describecsv 0.5.0

A tool for analyzing and describing CSV files

DescribeCSV

A Python tool for analyzing and describing CSV files. It provides detailed information about file structure, data types, missing values, and statistical summaries. It defaults to producing a markdown description, but can also produce JSON. Perfect for initial data exploration and quality assessment of large CSV files.

Features

• Automatic encoding detection and handling
• Memory-efficient processing of large files through chunking
• Comprehensive column analysis including:
  • Data types and structure
  • Missing value detection and statistics
  • Unique value counts and distributions
  • Statistical summaries for numeric columns
  • Most frequent values for categorical columns
• Smart detection of numeric data stored as strings
• Duplicate row detection and counting
• Detailed file metadata information

Installation

You can install describecsv using pip:

pip install describecsv

Or using uv for faster installation:

uv tool install describecsv

Usage

By default, describecsv will output a markdown file with a description of the CSV file.

describecsv path/to/your/your_file.csv

This will create a markdown file named your_file_details.md in the same directory as your CSV file.

You can also specify the output format:

describecsv path/to/your/your_file.csv --format json

describecsv path/to/your/your_file.csv --format markdown

Output Example

The tool generates a detailed markdown report. Here's a sample of what you'll get:

# CSV File Analysis

## File: your_file.csv

- **Directory:** /path/to/your
- **Size:** 125.4 MB
- **Encoding:** utf-8
- **Created Date:** 2024-02-21T10:30:00
- **Modified Date:** 2024-02-21T10:30:00

## Basic Statistics

- **Number of Rows:** 100000
- **Number of Columns:** 15
- **Total Cells:** 1500000
- **Missing Cells:** 1234 (0.82%)
- **Duplicate Rows:** 42 (0.042%)

## Column Analysis

### Column: age

- **Data Type:** int64
- **Unique Values:** 75
- **Missing Values:** 12 (0.012%)
- **Mean:** 34.5
- **Standard Deviation:** 12.8
- **Minimum Value:** 18.0
- **Maximum Value:** 99.0
- **Median:** 32

### Column: category

- **Data Type:** object
- **Unique Values:** 5
- **Missing Values:** 0 (0.0%)
- **Top 3 Values:**
  - A: 45000
  - B: 30000
  - C: 25000
- **Mode:** A
- **Top 3 Values Percentage of Total:** 95.0%

The tool can also generate a detailed JSON report.

Features in Detail

Encoding Detection

• Automatically detects file encoding
• Handles common encodings (UTF-8, Latin-1, etc.)
• Provides fallback options for difficult files

Memory Efficiency

• Processes files in chunks
• Optimizes data types automatically
• Suitable for large CSV files

Data Quality Checks

• Identifies potential data type mismatches
• Reports duplicate rows and missing values

Statistical Analysis

• Comprehensive numeric column statistics
• Frequency analysis for categorical data
• Missing value patterns

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.