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GH-48961: [Docs][Python] Doctest fails on pandas 3.0 #48969

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GH-48961: [Docs][Python] Doctest fails on pandas 3.0 #48969

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2b2f208
Fix DocTestFailure
tadeja Jan 23, 2026
928986e
Fix DocTestFailure further
tadeja Jan 23, 2026
a99ae6c
Update job Python 3.10 Sphinx & Numpydoc to 3.11
tadeja Jan 23, 2026
79d6674
Update job 3.10 Sphinx & Numpydoc to 3.11
tadeja Jan 23, 2026
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6 changes: 3 additions & 3 deletions .github/workflows/python.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -69,10 +69,10 @@ jobs:
- conda-python-3.12-no-numpy
include:
- name: conda-python-docs
cache: conda-python-3.10
cache: conda-python-3.11
image: conda-python-docs
title: AMD64 Conda Python 3.10 Sphinx & Numpydoc
python: "3.10"
title: AMD64 Conda Python 3.11 Sphinx & Numpydoc
python: "3.11"
- name: conda-python-3.11-nopandas
cache: conda-python-3.11
image: conda-python
Expand Down
74 changes: 37 additions & 37 deletions python/pyarrow/table.pxi
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Original file line number Diff line number Diff line change
Expand Up @@ -1882,7 +1882,7 @@ cdef class _Tabular(_PandasConvertible):
pyarrow.Table
year: double
n_legs: int64
animals: string
animals: large_string
----
year: [[2022,2021]]
n_legs: [[4,100]]
Expand Down Expand Up @@ -1916,7 +1916,7 @@ cdef class _Tabular(_PandasConvertible):
>>> table.field(0)
pyarrow.Field<n_legs: int64>
>>> table.field(1)
pyarrow.Field<animals: string>
pyarrow.Field<animals: large_string>
"""
return self.schema.field(i)

Expand Down Expand Up @@ -2144,7 +2144,7 @@ cdef class _Tabular(_PandasConvertible):
pyarrow.Table
year: int64
n_legs: int64
animal: string
animal: large_string
----
year: [[2019,2021,2021,2020,2022,2022]]
n_legs: [[5,100,4,2,4,2]]
Expand Down Expand Up @@ -2190,7 +2190,7 @@ cdef class _Tabular(_PandasConvertible):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2022,2021]]
n_legs: [[4,100]]
Expand Down Expand Up @@ -2484,7 +2484,7 @@ cdef class _Tabular(_PandasConvertible):
>>> table.append_column('year', [year])
pyarrow.Table
n_legs: int64
animals: string
animals: large_string
year: int64
----
n_legs: [[2,4,5,100]]
Expand Down Expand Up @@ -2545,7 +2545,7 @@ cdef class RecordBatch(_Tabular):
month: int64
day: int64
n_legs: int64
animals: string
animals: large_string
----
year: [2020,2022,2021,2022]
month: [3,5,7,9]
Expand Down Expand Up @@ -2585,7 +2585,7 @@ cdef class RecordBatch(_Tabular):
month: int64
day: int64
n_legs: int64
animals: string
animals: large_string
----
year: [2020,2022,2021,2022]
month: [3,5,7,9]
Expand Down Expand Up @@ -2870,7 +2870,7 @@ cdef class RecordBatch(_Tabular):
pyarrow.RecordBatch
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [2021,2022,2019,2021]
n_legs: [2,4,5,100]
Expand All @@ -2881,7 +2881,7 @@ cdef class RecordBatch(_Tabular):
>>> batch
pyarrow.RecordBatch
n_legs: int64
animals: string
animals: large_string
----
n_legs: [2,4,5,100]
animals: ["Flamingo","Horse","Brittle stars","Centipede"]
Expand Down Expand Up @@ -3047,15 +3047,15 @@ cdef class RecordBatch(_Tabular):
>>> batch.rename_columns(new_names)
pyarrow.RecordBatch
n: int64
name: string
name: large_string
----
n: [2,4,5,100]
name: ["Flamingo","Horse","Brittle stars","Centipede"]
>>> new_names = {"n_legs": "n", "animals": "name"}
>>> batch.rename_columns(new_names)
pyarrow.RecordBatch
n: int64
name: string
name: large_string
----
n: [2,4,5,100]
name: ["Flamingo","Horse","Brittle stars","Centipede"]
Expand Down Expand Up @@ -3324,7 +3324,7 @@ cdef class RecordBatch(_Tabular):
>>> batch = pa.RecordBatch.from_pandas(df)
>>> batch.schema
n_legs: int64
animals: string
animals: large_string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, ...

Expand Down Expand Up @@ -3416,7 +3416,7 @@ cdef class RecordBatch(_Tabular):
month: int64
day: int64
n_legs: int64
animals: string
animals: large_string
----
year: [2020,2022,2021,2022]
month: [3,5,7,9]
Expand Down Expand Up @@ -3583,7 +3583,7 @@ cdef class RecordBatch(_Tabular):
>>> pa.RecordBatch.from_struct_array(struct).to_pandas()
n_legs animals year
0 2 Parrot NaN
1 4 None 2022.0
1 4 NaN 2022.0
"""
cdef:
shared_ptr[CRecordBatch] c_record_batch
Expand Down Expand Up @@ -4156,7 +4156,7 @@ cdef class Table(_Tabular):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2020,2022,2019,2021]]
n_legs: [[2,4,5,100]]
Expand Down Expand Up @@ -4291,7 +4291,7 @@ cdef class Table(_Tabular):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2020,2022,2019]]
n_legs: [[2,4,5]]
Expand All @@ -4300,7 +4300,7 @@ cdef class Table(_Tabular):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2019,2021]]
n_legs: [[5,100]]
Expand All @@ -4309,7 +4309,7 @@ cdef class Table(_Tabular):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2019]]
n_legs: [[5]]
Expand Down Expand Up @@ -4693,7 +4693,7 @@ cdef class Table(_Tabular):
>>> table = pa.Table.from_pandas(df)
>>> table.schema
n_legs: int64
animals: string
animals: large_string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, ...

