Sample code for Head and tail function in Python pandas | S-Logix

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How to Use head and tail Functions in Pandas

Pandas head and tail function output

Condition for Using head and tail Functions in Pandas

Description:
In Pandas, the head() and tail() functions are used to quickly preview the top and bottom rows of a DataFrame, respectively. These functions are particularly helpful when you are working with large datasets and want to get a quick snapshot of the first or last few entries.

head(): Returns the first n rows of a DataFrame (default is 5).
tail(): Returns the last n rows of a DataFrame (default is 5).

Step-by-Step Process

Import Pandas:
Ensure you have imported the Pandas library.
Create or Load a DataFrame:
Prepare a dataset using a dictionary, list, or load data from a CSV or other file formats.
Use head():
Call the head() function to view the top n rows of the DataFrame.
Use tail():
Call the tail() function to view the bottom n rows of the DataFrame.
Specify the Number of Rows:
Pass an integer argument to retrieve a specific number of rows.

Sample Source Code

# Code for head and tail functions

import pandas as pd

data = {
"Name": ["Alice", "Bob", "Charlie", "David", "Eva", "Frank", "Grace"],
"Age": [25, 30, 28, 35, 40, 32, 29],
"Salary": [50000, 60000, 55000, 70000, 65000, 72000, 52000]
}
df = pd.DataFrame(data)

# Using head() to view the first 3 rows
print("Top 3 rows of the DataFrame:")
print(df.head(3))

# Using tail() to view the last 2 rows
print("\nLast 2 rows of the DataFrame:")
print(df.tail(2))

# Displays the first 5 rows by default
print("\nDisplays first 5 rows")
print(df.head())

# Displays the last 5 rows by default
print("\nDisplays last 5 rows")
print(df.tail())

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