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head_by returns the first n rows for each group.
| Parameter | Type | Description |
|---|---|---|
| n | int | The number of rows to return for each group. |
| by optional | Union[str, list[str]] | The column(s) by which to group data.
|
A new table containing the first n rows for each group.
In this example, head_by returns the first 2 rows, as grouped by X.
In this example, head_by returns the first 2 rows, as grouped by X and Y.
table.head_by(n: int, by: Union[str, list[str]]) -> Table
from deephaven import new_table
from deephaven.column import string_col, int_col
source = new_table(
[
string_col("X", ["A", "B", "A", "A", "B", "A", "B", "B", "B"]),
string_col("Y", ["M", "M", "M", "N", "M", "M", "M", "M", "M"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
]
)
result = source.head_by(2, by=["X"])
from deephaven import new_table
from deephaven.column import string_col, int_col
source = new_table(
[
string_col("X", ["A", "B", "A", "A", "B", "A", "B", "B", "B"]),
string_col("Y", ["M", "M", "M", "N", "M", "M", "M", "M", "M"]),
int_col("Number", [55, 76, 20, 130, 230, 50, 73, 137, 214]),
]
)
result = source.head_by(2, by=["X", "Y"])