Use ai.fix_grammar with pandas

The ai.fix_grammar function uses generative AI to correct the spelling, grammar, and punctuation of input text, with a single line of code.

Note

• This article covers using ai.fix_grammar with pandas. To use ai.fix_grammar with PySpark, see this article.
• See other AI Functions in this overview article.
• Learn how to customize the configuration of AI Functions.

Overview

The ai.fix_grammar function extends the pandas Series class. To correct the spelling, grammar, and punctuation of each row of input, call the function on a pandas DataFrame text column.

The function returns a pandas Series that contains corrected text values, which can be stored in a new DataFrame column.

Syntax

df["corrections"] = df["input"].ai.fix_grammar()

Parameters

None

Returns

The function returns a pandas Series that contains corrected text for each input text row. If the input text is null, the result is null.

Example

# This code uses AI. Always review output for mistakes. 

df = pd.DataFrame([
        "There are an error here.",
        "She and me go weigh back. We used to hang out every weeks.",
        "The big picture are right, but you're details is all wrong."
    ], columns=["text"])

df["corrections"] = df["text"].ai.fix_grammar()
display(df)

This example code cell provides the following output:

Multimodal input

The ai.fix_grammar function supports file-based multimodal input. You can fix grammar in the content of PDFs and text files by setting column_type="path" when your column contains file path strings. For more information about supported file types and setup, see Use multimodal input with AI Functions.

# This code uses AI. Always review output for mistakes.

custom_df["corrections"] = custom_df["file_path"].ai.fix_grammar(column_type="path")
display(custom_df)

Related content

• Use ai.fix_grammar with PySpark.

• Detect sentiment with ai.analyze_sentiment.

• Categorize text with ai.classify.

• Generate vector embeddings with ai.embed.

• Extract entities with ai_extract.

• Answer custom user prompts with ai.generate_response.

• Calculate similarity with ai.similarity.

• Summarize text with ai.summarize.

• Translate text with ai.translate.

• Learn more about the full set of AI Functions.

• Use multimodal input with AI Functions.

• Customize the configuration of AI Functions.

• Understand billing for AI Functions.

• Did we miss a feature you need? Suggest it on the Fabric Ideas forum.