Python 3.11.0 | packaged by conda-forge | (main, Oct 25 2022, 06:12:32) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import pandas as pd >>> pd.__version__ '1.5.1' >>> df = pd.DataFrame({'a': [1, 2, 3], 'b': list('abc')}) >>> df.agg('mean', numeric_only=True) a 2.0 dtype: float64 >>> df.agg(['mean', 'std'], numeric_only=True) <stdin>:1: FutureWarning: ['b'] did not aggregate successfully. If any error is raised this will raise in a future version of pandas. Drop these columns/ops to avoid this warning. a mean 2.0 std 1.0 >>> df.agg(pd.DataFrame.mean, numeric_only=True) <stdin>:1: FutureWarning: Calling Series.mean with numeric_only=True and dtype object will raise a TypeError in the future Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\frame.py", line 9329, in aggregate result = op.agg() ^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\apply.py", line 773, in agg result = self.obj.apply(self.orig_f, axis, args=self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\frame.py", line 9555, in apply return op.apply().__finalize__(self, method="apply") ^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\apply.py", line 746, in apply return self.apply_standard() ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\apply.py", line 873, in apply_standard results, res_index = self.apply_series_generator() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\apply.py", line 889, in apply_series_generator results[i] = self.f(v) ^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\apply.py", line 139, in f return func(x, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\generic.py", line 11847, in mean return NDFrame.mean(self, axis, skipna, level, numeric_only, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\generic.py", line 11401, in mean return self._stat_function( ^^^^^^^^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\generic.py", line 11353, in _stat_function return self._reduce( ^^^^^^^^^^^^^ File "C:\Users\alegout\Miniconda3\envs\pandas1.5\Lib\site-packages\pandas\core\series.py", line 4812, in _reduce raise NotImplementedError( NotImplementedError: Series.mean does not implement numeric_only. >>>