Python ValueError:条件应为布尔数组，而不是浮点64

我试图设定目标，然后缩放我的特征。但是，我得到一个错误：

# Set a variable (features) with the names of all the features BUT the target variable.

X = data.drop("diagnosis_result",1)   #Feature Matrix
y = data["diagnosis_result"]          #Target Variable
data.head()

print(f"The list of columns that represent features is:\n{X}")
print(f"So, we have {len(X)} dimensions in our feature vectors.")

scaler = RobustScaler().fit(data[X])
data[X] = scaler.transform(data[X]).round(2)

print()
data.head()

---

您可以将其重塑为目标变量和featurematrix

X = data.drop("diagnosis_result",1).reshape(-1,1)   #Feature Matrix
y = data["diagnosis_result"]..reshape(-1,1)          #Target Variable