Python Pandas: How to View the Last Rows of a DataFrame using 'tail()'

This Python code snippet uses the 'pandas' library to access the final 5 rows of a DataFrame. The 'tail()' function in Pandas allows you to retrieve the last 'n' rows of a DataFrame, with the default value being 5. Here's a breakdown:

test_df.tail()

Explanation:

1. test_df: This represents your Pandas DataFrame containing the data you want to analyze.
2. .tail(): This is a Pandas DataFrame method that specifically extracts the last rows of a DataFrame.
3. (): You can optionally pass an integer argument within the parentheses to specify the number of rows you wish to display. For example, test_df.tail(10) would retrieve the last 10 rows.

Example:

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eve'],
        'Age': [25, 30, 22, 28, 35]}
df = pd.DataFrame(data)
print(df.tail())

Output:

      Name  Age
3    David   28
4      Eve   35

This output shows the last two rows of the DataFrame 'df', highlighting the utility of 'tail()' for quickly examining the end of a dataset.