TomTJarosz opened a new issue, #39313:
URL: https://github.com/apache/arrow/issues/39313
### Describe the bug, including details regarding any error messages,
version, and platform.
Concurrent invocation of `_pandas_api#is_data_frame` can result in incorrect
behavior (returning false when provided a dataframe). This can cause upstream
issues when using higher-level public arrow APIs (such as `write_feather`).
I have authored a pytest attached below which reproduces the issue:
```py
import pandas as pd
from pyarrow.pandas_compat import _pandas_api
from threading import Thread
def test_is_data_frame_race_condition():
wait = True
num_threads = 10
df = pd.DataFrame()
results = []
def rc():
while wait:
pass
results.append(_pandas_api.is_data_frame(df))
threads = [Thread(target=rc) for _ in range(num_threads)]
for t in threads:
t.start()
wait = False
for t in threads:
t.join()
assert len(results) == num_threads
assert all(results), "is_data_frame() returned false when given a
dataframe"
```
### Component(s)
Python
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