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>>> import pandas as pd>>> df1 = pd.read_csv('sample.csv')>>> df1.mean():1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.Eng 83.1Math 73.7dtype: float64 [ Solution ]Select only valid columns or set numeric_only=True. >>> df..

import pandas as pddf = pd.read_csv('sample.csv') df.median() or df.corr() [ Error message ]---------------------------------------------------------------------------------------------------------------------------------:1: FutureWarning: The default value of numeric_only in DataFrame.median is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=Non..

[ Code ]---------------------------------------------------------------------------import pandas as pddf1 = pd.read_csv('sample.csv')--------------------------------------------------------------------------- [ Error message ]C:\py_test> python sample.pyTraceback (most recent call last): File "C:\py_test\sample.py", line 3, in df1 = pd.read_csv('sample.csv') File "C:\Python\Python39\lib\si..

[ error message ]>>> df = pd.read_excel('data.xlsx')Traceback (most recent call last): File "C:\devel\Python\Python39\lib\site-packages\pandas\compat\_optional.py", line 138, in import_optional_dependency module = importlib.import_module(name) File "C:\devel\Python\Python39\lib\importlib\__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) ..