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415 changes: 415 additions & 0 deletions perf_tests/compute_air.py-2024-03-03T07:42:36+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/compute_air.py-2024-03-03T07:50:18+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/groupby_air.py-2024-03-03T07:43:22+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/groupby_air.py-2024-03-03T07:50:06+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/groupby_air_full.py-2024-03-03T07:44:17+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/groupby_air_full.py-2024-03-03T07:49:53+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/sanity.py-2024-03-03T07:45:47+05:30.svg
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415 changes: 415 additions & 0 deletions perf_tests/sanity.py-2024-03-03T07:49:44+05:30.svg
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10 changes: 7 additions & 3 deletions qarray/df.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import itertools
import typing as t

import dask
import dask.dataframe as dd
import numpy as np
import pandas as pd
Expand All @@ -12,6 +13,12 @@
Block = t.Dict[str, slice]
Chunks = t.Dict[str, int]

# Turn on Dask-Expr
dask.config.set({'dataframe.query-planning-warning': False})
dask.config.set({"dataframe.query-planning": True})
# Turn on Copy-On-Write (needs Pandas 2.0).
pd.options.mode.copy_on_write = True


# Borrowed from Xarray
def _get_chunk_slicer(dim: t.Hashable, chunk_index: t.Mapping,
Expand Down Expand Up @@ -123,6 +130,3 @@ def f(b: Block) -> pd.DataFrame:
divisions=divisions,
token=token,
)

# TODO(alxmrs): Try dask expressions dataframe:
# https://github.com/dask-contrib/dask-expr