in Flags.allows_duplicate_labels(self, value) 94 if not value: 95 for ax in obj.axes: ---> 96 ax._maybe_check_unique() 98 self._allows_duplicate_labels = value File ~/work/pandas/pandas/pandas/core/indexes/base.py:715, in Index._maybe_check_unique(...
(self, t, force) 4469 "indexing.html#returning-a-view-versus-a-copy" 4470 ) 4471 4472 if value == "raise": -> 4473 raise SettingWithCopyError(t) 4474 if value == "warn": 4475 warnings.warn(t, SettingWithCopyWarning
DataFrame的列也可以有多层索引。 # 创建多层列索引columns=pd.MultiIndex.from_tuples([('Metrics','Score'),('Metrics','Weight'),('Info','Name')])data=[[85,0.5,'Alice'],[90,0.6,'Bob'],[78,0.4,'Charlie']]multi_col_df=pd.DataFrame(data,columns=columns)print(multi_col_df)""" Metrics...
.__finalize__(self, method="reindex")File ~/work/pandas/pandas/pandas/core/generic.py:5633, in NDFrame._reindex_axes(self, axes, level, limit, tolerance, method, fill_value, copy)5630 continue5632 ax = self._get_axis(a)-> 5633 new_index, indexer = ax.reindex(5634 labels, level=lev...
DataFrame.xs() returns a value error if a non-unique multi-index is used and the level kwarg is called. However, if the level karg is not called, or a tuple is passed the function behaves normally. import sys if sys.version[0] == '2': from StringIO import StringIO if sys.version...
一个标签列表或数组['a', 'b', 'c']。 一个带有标签'a':'f'的切片对象(请注意,与通常的 Python 切片相反,当索引中存在时,起始和停止都包括在内!请参见使用标签切片)。 一个布尔数组。 一个callable,请参见通过 callable 选择。 In [45]: s1 = pd.Series(np.random.randn(6), index=list('abc...
inIndex.reindex(self, target, method, level, limit, tolerance)4426raiseValueError("cannot handle a non-unique multi-index!")4427elifnotself.is_unique:4428# GH#42568->4429raiseValueError("cannot reindex on an axis with duplicate labels")4430else:4431indexer, _ = self.get_indexer_non_unique(...
Thereset_index()function also comes in handy when dealing with multi-index DataFrames. Let’s create a multi-index DataFrame and see how to reset its index: index=pd.MultiIndex.from_tuples([(i,j)foriinrange(3)forjinrange(3)],names=['outer','inner'])df=pd.DataFrame({'A':range(9...
This tutorial teaches how to restore from a MultiIndex to a single index DataFrame in Pandas using Python. MultiIndex DataFrame, also known as multi-level and hierarchical DataFrame, allows users to have multiple columns that can identify a
1. Introduction Whether we like it or not, in pandas we will come across to Series or DataFrame with multi-index. A multi-index often be generated fro