Loading a Dataset from CSV Using Pandas

Last update on April 11 2025 12:53:27 (UTC/GMT +8 hours)

1. Loading Dataset from CSV

Write a Pandas program that loads a Dataset from a CSV file.

This exercise demonstrates how to load a dataset using Pandas from a CSV file.

Sample Solution :

Code :

import pandas as pd

# Load a dataset from a CSV file
df = pd.read_csv('data.csv')

# Display the first few rows of the dataset
print(df.head())

Output:

   ID      Name   Age  Gender   Salary  Target
0   1      Sara  25.0  Female  50000.0       0
1   2    Ophrah  30.0    Male  60000.0       1
2   3    Torben  22.0    Male  70000.0       0
3   4  Masaharu  35.0    Male  80000.0       1
4   5      Kaya   NaN  Female  55000.0       0 

Explanation:

• Imported the Pandas library.
• Loaded a dataset from a CSV file using pd.read_csv().
• Displayed the first few rows of the dataset using df.head().

For more Practice: Solve these Related Problems:

• Write a Pandas program to load a CSV file with a non-standard delimiter and verify the DataFrame dimensions.
• Write a Pandas program to load a CSV file from a URL and display the first five rows sorted by a specific column.
• Write a Pandas program to load a large CSV file in chunks and aggregate a numeric column from each chunk.
• Write a Pandas program to load a CSV file with missing header information and assign custom column names.

Python-Pandas Code Editor:

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