The problem is the way you are trying to index theXusingX[train_index].You need to use.locor.ilocsince you havepandasdataframe. Use this: 1st way: Example usingiloc 2nd way: Example by converting pandas to numpy in advance
Pandas KeyError:值不在索引中 我有以下代码, df = pd.read_csv(CsvFileName) p = df.pivot_table(index=['Hour'], columns='DOW', values='Changes', aggfunc=np.mean).round(0) p.fillna(0, inplace=True) p[["1Sun", "2Mon", "3Tue", "4Wed", "5Thu", "6Fri", "7Sat"]] = p[...
问带有索引的Pandas绘图导致'KeyError []不在索引中‘ENPandas-13.索引 索引运算符[]和属性运算符.可用的。 另外支持三种多轴索引： .ix()已废弃 索引运算符 对象索引描述 Seriess[index]标量值 DataFramedf[row_index, column_index]标量对象 Panelp[item_index, major_index, minor_index]p.loc[...
检查键是否存在于DataFrame中,然后再访问它 key_to_check = 'key_not_exist' if key_to_check in df: value = df[key_to_check] else: value = None print(value) # 输出:None
问Pandas，Keyerror列不在索引中EN版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本...
Pull requests93 Actions Projects Security Insights Additional navigation options BUG:KeyError: '[nan] not in index'when usingnanto index#52234 New issue Closed #53698 Description ssche ssche added Bug Needs TriageIssue that has not been reviewed by a pandas team member ...
示例1:基本的KeyError importpandasaspd# 创建一个简单的DataFramedf=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]},index=['a','b','c'])# 尝试使用不存在的列标签try:result=df.loc['a','C']exceptKeyError:print("Column 'C' does not exist in DataFrame.") ...
pandas提示“Keyerror”pandas提⽰“Keyerror”pandas excel报错 Traceback (most recent call last):File "D:\Softwares\Python3.6.8\lib\site-packages\pandas\core\indexes\base.py", line 2646, in get_loc return self._engine.get_loc(key)File "pandas\_libs\index.pyx", line 111, in pandas._...
pandas提示“Keyerror” pandas excel报错 Traceback (most recent call last):File"D:\Softwares\Python3.6.8\lib\site-packages\pandas\core\indexes\base.py",line2646,inget_locreturnself._engine.get_loc(key)File"pandas\_libs\index.pyx",line111,inpandas._libs.index.IndexEngine.get_locFile"pandas\_...
values = s[[0,3]] values # 输出 0 1 3 2 Name: my_name, dtype: int64 # 以下报错,KeyError: '[1] not in index' values = s[[0,1]] values 六、reindex方法 reindex()方法也是非常常见的,我们来简单的看一下这个函数的定义: 这个函数为什么那么常见呢,因为:Pandas中的Series对象的reindex方法...