Sha256: 91099bfd8245d5d6ed61e46a3b4190fba4d902e17f1994d453d9477319b584a5
Contents?: true
Size: 911 Bytes
Versions: 6
Compression:
Stored size: 911 Bytes
Contents
module Polars
# A rolling grouper.
#
# This has an `.agg` method which will allow you to run all polars expressions in a
# group by context.
class RollingGroupBy
def initialize(
df,
index_column,
period,
offset,
closed,
by,
check_sorted
)
period = Utils._timedelta_to_pl_duration(period)
offset = Utils._timedelta_to_pl_duration(offset)
@df = df
@time_column = index_column
@period = period
@offset = offset
@closed = closed
@by = by
@check_sorted = check_sorted
end
def agg(*aggs, **named_aggs)
@df.lazy
.group_by_rolling(
index_column: @time_column, period: @period, offset: @offset, closed: @closed, by: @by, check_sorted: @check_sorted
)
.agg(*aggs, **named_aggs)
.collect(no_optimization: true, string_cache: false)
end
end
end
Version data entries
6 entries across 6 versions & 1 rubygems