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(...
-> 6794 label = self._maybe_cast_slice_bound(label, side) 6796 # we need to look up the label 6797 try: File ~/work/pandas/pandas/pandas/core/indexes/datetimes.py:642, in DatetimeIndex._maybe_cast_slice_bound(self, label, side) 637 if isinstance(label, dt.date) and not isinstance(...
In [24]:type(a.index) Out[24]: pandas.core.indexes.base.Index In [25]:type(a.values) Out[25]: numpy.ndarray 由上面的代码可以看出,pandas Series一维数组实际上是由一个numpy一维数组和类型为pandas.core.indexes.base.Index的一维数组拼成的。 DataFrame多维数组# 创建DataFrame多维数组# Copy # 要创...
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) ->3812raiseKeyError(key)fromerr3813exceptTypeError...
(indexer, axis=axis)File ~/work/pandas/pandas/pandas/core/indexes/datetimes.py:682, in DatetimeIndex.slice_indexer(self, start, end, step)674 # GH#33146 if start and end are combinations of str and None and Index is not675 # monotonic, we can not use Index.slice_indexer because it ...
[label]1236 # Similar to Index.get_value, but we do not fall back to positional-> 1237 loc = self.index.get_loc(label)1239 if is_integer(loc):1240 return self._values[loc]File ~/work/pandas/pandas/pandas/core/indexes/base.py:3812, in Index.get_loc(self, key)3807 if isinstance(...
\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in __getitem__(self, key),程序员大本营,技术文章内容聚合第一站。
t1= pd.to_datetime(time_list1, errors="ignore")print(t1, type(t1))print("")t2 = pd.to_datetime(time_list1, errors="coerce")print(t2)Index(['20171019', '20181020', 'bbbb', '20191021'], dtype='object') <class 'pandas.core.indexes.base.Index'> DatetimeIndex(['2017-10-19', '...
# 方法1 [np.where(i == ser1)[0].tolist()[0] for i in ser2] # 方法2 [pd.Index(...
#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] 1. list的切片方法可以沿用 df.loc[1304:].head() 1. 和list的情形一样, 2402::-1表示从索引标签=2402的元素开始,以步长=1返回list...