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(...
Python报错:TypeError: data type not understood 2019-12-11 20:16 −K-Means聚类算法 def randCent(dataSet, k): m, n = dataSet.shape # numpy中的shape函数的返回一个矩阵的规模,即是几行几列 centrodids = np.zeros(k, n) for i in range(k): ... ...
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(target) ...
In [153]: df.iat[0, 0]Out[153]: 'a'In [154]: df["cats"] = df["cats"].cat.rename_categories(["x", "y", "z"])In [155]: df.at["h", "cats"] # returns a stringOut[155]: 'x' 注意 这与R 的factor函数相反,其中factor(c(1,2,3))[1]返回一个单个值factor。
168 dtype = pandas_dtype(dtype) 169 170 # a compound dtype d:\Anaconda3\lib\site-packages\pandas\core\dtypes\common.py in pandas_dtype(dtype) 2011 2012 try: -> 2013 npdtype = np.dtype(dtype) 2014 except (TypeError, ValueError): 2015 raise TypeError: data type "string" not understood...
Python报错:TypeError: data type not understood 2019-12-11 20:16 −K-Means聚类算法 def randCent(dataSet, k): m, n = dataSet.shape # numpy中的shape函数的返回一个矩阵的规模,即是几行几列 centrodids = np.zeros(k, n) for i in range(k): ... ...
所有CategoricalDtypecompare的实例都等于string'category'。 In [52]:c1=="category"Out[52]:True 警告 因为dtype='category'本质上是,并且由于所有实例都等于,所以所有实例比较都等于a,而与或无关。CategoricalDtype(None,False)CategoricalDtype'category'CategoricalDtypeCategoricalDtype(None,False)categoriesordered ...
index_label[0] # if string good to go elif self.index_label and isinstance(self.index_label, str): index_label = self.index_label else: index_label = self.df.index.names[0] if isinstance(self.columns, ABCMultiIndex): self.rowcounter += 1 if index_label and self.header is not ...
New issue Closed BUG: read_csv: dtype={'id' : np.str}: Datatype not understood#3209 Description amelio-vazquez-reina amelio-vazquez-reina mentioned thison Mar 29, 2013 jreback commentedon Mar 30, 2013 jreback jreback commentedon Apr 3, 2013 ...
Otherwise I'm really not sure what could be causing this. Did the code that in my previous comment produce the error? doespd.to_datetime(df['ds'])produce the error?