side) 643 self._data._assert_tzawareness_compat(label) 644 return Timestamp(label) File ~/work/pandas/pandas/pandas/core/indexes/datetimelike.py:378, in DatetimeIndexOpsMixin._maybe_cast_slice_bound(self, label,
当传递元组列表给Index构造函数时,它将尝试返回MultiIndex。以下示例演示了初始化 MultiIndexes 的不同方法。 代码语言:javascript 代码运行次数:0 运行 复制 In [1]: arrays = [ ...: ["bar", "bar", "baz", "baz", "foo", "foo", "qux", "qux"], ...: ["one", "two", "one", "two",...
方法get_level_values()将返回特定级别上每个位置的标签向量: In [23]: index.get_level_values(0)Out[23]: Index(['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'], dtype='object', name='first')In [24]: index.get_level_values("second")Out[24]: Index(['one', 'tw...
In [30]: df[["foo","qux"]].columns.levels# slicedOut[30]: FrozenList([['bar','baz','foo','qux'], ['one','two']]) 这样做是为了避免重新计算级别以使切片高度高效。如果你只想看到已使用的级别,可以使用get_level_values()方法。 In [31]: df[["foo","qux"]].columns.to_numpy() ...
File ~/work/pandas/pandas/pandas/core/indexes/base.py:3812,inIndex.get_loc(self, key)3807ifisinstance(casted_key,slice)or(3808isinstance(casted_key, abc.Iterable)3809andany(isinstance(x,slice)forxincasted_key)3810):3811raiseInvalidIndexError(key) ...
ofthefollowingexception:KeyErrorTraceback(mostrecentcalllast)CellIn[26],line1--->1s["f"]File~/work/pandas/pandas/pandas/core/series.py:1121,inSeries.__getitem__(self,key)1118returnself._values[key]1120elifkey_is_scalar:->1121returnself._get_value(key)1123# Convert generator to list before...
多行索引时, 传入的必须是一个list, 而不是两个或多个索引, 否则会报错 #以下索引报错 # TypeError: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [2304] of <class 'int'> df.loc[1102,2304] ...
The iloc property gets, or sets, the value(s) of the specified indexes.Specify both row and column with an index.To access more than one row, use double brackets and specify the indexes, separated by commas:df.iloc[[0, 2]]Specify columns by including their indexes in another list:df....
method=method5635 )5637 axis = self._get_axis_number(a)5638 obj = obj._reindex_with_indexers(5639 {axis: [new_index, indexer]},5640 fill_value=fill_value,5641 copy=copy,5642 allow_dups=False,5643 )File ~/work/pandas/pandas/pandas/core/indexes/base.py:4429, in Index.reindex(self, ...
# Get the index of DataFrame print("Get the index of DataFrame:\n", df.index) Yields below output. By default it returns the type of Index, since we have a range index it returnedRangeIndex(). Using any looping (Python for loop) technique we can access individual indexes of a given ...