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

[khemkaran10]

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

• closes BUG: describe(include=..) fails with unrelated error if provided data types are not present #61863
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.

[khemkaran10]

pre-commit.ci autofix

[khemkaran10]

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]

@mroeschke I have made the requested changes. can you please review it.

[github-actions]

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.

[mroeschke]

Thanks @khemkaran10