An empty DataFrame named test is created using pandas. Data is then assigned to two columns, image and label, from the results of the createdataframe function called with the TEST_DIR argument.

Cell 5

test = pd.DataFrame()
test['image'], test['label'] = createdataframe(TEST_DIR)

import pandas as pd

def load_test_data(test_dir):
    try:
        # Create a pandas DataFrame from the provided test directory
        image_data, label_data = createdataframe(test_dir)
        
        # Create a dictionary to store the data
        data = {
            'image': image_data,
            "label": label_data
        }
        
        # Convert the dictionary to a DataFrame
        test_df = pd.DataFrame(data)
        
        # Return the DataFrame
        return test_df
    
    except Exception as e:
        # Log any exceptions and return None
        print(f"An error occurred: {str(e)}")
        return None

# Example usage:
test_df = load_test_data(TEST_DIR)

Code Breakdown

Importing Libraries

The code snippet assumes that the pandas library (pd) has been imported.

Creating an Empty DataFrame

test = pd.DataFrame()

• Creates an empty DataFrame named test.

Assigning Data to Columns

test['image'], test['label'] = createdataframe(TEST_DIR)

• Calls the createdataframe function with the TEST_DIR argument.
• Assigns the returned values to two columns in the test DataFrame:
  • test['image']: the first returned value from createdataframe.
  • test['label']: the second returned value from createdataframe.