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BUG: Index[timestamp[pyarrow]].union with itself return object type #58421

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2 of 3 tasks
randolf-scholz opened this issue Apr 25, 2024 · 2 comments · May be fixed by #61219
Open
2 of 3 tasks

BUG: Index[timestamp[pyarrow]].union with itself return object type #58421

randolf-scholz opened this issue Apr 25, 2024 · 2 comments · May be fixed by #61219
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@afonso-antunes
Labels
Arrow pyarrow functionality Bug Datetime Datetime data dtype setops union, intersection, difference, symmetric_difference

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@randolf-scholz
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Pandas version checks

  • I have checked that this issue has not already been reported.

  • I have confirmed this bug exists on the latest version of pandas.

  • I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

schema = {
    "id"    : "int64[pyarrow]",
    "time"   : "timestamp[s][pyarrow]",
    "value"  : "float[pyarrow]",
}  # fmt: skip
dfA = (
    pd.DataFrame(
        [
            (0, "2021-01-01 00:00:00", 5.3),
            (1, "2021-01-01 00:01:00", 5.4),
            (2, "2021-01-01 00:01:00", 5.4),
            (3, "2021-01-01 00:02:00", 5.5),
        ],
        columns=schema,
    )
    .astype(schema)
    .set_index(["id", "time"])
)
dfB = (
    pd.DataFrame(
        [
            (1, "2022-01-01 08:00:00", 6.3),
            (2, "2022-01-01 08:01:00", 6.4),
            (3, "2022-01-01 08:02:00", 6.5),
        ],
        columns=schema,
    )
    .astype(schema)
    .set_index(["id", "time"])
)
df = pd.concat([dfA, dfB], keys=[0, 1], names=["run"])
print(df.index.dtypes)  # ❌ time: object

Issue Description

The time index type gets coerced to object.

Expected Behavior

concat should maintain the dtype, since all concatenated tables have the same schema.

Installed Versions

INSTALLED VERSIONS

commit : d9cdd2e
python : 3.11.7.final.0
python-bits : 64
OS : Linux
OS-release : 6.5.0-28-generic
Version : #29~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Apr 4 14:39:20 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 69.5.1
pip : 24.0
Cython : None
pytest : 8.1.1
hypothesis : 6.100.1
sphinx : 7.3.7
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.23.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.3.1
gcsfs : None
matplotlib : 3.8.4
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 16.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None
@randolf-scholz randolf-scholz added Bug Needs Triage Issue that has not been reviewed by a pandas team member labels Apr 25, 2024
@mroeschke
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Thanks for the report. I've trace the issue to this operation:

In [3]: import pyarrow as pa, pandas as pd

In [4]: pd.Index(["2020-01-01"], dtype=pd.ArrowDtype(pa.timestamp("s"))).union(pd.Index(["2020-01-02"], dtype=pd.ArrowDtype(pa.timestamp("s"))))
Out[4]: Index([2020-01-01 00:00:00, 2020-01-02 00:00:00], dtype='object')

@mroeschke mroeschke added Datetime Datetime data dtype setops union, intersection, difference, symmetric_difference Arrow pyarrow functionality and removed Needs Triage Issue that has not been reviewed by a pandas team member labels Jul 8, 2024
@mroeschke mroeschke changed the title BUG: pd.concat does not maintain timestamp[s][pyarrow] index type. (MultiIndex) BUG: Index[timestamp[pyarrow]].union with itself return object type Jul 8, 2024
@afonso-antunes
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afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Mar 28, 2025
@afonso-antunes
BUG: concat not preserving extension dtype in MultiIndex levels (pand…
7f6afcd 
…as-dev#58421)
afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Mar 28, 2025
@afonso-antunes
Fix pandas-dev#58421: concat not preserving extension dtype in MultiI…
fe4e279 
…ndex levels
afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Apr 1, 2025
@afonso-antunes
Fix pandas-dev#58421: Index[timestamp[pyarrow]].union with itself ret…
2adacb4 
…urn object type
afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Apr 1, 2025
@afonso-antunes
Fix pandas-dev#58421: Index[timestamp[pyarrow]].union with itself ret…
e8eabea 
…urn object type
afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Apr 1, 2025
@afonso-antunes
BUG: Preserve extension dtypes in MultiIndex levels during concat (pa…
1619cab 
…ndas-dev#58421)
afonso-antunes added a commit to afonso-antunes/pandas that referenced this issue Apr 1, 2025
@afonso-antunes
BUG: Preserve extension dtypes in MultiIndex during concat (pandas-de…
4bb422d 
…v#58421)
This was referenced Apr 1, 2025
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Labels
Arrow pyarrow functionality Bug Datetime Datetime data dtype setops union, intersection, difference, symmetric_difference
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@mroeschke @randolf-scholz @afonso-antunes