How to Inspect String Statistics in Python

A beginner-friendly function that returns detailed statistics about a string, including length, word count, character types, and easy text transformations.

Easy Python 3.9+ Aug 9, 2026 Strings & text 15 views 0 copies

strings text-analysis statistics beginner

Python code

21 lines

Python 3.9+

def inspect_text(text: str) -> dict:
    """Return useful stats about a string for beginners."""
    words = text.split()
    return {
        "length": len(text),
        "word_count": len(words),
        "uppercase": sum(1 for ch in text if ch.isupper()),
        "lowercase": sum(1 for ch in text if ch.islower()),
        "digits": sum(1 for ch in text if ch.isdigit()),
        "spaces": text.count(" "),
        "reversed": text[::-1],
        "title_case": text.title(),
        "no_punctuation": ''.join(ch for ch in text if ch.isalnum() or ch.isspace()),
    }


if __name__ == "__main__":
    sample = "Hello, Python Learners! 123"
    result = inspect_text(sample)
    for key, value in result.items():
        print(f"{key}: {value}")

Output

stdout

length: 24
word_count: 4
uppercase: 2
lowercase: 16
digits: 3
spaces: 3
reversed: 321 !srenraeL nohtyP ,olleH
title_case: Hello, Python Learners! 123
no_punctuation: Hello Python Learners 123

How it works

The function uses text.split() to split on whitespace, giving an accurate word count. Character-type counts use generator expressions with methods like isupper() and isdigit(), which handle Unicode correctly. The reversed field uses slicing with [::-1] for a quick string reversal. title_case applies str.title() to capitalize each word's first letter. Finally, no_punctuation filters with a comprehension that keeps only alphanumeric characters and whitespace.

Common mistakes

Counting punctuation as part of word_count when splitting only on spaces
Assuming `isupper()` works only for ASCII, not Unicode characters
Forgetting that `title()` also capitalizes after digits, changing the original text's formatting

Variations

Use `text.split()` with a `maxsplit` parameter to limit word splitting for performance on large strings

Real-world use cases

Building a text analysis dashboard that shows basic stats on user feedback or comments.
Pre-processing user input to detect unusually short or long strings before storing in a database.
Creating a beginner-friendly debugging tool to quickly inspect unexpected string values in logs.

How to Inspect String Statistics in Python

Python code

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How it works

Common mistakes

Variations

Real-world use cases

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Python code

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How it works

Common mistakes

Variations

Real-world use cases

More from Strings & text

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