astro.dataframes.load_options

Module Contents

Classes

PandasLoadOptions	Pandas load options while reading and loading file
PandasCsvLoadOptions	Pandas load options while reading and loading csv file.
PandasJsonLoadOptions	Pandas load options while reading and loading json file.
PandasNdjsonLoadOptions	Pandas load options while reading and loading Ndjson file.
PandasParquetLoadOptions	Pandas load options while reading and loading Parquet file.

class astro.dataframes.load_options.PandasLoadOptions

Bases: astro.options.LoadOptions

Pandas load options while reading and loading file

class astro.dataframes.load_options.PandasCsvLoadOptions

Bases: PandasLoadOptions

Pandas load options while reading and loading csv file.

Parameters

• delimiter – Delimiter to use. Defaults to None

• dtype – Data type for data or columns. E.g. {"a": np.float64, "b": np.int32, "c": "Int64"} Use str or object together with suitable na_values settings to preserve and not interpret dtype. If converters are specified, they will be applied INSTEAD of dtype conversion.

delimiter: str | None

dtype: DtypeArg | None

class astro.dataframes.load_options.PandasJsonLoadOptions

Bases: PandasLoadOptions

Pandas load options while reading and loading json file.

Parameters

encoding – Encoding to use for UTF when reading/writing (ex. ‘utf-8’). List of Python standard encodings: https://docs.python.org/3/library/codecs.html#standard-encodings

encoding: str | None

class astro.dataframes.load_options.PandasNdjsonLoadOptions

Bases: PandasLoadOptions

Pandas load options while reading and loading Ndjson file.

Parameters

normalize_sep – separator used to normalize nested ndjson. ex - {"a": {"b":"c"}} will result in: column - "a_b" where ndjson_normalize_sep = "_"

normalize_sep: str = '_'

class astro.dataframes.load_options.PandasParquetLoadOptions

Bases: PandasLoadOptions

Pandas load options while reading and loading Parquet file.

Parameters

columns – If not None, only these columns will be read from the file.

columns: list[str] | None