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BUG FIX: None of the included dtypes present in df will raise ValueError with clear error message. #61871

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BUG FIX: None of the included dtypes present in df will raise ValueError with clear error message. #61871

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khemkaran10
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@khemkaran10 khemkaran10 commented Jul 16, 2025 •
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Before Fix:

>>> df = pd.DataFrame({"a": [1, 2, 3]})
>>> df.describe(include=["datetime"])
...
ValueError: No objects to concatenate

After Fix:

>>> df = pd.DataFrame({"a": [1, 2, 3]})
>>> df.describe(include=["datetime"])
...
ValueError: No columns match the specified include or exclude data types

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pre-commit.ci autofix

mroeschke
mroeschke requested changes Jul 16, 2025
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@mroeschke mroeschke added the Error Reporting Incorrect or improved errors from pandas label Jul 16, 2025
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df = pd.DataFrame({"a": [1, 2, 3]})
df.describe(exclude=[np.int64])
...
ValueError: None of the included dtypes are present in the DataFrame

After the fix, this example will also show the same error. Should we change the error message to something like,
No columns match the specified include or exclude data types

@khemkaran10 khemkaran10 requested a review from mroeschke July 16, 2025 18:19
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@mroeschke I have made the requested changes. can you please review it.

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This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this.

@github-actions github-actions bot added the Stale label Aug 26, 2025
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@mroeschke mroeschke Awaiting requested review from mroeschke

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BUG: describe(include=..) fails with unrelated error if provided data types are not present
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