Handling encoding issues in Pandas - Mini Project: Build & Apply

Handling encoding issues

📖 Scenario: You have received a CSV file from a friend. The file contains names and ages, but it uses a special text encoding that can cause errors when reading it directly.You want to load this data correctly using pandas so you can analyze it without errors.

🎯 Goal: Learn how to handle encoding issues by specifying the correct encoding when reading a CSV file with pandas.

📋 What You'll Learn

Create a CSV file content as a string with special characters

Specify the correct encoding to read the CSV data

Load the CSV data into a pandas DataFrame using the encoding

Print the DataFrame to see the correct data

💡 Why This Matters

🌍 Real World

Data files often come from different sources and may use various text encodings. Handling encoding correctly ensures you can read and analyze data without errors or corrupted text.

💼 Career

Data scientists and analysts frequently work with data from multiple countries and systems. Knowing how to handle encoding issues is essential for clean data processing and accurate results.

1

Create CSV data with special characters

Create a variable called csv_data that contains this exact CSV text including special characters:
Name,Age José,28 Müller,35 Zoë,22

Pandas

# Create a variable called csv_data with the exact CSV text
# Your code here

Need a hint?

Use triple quotes or escape the newlines with \n inside the string.

2

Specify the encoding for reading CSV

Create a variable called encoding and set it to the string 'utf-8' to specify the correct encoding for the CSV data.

Pandas

csv_data = "Name,Age\nJosé,28\nMüller,35\nZoë,22"
# Create a variable called encoding and set it to 'utf-8'
# Your code here

Need a hint?

Use the string 'utf-8' exactly for the encoding variable.

3

Load CSV data into pandas DataFrame with encoding

Import pandas as pd. Then use pd.read_csv with io.StringIO(csv_data) and the encoding variable to load the CSV data into a DataFrame called df.

Pandas

csv_data = "Name,Age\nJosé,28\nMüller,35\nZoë,22"
encoding = 'utf-8'
# Import pandas as pd and io.StringIO
# Load csv_data into df using pd.read_csv with encoding
# Your code here

Need a hint?

Use io.StringIO to read the CSV string as a file-like object.

4

Print the DataFrame to see the result

Write a print statement to display the DataFrame df.

Pandas

import pandas as pd
import io

csv_data = "Name,Age\nJosé,28\nMüller,35\nZoë,22"
encoding = 'utf-8'

df = pd.read_csv(io.StringIO(csv_data))
# Print the DataFrame df
# Your code here

Need a hint?

Use print(df) to show the DataFrame.