BUG: Weird column name type conversion in read_json with orient='table' and string columns #25435
Description
Code Sample, a copy-pastable example if possible
expected = pd.DataFrame({'1.': [1, 2]})
result = pd.read_json(expected.to_json(orient='table'), orient='table')In [7]: expected
Out[7]:
1.
0 1
1 2
In [8]: result
Out[8]:
1970-01-01 00:00:01
0 1
1 2
Problem description
There is a weird column type conversion from string to Timestamp.
Expected Output
The result should be equal to expected.
Output of pd.show_versions()
Details
AttributeError: module 'tables' has no attribute 'version'