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BUG: avoid attribute error with pyarrow >=0.16.0 and <1.0.0 #38803

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Jan 5, 2021
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BUG: avoid attribute error with pyarrow >=0.16.0 and <1.0.0 #38803

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2 changes: 1 addition & 1 deletion ci/deps/actions-37-locale.yaml
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Expand Up @@ -30,7 +30,7 @@ dependencies:
- openpyxl
- pandas-gbq
- google-cloud-bigquery>=1.27.2 # GH 36436
- pyarrow>=0.17
- pyarrow=0.17 # GH 38803
- pytables>=3.5.1
- scipy
- xarray=0.12.3
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.2.1.rst
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Expand Up @@ -32,6 +32,7 @@ I/O

- Bumped minimum fastparquet version to 0.4.0 to avoid ``AttributeError`` from numba (:issue:`38344`)
- Bumped minimum pymysql version to 0.8.1 to avoid test failures (:issue:`38344`)
- Fixed ``AttributeError`` with PyArrow versions [0.16.0, 1.0.0) (:issue:`38801`)

-
-
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11 changes: 5 additions & 6 deletions pandas/core/arrays/string_arrow.py
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Expand Up @@ -29,13 +29,12 @@
except ImportError:
pa = None
else:
# our min supported version of pyarrow, 0.15.1, does not have a compute
# module
try:
# PyArrow backed StringArrays are available starting at 1.0.0, but this
# file is imported from even if pyarrow is < 1.0.0, before pyarrow.compute
# and its compute functions existed. GH38801
if LooseVersion(pa.__version__) >= "1.0.0":
import pyarrow.compute as pc
except ImportError:
pass
else:

ARROW_CMP_FUNCS = {
"eq": pc.equal,
"ne": pc.not_equal,
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2 changes: 1 addition & 1 deletion pandas/tests/io/test_parquet.py
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Expand Up @@ -896,7 +896,7 @@ def test_timezone_aware_index(self, pa, timezone_aware_date_list):
# this use-case sets the resolution to 1 minute
check_round_trip(df, pa, check_dtype=False)

@td.skip_if_no("pyarrow", min_version="0.17")
@td.skip_if_no("pyarrow", min_version="1.0.0")
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this mode of read_parquet was not available until 1.0.0

def test_filter_row_groups(self, pa):
# https://github.com/pandas-dev/pandas/issues/26551
df = pd.DataFrame({"a": list(range(0, 3))})
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