pyarrow.parquet.Statistics#
- class pyarrow.parquet.Statistics#
Bases:
_WeakrefableStatistics for a single column in a single row group.
- __init__(*args, **kwargs)#
Methods
__init__(*args, **kwargs)equals(self, Statistics other)Return whether the two column statistics objects are equal.
to_dict(self)Get dictionary representation of statistics.
Attributes
Legacy converted type (str or None).
Distinct number of values in chunk (int).
Whether distinct count is preset (bool).
Whether min and max are present (bool).
Whether null count is present (bool).
Logical type of column (
ParquetLogicalType).Max value as logical type.
Max value as physical type (bool, int, float, or bytes).
Min value as logical type.
Min value as physical type (bool, int, float, or bytes).
Number of null values in chunk (int).
Number of non-null values (int).
Physical type of column (str).
- converted_type#
Legacy converted type (str or None).
- distinct_count#
Distinct number of values in chunk (int).
- equals(self, Statistics other)#
Return whether the two column statistics objects are equal.
- Parameters:
- other
Statistics Statistics to compare against.
- other
- Returns:
- are_equalbool
- has_distinct_count#
Whether distinct count is preset (bool).
- has_min_max#
Whether min and max are present (bool).
- has_null_count#
Whether null count is present (bool).
- logical_type#
Logical type of column (
ParquetLogicalType).
- max#
Max value as logical type.
Returned as the Python equivalent of logical type, such as datetime.date for dates and decimal.Decimal for decimals.
- max_raw#
Max value as physical type (bool, int, float, or bytes).
- min#
Min value as logical type.
Returned as the Python equivalent of logical type, such as datetime.date for dates and decimal.Decimal for decimals.
- min_raw#
Min value as physical type (bool, int, float, or bytes).
- null_count#
Number of null values in chunk (int).
- num_values#
Number of non-null values (int).
- physical_type#
Physical type of column (str).