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DataFrame.dtypes.to_json OverflowError: Maximum recursion level reached #61171

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DataFrame.dtypes.to_json OverflowError: Maximum recursion level reached #61171

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167bfe2
Add numpy.dtypes type check in to_json function
Aliebc Mar 23, 2025
25e7e84
Add unit tests and whatsnew info
Aliebc Mar 23, 2025
cf7d95c
Add GET_TC
Aliebc Mar 24, 2025
055dc96
Change Unit test
Aliebc Mar 24, 2025
635b6e7
Add Github issue ID
Aliebc Mar 24, 2025
f6abdde
Modify unit test
Aliebc Mar 24, 2025
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@Aliebc
Aliebc committed Mar 24, 2025
commit 635b6e73e1f9b5a95a52fd5134bf4dd9777a0e41
1 change: 1 addition & 0 deletions pandas/tests/io/json/test_pandas.py
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Expand Up @@ -2321,6 +2321,7 @@ def test_large_number():
],
)
def test_dtypes_to_json_consistency(df: DataFrame):
# GH 61170
expected = df.dtypes.apply(str).to_json()
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Instead of creating multiple objects like this can you write out what the expected JSON representation is and compare that to the result of a to_json() call?

result = df.dtypes.to_json()
assert json.loads(result) == json.loads(expected)
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