Expand Down Expand Up @@ -4787,7 +4787,7 @@ cdef class Table(_Tabular):
>>> pa.Table.from_pandas(df)
pyarrow.Table
n_legs: int64
animals: string
animals: large_string
----
n_legs: [[2,4,5,100]]
animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
Expand Down Expand Up @@ -4938,7 +4938,7 @@ cdef class Table(_Tabular):
>>> pa.Table.from_struct_array(struct).to_pandas()
n_legs animals year
0 2 Parrot NaN
1 4 None 2022.0
1 4 NaN 2022.0
"""
if isinstance(struct_array, Array):
return Table.from_batches([RecordBatch.from_struct_array(struct_array)])
Expand Down Expand Up @@ -5145,13 +5145,13 @@ cdef class Table(_Tabular):
>>> reader = table.to_reader()
>>> reader.schema
n_legs: int64
animals: string
animals: large_string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, ...
>>> reader.read_all()
pyarrow.Table
n_legs: int64
animals: string
animals: large_string
----
n_legs: [[2,4,5,100]]
animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
Expand Down Expand Up @@ -5199,7 +5199,7 @@ cdef class Table(_Tabular):
>>> table = pa.Table.from_pandas(df)
>>> table.schema
n_legs: int64
animals: string
animals: large_string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' ...
"""
Expand Down Expand Up @@ -5293,7 +5293,7 @@ cdef class Table(_Tabular):
... 'animals': ["Flamingo", "Horse", None, "Centipede"]})
>>> table = pa.Table.from_pandas(df)
>>> table.nbytes
72
88
"""
self._assert_cpu()
cdef:
Expand Down Expand Up @@ -5323,7 +5323,7 @@ cdef class Table(_Tabular):
... 'animals': ["Flamingo", "Horse", None, "Centipede"]})
>>> table = pa.Table.from_pandas(df)
>>> table.get_total_buffer_size()
76
96
"""
self._assert_cpu()
cdef:
Expand Down Expand Up @@ -5372,7 +5372,7 @@ cdef class Table(_Tabular):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2021,2022,2019,2021]]
n_legs: [[2,4,5,100]]
Expand All @@ -5383,7 +5383,7 @@ cdef class Table(_Tabular):
>>> table
pyarrow.Table
n_legs: int64
animals: string
animals: large_string
----
n_legs: [[2,4,5,100]]
animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
Expand Down Expand Up @@ -5535,15 +5535,15 @@ cdef class Table(_Tabular):
>>> table.rename_columns(new_names)
pyarrow.Table
n: int64
name: string
name: large_string
----
n: [[2,4,5,100]]
name: [["Flamingo","Horse","Brittle stars","Centipede"]]
>>> new_names = {"n_legs": "n", "animals": "name"}
>>> table.rename_columns(new_names)
pyarrow.Table
n: int64
name: string
name: large_string
----
n: [[2,4,5,100]]
name: [["Flamingo","Horse","Brittle stars","Centipede"]]
Expand Down Expand Up @@ -5700,7 +5700,7 @@ cdef class Table(_Tabular):
id: int64
year: int64
n_legs: int64
animal: string
animal: large_string
----
id: [[3,1,2]]
year: [[2019,2020,2022]]
Expand All @@ -5714,7 +5714,7 @@ cdef class Table(_Tabular):
id: int64
year: int64
n_legs: int64
animal: string
animal: large_string
----
id: [[3,1,2,4]]
year: [[2019,2020,2022,null]]
Expand All @@ -5728,7 +5728,7 @@ cdef class Table(_Tabular):
year: int64
id: int64
n_legs: int64
animal: string
animal: large_string
----
year: [[2019,null]]
id: [[3,4]]
Expand All @@ -5741,7 +5741,7 @@ cdef class Table(_Tabular):
pyarrow.Table
id: int64
n_legs: int64
animal: string
animal: large_string
----
id: [[4]]
n_legs: [[100]]
Expand All @@ -5754,7 +5754,7 @@ cdef class Table(_Tabular):
id: int64
year: int64
n_legs: int64
animal: string
animal: large_string
----
id: []
year: []
Expand Down Expand Up @@ -6003,7 +6003,7 @@ def record_batch(data, names=None, schema=None, metadata=None):
month: int64
day: int64
n_legs: int64
animals: string
animals: large_string
----
year: [2020,2022,2021,2022]
month: [3,5,7,9]
Expand Down Expand Up @@ -6164,7 +6164,7 @@ def table(data, names=None, schema=None, metadata=None, nthreads=None):
pyarrow.Table
year: int64
n_legs: int64
animals: string
animals: large_string
----
year: [[2020,2022,2019,2021]]
n_legs: [[2,4,5,100]]
Expand Down
2 changes: 1 addition & 1 deletion python/pyarrow/types.pxi
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Original file line number Diff line number Diff line change
Expand Up @@ -3140,7 +3140,7 @@ cdef class Schema(_Weakrefable):

>>> pa.Schema.from_pandas(df)
int: int64
str: string
str: large_string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, ...
"""
Expand Down
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