首页ValueError: axes don't match array

ValueError: axes don't match array

时间: 2024-06-06 22:07:02 浏览: 207

python3.7解决最小二乘遇到ValueError:Expected 2D array, got 1D array instead: array=[5.].关于reshape和predict

在用python的LinearRegression做最小二乘时遇到如下错误： ValueError: Expected 2D array, got 1D array instead: array=[5.]. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample. 翻译过来是： ValueError：预期为2D数组，改为获取1D数组：数组= [5.]。如果数据具有单个

This error occurs when the number of dimensions and/or sizes of the arrays being operated on do not match. This can happen when trying to perform operations such as addition, multiplication, or concatenation on arrays with different shapes. For example, if you have two arrays with shapes (3,4) and (4,3), you cannot add them together because their shapes do not match. To fix this error, you should ensure that the arrays you are operating on have the same number of dimensions and the same shape. You can use functions like numpy.reshape() or numpy.transpose() to change the shape of your arrays so that they are compatible.

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