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Version: Python

agg_all_by

agg_all_by creates a new table containing grouping columns and grouped data. The resulting grouped data is defined by the aggregation specified.

note

Because agg_all_by applies the aggregation to all the columns of the table, it will ignore any column names specified for the aggregation.

Syntax

agg_all_by(agg: Aggregation, by: Sequence[str] = None) -> Table

Parameters

ParameterTypeDescription
aggAggregation

The aggregation to apply to all columns of the source table.

by optionalSequence[str]

The grouping column names. Set to None by default.

Returns

A new table containing grouping columns and grouped data.

Examples

In this example, agg_all_by returns the median of "Number" values, grouped by X.

from deephaven import new_table
from deephaven.column import string_col, int_col, double_col
from deephaven import agg
from deephaven import table

source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "A", "A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "N", "M", "N", "N", "M", "O", "P", "N", "M", "N", "M", "N", "N", "M", "O", "P", "N"]),
int_col("Number", [55, 76, 55, 130, 230, 50, 76, 137, 214, 55, 76, 55, 130, 230, 50, 76, 137, 214]),
])

result = source.agg_all_by(agg=agg.median(), by="X")