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",...
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, side
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...
如果访问的标签不在索引中,则会引发异常 In[26]:s["f"]---KeyErrorTraceback(mostrecentcalllast)File~/work/pandas/pandas/pandas/core/indexes/base.py:3805,inIndex.get_loc(self,key)3804try:->3805returnself._engine.get_loc(casted_key)3806exceptKeyErroraserr:Fileindex.pyx:167,inpandas._libs.index...
pandas 提供了用于内存分析的数据结构,这使得使用 pandas 分析大于内存数据集的数据集有些棘手。即使是占用相当大内存的数据集也变得难以处理,因为一些 pandas 操作需要进行中间复制。 本文提供了一些建议,以便将您的分析扩展到更大的数据集。这是对提高性能的补充,后者侧重于加快适���内存的数据集的分析。
维度为1维dict可以用来指定Series的索引指定copy=False，可以避免修改构建Series的list, dict, numpy array...
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) ...
indexes/base.py:3805, in Index.get_loc(self, key) 3804 try: -> 3805 return self._engine.get_loc(casted_key) 3806 except KeyError as err: File index.pyx:167, in pandas._libs.index.IndexEngine.get_loc() File index.pyx:196, in pandas._libs.index.IndexEngine.get_loc() File pandas/...
Using any looping (Python for loop) technique we can access individual indexes of a given DataFrame in Python.# Get the index of Dataframe use for loop for i in df.index: print(i) # Output: # 0 # 1 # 2 # 3 Get Pandas Index as a List...
df.index.values- returns the index values as a list Types of Indexes Pandas supports different types of indexes that offer various functionalities based on the data requirements. A few notable types are listed in the table below. In addition to these, there are other types of indexes: ...