我正在尝试运行有关成人人口普查数据的示例代码。 当我运行这段代码时:
X_train, X_test, y_train, y_test = cross_validation.train_test_split(encoded_data[encoded_data.columns - ["Target"]], encoded_data["Target"], train_size=0.70, random_state = 42)
scaler = preprocessing.StandardScaler()
X_train = pd.DataFrame(scaler.fit_transform(X_train.astype("f64")), columns=X_train.columns)
X_test = scaler.transform(X_test.astype("f64"))
我一直收到这个错误:
2101 def __sub__(self, other):
2102 raise TypeError("cannot perform __sub__ with this index type: "
-> 2103 "{typ}".format(typ=type(self)))
2104
2105 def __and__(self, other):
TypeError: cannot perform __sub__ with this index type: <class 'pandas.core.indexes.base.Index'>
我目前使用的是anaconda python27
最佳答案
试试这个:
X_test = scaler.transform(X_test.astype("float64"))
关于python - 类型错误 : cannot perform __sub__ with this index type: <class 'pandas.core.indexes.base.Index' >，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/47834516/