To capitalize all the text in a column, we can use the Strategy design pattern.

Strategy Design Pattern

The Strategy design pattern allows us to encapsulate different algorithms and make them interchangeable. In this case, we can have different strategies for capitalizing text, such as capitalizing every word or capitalizing only the first letter of each word.

Implementation

Here's an example of how we can implement the Strategy design pattern to capitalize all the text in a column. Let's assume we have a DataFrame with a column called 'text' that we want to capitalize.

1. Define an interface (TextCapitalizer) that declares a method for capitalizing text.
2. Implement different strategies that implement the TextCapitalizer interface, such as CapitalizeEveryWordStrategy and CapitalizeFirstLetterStrategy.
3. In your code, instantiate the desired strategy based on your requirements. For example, create an instance of CapitalizeEveryWordStrategy or CapitalizeFirstLetterStrategy.
4. Use the instantiated strategy to capitalize the text in the column.

Below is a Python code snippet that demonstrates this implementation:

# Define the TextCapitalizer interface
class TextCapitalizer:
    def capitalize(self, text):
        pass

# Implement the CapitalizeEveryWordStrategy
class CapitalizeEveryWordStrategy(TextCapitalizer):
    def capitalize(self, text):
        return ' '.join([word.capitalize() for word in text.split()])

# Implement the CapitalizeFirstLetterStrategy
class CapitalizeFirstLetterStrategy(TextCapitalizer):
    def capitalize(self, text):
        return ' '.join([word[0].upper() + word[1:] for word in text.split()])

# Instantiate the desired strategy
cap_strategy = CapitalizeEveryWordStrategy()

# Capitalize the text in the column
df['text'] = df['text'].apply(lambda x: cap_strategy.capitalize(x))

This implementation allows us to easily switch between different capitalization strategies by instantiating the appropriate strategy object. Additionally, it separates the algorithm for capitalization from the code using it, promoting code reusability and maintainability.

Note: The code above assumes that you are already working with a DataFrame object, and the 'text' column exists. Please modify the code accordingly based on your specific requirements.