tableskill 0.3.0

A Python package to visualize tabular data via https://www.tableskill.com/

TableSkill

Python package for visualization of tabular data via https://www.tableskill.com/
Specifically, polars (https://pola.rs/) dataframes are supported.

Usage:

You can comfortably visualize your polars dataframes in tableskill as in this self-contained example:

import tableskill as ts
import polars as pl

from datetime import datetime

# Create two dataframes from scratch
my_df1 = pl.DataFrame(
    {
        "integer": [1, 2, 3],
        "date": [
            datetime(2025, 1, 1),
            datetime(2025, 1, 2),
            datetime(2025, 1, 3),
        ],
        "float": [4.1, 5.2, 6.3],
        "string": ["a", "b", "c"],
    }
)

my_df2 = pl.DataFrame(
    {
        "an_integer": range(10),
    }
)

# Define a dictionary for the 2 dataframes
my_dataframe_dict = {
    "1 my_df": my_df1,
    "2 my_df": my_df2,
}

# Export the dataframes to tableskill using the tableskill function
ts.tableskill(
    dataframe_dict = my_dataframe_dict,
    sub_folder_in_export = "tableskill_sample",
)

The above will generate flat files suitable for https://www.tableskill.com/ on your hard drive under ~\<LAST_NAME>\temp\tableskill\<YYYYMMDD>\tableskill_sample\
You can simply drag invidual files or an entire folder structure into TableSkill.