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DATAExport

Export

The export module writes datasets to various file formats. It supports CSV, JSON, Parquet, Arrow, and DataFrame interchange.

Dataset Methods

The primary way to export data is through the Dataset object:

import hermes as hr ds = hr.Dataset(name="gdp", data_ref="gdp.csv", data=df) # Save to disk (writes to directory) ds.save("output/", format="parquet") # -> output/gdp.parquet ds.save("output/", format="csv") # -> output/gdp.csv ds.save("output/", format="json") # -> output/gdp.json # Export to raw bytes csv_bytes = ds.export("csv") parquet_bytes = ds.export("parquet") json_bytes = ds.export("json") # Export as dataframes polars_df = ds.export("polars") # -> pl.DataFrame arrow_tbl = ds.export("arrow") # -> pa.Table pandas_df = ds.export("pandas") # -> pd.DataFrame

export() Utility

Low-level export function:

from hermes.export import export import polars as pl df = pl.read_csv("data.csv") # Export to CSV export(data=df, filetype="csv", loc="output/", name="my_data") # Export to JSON export(data=df, filetype="json", loc="output/", name="my_data") # Export to Parquet export(data=df, filetype="parquet", loc="output/", name="my_data")

Parameters

ParameterTypeDefaultDescription
datapl.DataFrame(required)Data to export
filetypestr"csv"Output format: csv, json, parquet
locPath | str"data/"Output directory
namestr | NoneNoneFilename (without extension). If None, uses timestamp

The function creates the target directory if it doesn’t exist.

Format Support

FormatFile ExtensionMethod
CSV.csvpl.DataFrame.write_csv()
JSON.jsonpl.DataFrame.write_json()
Parquet.parquetpl.DataFrame.write_parquet()

Interchange Formats

Convert to other DataFrame libraries:

import hermes as hr ds = hr.Dataset(name="gdp", data=df) # Polars polars_df = ds.to_polars() # -> pl.DataFrame # PyArrow arrow_tbl = ds.to_arrow() # -> pa.Table # Pandas pandas_df = ds.to_pandas() # -> pd.DataFrame

Top-Level API

import hermes as hr result = hr.save(data, path="output/", format="parquet")
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