shape for dimensions in Pandas - Step-by-Step Execution

Concept Flow - shape for dimensions

Create DataFrame or Array

↓

Access .shape attribute

↓

Get tuple of dimensions

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Use dimensions for analysis or checks

The flow shows creating a data structure, accessing its shape attribute to get dimensions, and then using those dimensions.

Execution Sample

Pandas

import pandas as pd

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

This code creates a DataFrame and prints its shape, which shows rows and columns count.

Execution Table

Step	Action	DataFrame State	Shape Value	Output
1	Create DataFrame from dictionary	{'A':[1,2,3], 'B':[4,5,6]}	N/A	DataFrame with 3 rows, 2 columns
2	shape = df.shape	DataFrame with 3 rows, 2 columns	(3, 2)	Tuple (3, 2)
3	Print shape	DataFrame unchanged	(3, 2)	(3, 2) printed to console

💡 Shape attribute accessed and printed; no further steps.

Variable Tracker

Variable	Start	After Step 1	After Step 2	After Step 3
df	undefined	DataFrame with 3 rows, 2 columns	Same DataFrame	Same DataFrame
shape	undefined	undefined	(3, 2)	(3, 2)

Key Moments - 3 Insights

Why does df.shape return a tuple and not a list or DataFrame?

df.shape always returns a tuple because it is a fixed-size, immutable representation of dimensions (rows, columns). This is shown in execution_table step 2 where the shape value is (3, 2).

What do the two numbers in the shape tuple represent?

The first number is the number of rows, and the second is the number of columns. In the example, (3, 2) means 3 rows and 2 columns, as seen in execution_table step 2.

Can shape change if we modify the DataFrame?

Yes, if you add or remove rows or columns, the shape will update accordingly. Here, shape is checked right after creation (step 2), so it matches the initial size.

Visual Quiz - 3 Questions

Look at the execution_table at step 2, what is the shape of the DataFrame?

A (3, 3)

B (2, 3)

C (3, 2)

D (2, 2)

💡 Hint

Check the 'Shape Value' column in execution_table row for step 2.

According to variable_tracker, what is the value of 'shape' after step 3?

A (3, 2)

B (2, 3)

C undefined

D DataFrame object

💡 Hint

Look at the 'shape' row under 'After Step 3' in variable_tracker.

If we add a new column to df, how would the shape tuple change?

A The first number increases by 1

B The second number increases by 1

C Both numbers increase by 1

D Shape stays the same

💡 Hint

Columns count is the second number in the shape tuple, as explained in key_moments.

Concept Snapshot

Use .shape on pandas DataFrame or array to get dimensions.
Returns a tuple: (rows, columns).
Rows count is first, columns second.
Useful for checking data size quickly.
Shape updates if data changes.

Full Transcript

This visual execution shows how to get the shape of a pandas DataFrame. First, a DataFrame is created from a dictionary with 3 rows and 2 columns. Then, accessing the .shape attribute returns a tuple (3, 2) representing rows and columns. Printing this tuple shows the size of the DataFrame. The shape is immutable and updates if the DataFrame changes. This helps understand the data's dimensions quickly.