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Dataset compression tool.

Project description


Empirical tool to find the best file format for caching a particular dataset.


Install the current PyPI release:

pip install tinytable

Or install from source:

pip install git+

Basic Usage

# Run the tinytable command to get file size statistics
tinytable --experiment <experiment-name> run --dataset <path-to-dataset> --trials 3

# Generate charts to visualize the best file format
tinytable --experiment <experiment-name> plot

# Delete experiment data
tinytable --experiment <experiment-name> clean

Advanced Usage

# Subsample the dataset before serializing
tinytable run -d <path-to-dataset> --sample .5

# Don't write the results to a file, just print them
tinytable -e exp1 run -d data/data.csv --no_write

# Specify the directory to which experiments should be saved
tinytable -e exp1 --experiments_dir <path-to-new-experiments-dir> run -d data/data.csv

Project details

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Files for tinytable, version 0.0.4
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