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Version: Python

last

agg.last returns an aggregator that computes the last value, within an aggregation group, for each input column.

Syntax

last(cols: List[str]) -> Aggregation

Parameters

ParameterTypeDescription
colsList[str]

The source column(s) for the calculations.

  • ["X"] will output the last value in the X column for each group.
  • ["Y = X"] will output the last value in the X column for each group and rename it to Y.
  • ["X, A = B"] will output the last value in the X column for each group and the last value in the B column while renaming it to A.
caution

If an aggregation does not rename the resulting column, the aggregation column will appear in the output table, not the input column. If multiple aggregations on the same column do not rename the resulting columns, an error will result, because the aggregations are trying to create multiple columns with the same name. For example, in table.agg_by([agg.sum_(cols=[“X”]), agg.avg(cols=["X"]), both the sum and the average aggregators produce column X, which results in an error.

Returns

An aggregator that computes the last value, within an aggregation group, for each input column.

Examples

In this example, agg.last returns the last Y value as grouped by X.

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

source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "N", "O", "N", "P", "M", "O", "P", "M"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
])

result = source.agg_by([agg.last(cols=["Y"])], by=["X"])

In this example, agg.last returns the last Y value (renamed to Z), as grouped by X.

from deephaven import new_table
from deephaven.column import string_col, int_col, double_col
from deephaven import agg as agg
source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "N", "O", "N", "P", "M", "O", "P", "M"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),

])

result = source.agg_by([agg.last(cols=["Z = Y"])], by=["X"])

In this example, agg.last returns the last Y string and last Number integer as grouped by X.

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

source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "N", "O", "N", "P", "M", "O", "P", "M"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
])
result = source.agg_by([agg.last(cols=["Y", "Number"])], by=["X"])

In this example, agg.last returns the last Number integer, as grouped by X and Y.

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

source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "P", "O", "N", "P", "M", "O", "P", "N"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
])

result = source.agg_by([agg.last(cols=["Number"])], by=["X", "Y"])

In this example, agg.first returns the first Number integer, and agg.last returns the last Number integer, as grouped by X.

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

source = new_table([
string_col("X", ["A", "B", "A", "C", "B", "A", "B", "B", "C"]),
string_col("Y", ["M", "P", "O", "N", "P", "M", "O", "P", "N"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
])
result = source.agg_by([agg.first(cols=["FirstNumber = Number"])], by=["X"])