attribute gives the size of the DataFrame as a tuple showing rows and columns.

2. Step 2: Compare options with this definition

   Only The number of rows and columns as a tuple (rows, columns) correctly describes shape as (rows, columns).

3. Final Answer:

   The number of rows and columns as a tuple (rows, columns) -> Option D

4. Quick Check:

   shape = (rows, columns) [OK]

Hint: Remember shape shows (rows, columns) size [OK]

Common Mistakes:

• Confusing shape with data types
• Thinking shape shows data preview
• Mixing shape with summary statistics

2. Which of the following is the correct way to get the shape of a pandas DataFrame named df?

easy

A. df.shape()

B. df.shape

C. df.get_shape()

D. shape(df)

Solution

1. Step 1: Recall how to access attributes in pandas

   The shape is an attribute, not a method, so no parentheses are used.

2. Step 2: Check each option

   df.shape uses df.shape correctly without parentheses. Others are incorrect syntax.

3. Final Answer:

   df.shape -> Option B

4. Quick Check:

   Use attribute without () for shape [OK]

Hint: Use attribute without parentheses for shape [OK]

Common Mistakes:

• Adding parentheses like a function call
• Using non-existent methods like get_shape()
• Trying to call shape as a standalone function

3. Given the following code:

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

What will be the output?

medium

A. (3, 2)

B. (2, 3)

C. [3, 2]

D. Error

Solution

1. Step 1: Understand the DataFrame structure

   The dictionary has 2 keys (columns) and each key has 3 values (rows).

2. Step 2: Determine the shape

   So the DataFrame has 3 rows and 2 columns, shape is (3, 2).

3. Final Answer:

   (3, 2) -> Option A

4. Quick Check:

   Rows = 3, Columns = 2 [OK]

Hint: Count rows then columns for shape tuple [OK]

Common Mistakes:

• Swapping rows and columns order
• Using list brackets instead of tuple
• Expecting an error from correct code

4. You run this code:

import pandas as pd
df = pd.DataFrame({'X': [1, 2], 'Y': [3, 4]})
print(df.shape())

What is the problem?

medium

A. Column names are invalid

B. DataFrame is empty

C. Using parentheses with shape causes an error

D. Missing import statement

Solution

1. Step 1: Identify how shape is accessed

   shape is an attribute, not a method, so it should not have parentheses.

2. Step 2: Understand the error cause

   Calling df.shape() tries to call a tuple as a function, causing a TypeError.

3. Final Answer:

   Using parentheses with shape causes an error -> Option C

4. Quick Check:

   Access shape without () to avoid error [OK]

Hint: Don't add () after shape attribute [OK]

Common Mistakes:

• Treating shape like a function
• Assuming empty DataFrame causes error
• Ignoring import errors

5. You have a pandas Series s = pd.Series([10, 20, 30, 40]). What will s.shape return?

hard

A. (4,)

B. (4, 1)

C. 4

D. Error

Solution

1. Step 1: Understand Series shape

   A pandas Series is one-dimensional, so its shape is a tuple with one element: the number of items.

2. Step 2: Check the length of the Series

   There are 4 elements, so shape is (4,).

3. Final Answer:

   (4,) -> Option A

4. Quick Check:

   Series shape is single-element tuple (length,) [OK]

Hint: Series shape is a one-item tuple with length [OK]

Common Mistakes:

• Expecting a 2D shape tuple
• Returning just an integer instead of tuple
• Thinking shape causes error on Series