columnTypeDetector 0.1.5

Detect types of columns in delimited files using DuckDB and pandas

Column Type Detector

A simple Python utility to detect the data types of columns in a delimited file using DuckDB and Pandas.

Overview

This tool loads a delimited file into an in-memory DuckDB database treating all columns as VARCHAR.
It analyzes each column to detect data types: int, float, double, str, or null, and outputs a summary table.

Requirements

• Python >=3.12.3+
• duckdb >=1.3.2
• pandas >=2.1.4

Installation

pip install duckdb>=1.3.2 pandas>=2.1.4

Example CLI Wrapper

from columnTypeDetector import load_data_as_varchar, get_column_names, detect_column_types

con = load_data_as_varchar('/content/sample_data/All_Customers.csv',',')

get_column_names(con,"raw_data")

detect_column_types(con,"raw_data")

Sample Output

Here is an example output of the type detection:

col	float	int	null	str	double	total
Address1	0	3	0	2496	0	2499
Address2	0	0	2499	0	0	2499
Address3	0	0	2499	0	0	2499
City	0	0	7	2492	0	2499
City2	0	0	2495	4	0	2499
Company	1	0	0	2498	0	2499
Country	0	0	58	2441	0	2499
CreateDate	0	0	0	2499	0	2499
Currency	0	81	0	2418	0	2499
CustomerID	0	2495	0	4	0	2499
CustomerTier	0	457	171	1871	0	2499
Firstname	0	0	0	2499	0	2499
Lastname	0	0	0	2499	0	2499
MiscDate	0	0	0	2499	0	2499
OrderAmount	0	2498	0	1	0	2499
PrefDelivMethod	0	0	0	2499	0	2499
State	0	107	0	2392	0	2499
Status	0	0	0	2499	0	2499
Zip	0	2410	0	89	0	2499

License

MIT License