42 lines
1.9 KiB
Python
42 lines
1.9 KiB
Python
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#!/usr/bin/env python
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"""
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Aggregations create a new value by summarizing a :class:`.Column`. For
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example, :class:`.Mean`, when applied to a column containing :class:`.Number`
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data, returns a single :class:`decimal.Decimal` value which is the average of
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all values in that column.
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Aggregations can be applied to single columns using the :meth:`.Table.aggregate`
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method. The result is a single value if a one aggregation was applied, or
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a tuple of values if a sequence of aggregations was applied.
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Aggregations can be applied to instances of :class:`.TableSet` using the
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:meth:`.TableSet.aggregate` method. The result is a new :class:`.Table`
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with a column for each aggregation and a row for each table in the set.
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"""
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from agate.aggregations.base import Aggregation # noqa
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from agate.aggregations.all import All # noqa
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from agate.aggregations.any import Any # noqa
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from agate.aggregations.count import Count # noqa
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from agate.aggregations.deciles import Deciles # noqa
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from agate.aggregations.first import First # noqa
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from agate.aggregations.has_nulls import HasNulls # noqa
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from agate.aggregations.iqr import IQR # noqa
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from agate.aggregations.mad import MAD # noqa
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from agate.aggregations.max_length import MaxLength # noqa
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from agate.aggregations.max_precision import MaxPrecision # noqa
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from agate.aggregations.max import Max # noqa
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from agate.aggregations.mean import Mean # noqa
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from agate.aggregations.median import Median # noqa
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from agate.aggregations.min import Min # noqa
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from agate.aggregations.mode import Mode # noqa
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from agate.aggregations.percentiles import Percentiles # noqa
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from agate.aggregations.quartiles import Quartiles # noqa
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from agate.aggregations.quintiles import Quintiles # noqa
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from agate.aggregations.stdev import StDev, PopulationStDev # noqa
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from agate.aggregations.sum import Sum # noqa
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from agate.aggregations.summary import Summary # noqa
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from agate.aggregations.variance import Variance, PopulationVariance # noqa
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