pyarrow.parquet.ColumnSchema#

class pyarrow.parquet.ColumnSchema#

Bases: _Weakrefable

Schema for a single column.

__init__(*args, **kwargs)#

Methods

`__init__`(args, *kwargs)
`equals`(self, ColumnSchema other)	Return whether the two column schemas are equal.

Attributes

`converted_type`	Legacy converted type (str or None).
`length`	Array length if fixed length byte array type, None otherwise (int or None).
`logical_type`	Logical type of column (`ParquetLogicalType`).
`max_definition_level`	Maximum definition level (int).
`max_repetition_level`	Maximum repetition level (int).
`name`	Name of field (str).
`path`	Nested path to field, separated by periods (str).
`physical_type`	Name of physical type (str).
`precision`	Precision if decimal type, None otherwise (int or None).
`scale`	Scale if decimal type, None otherwise (int or None).

converted_type#: Legacy converted type (str or None).

equals(self, ColumnSchema other)#

Return whether the two column schemas are equal.

Parameters:

otherColumnSchema: Schema to compare against.

Returns:

are_equalbool

length#: Array length if fixed length byte array type, None otherwise (int or None).

logical_type#: Logical type of column (ParquetLogicalType).

max_definition_level#: Maximum definition level (int).

max_repetition_level#: Maximum repetition level (int).

name#: Name of field (str).

path#: Nested path to field, separated by periods (str).

physical_type#: Name of physical type (str).

precision#: Precision if decimal type, None otherwise (int or None).

scale#: Scale if decimal type, None otherwise (int or None).