pandas Python Numpy：不推荐使用 reshape
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Python Numpy: reshape is deprecated
提问by jlt199
I'm trying to reshape a vector into an array
我正在尝试将向量重塑为数组
myArray = np.reshape(myVector,[nCol,nRow])
but I get a depreciation warning:
但我收到折旧警告：
FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead
return reshape(newshape, order=order)
When I use
当我使用
myArray = np.values.reshape(myVector,[nCol,nRow])
I get an error
我收到一个错误
AttributeError: module 'numpy' has no attribute 'values'
Please can someone explain what's going on and what I should be doing? Many thanks
请有人解释发生了什么以及我应该做什么？非常感谢
回答by tbdees
calling np.reshape(whatever args) is no longer the preferred way to call the function. instead, use this: myArray = myVector.values.reshape([nCol,nRow])
调用 np.reshape(whatever args) 不再是调用函数的首选方式。相反，使用这个：myArray = myVector.values.reshape([nCol,nRow])
回答by u9377051
I have solved my problems using this:
我已经使用这个解决了我的问题：
train_set_X = train_df["STRAIGHT_DIST"]
train_set_X_np = np.array(train_set_X)
train_set_X_np = train_set_X_np.reshape([train_set_X.shape[0], 1])
In your specific case, you should use this:
在您的特定情况下，您应该使用这个：
myVector_np = np.array(myVector)
myVector_np = myVector_np.reshape([myVector.shape[0], 1])
