Scipy hstack results in “TypeError: no supported conversion for types: (dtype('float64'), dtype('O') python

X =sp.sparse.hstack((X, OtherColumn.values)) #error here sc = preprocessing.StandardScaler().fit(X) X = sc.transform(X) X_test = sc.transform(X_test)

Full error message:

--------------------------------------------------------------------------- TypeErrorTraceback (most recent call last) in () ---> 47 X =sp.sparse.hstack((X, OtherColumn.values)) 48 sc = preprocessing.StandardScaler().fit(X) 49 X = sc.transform(X)C:\Users\Simon\Anaconda\lib\site-packages\scipy\sparse\construct.pyc in hstack(blocks, format, dtype) 421 422""" --> 423return bmat([blocks], format=format, dtype=dtype) 424 425 C:\Users\Simon\Anaconda\lib\site-packages\scipy\sparse\construct.pyc in bmat(blocks, format, dtype) 537nnz = sum([A.nnz for A in blocks[block_mask]]) 538if dtype is None: --> 539dtype = upcast(*tuple([A.dtype for A in blocks[block_mask]])) 540 541row_offsets = np.concatenate(([0], np.cumsum(brow_lengths)))C:\Users\Simon\Anaconda\lib\site-packages\scipy\sparse\sputils.pyc in upcast(*args) 58return t 59 ---> 60raise TypeError('no supported conversion for types: %r' % (args,)) 61 62 TypeError: no supported conversion for types: (dtype('float64'), dtype('O'))

【Scipy hstack results in “TypeError: no supported conversion for types: (dtype('float64'), dtype('O')】修改方法如下：

sparse.hstack(X, A) # error sparse.hstack(X.astype(object), A) # cast X to object; return object sparse.hstack(X, A.astype(float)) # cast A to float; return float hstack(X.A, A) # make X dense, result will be type object