'DataFrame' object has no attribute 'as_matrix'什么意思

这个错误通常表示你在使用Pandas的DataFrame对象时，调用了`as_matrix()`方法，但是该方法已经在Pandas版本0.24.0中被弃用了。

你可以使用`values`属性来获取DataFrame中的数据，例如`df.values`。或者使用`to_numpy()`方法来获取DataFrame中的数据，例如`df.to_numpy()`。这两种方法都可以将DataFrame对象转换为NumPy数组，以便进行计算和分析。

相关问题

DataFrame' object has no attribute 'as_matrix'

The 'DataFrame' object in pandas does not have an 'as_matrix' attribute. This attribute was deprecated in newer versions of pandas. Instead, you can use the 'values' attribute to convert a DataFrame to a numpy array. For example, you can use the following code:

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# Convert DataFrame to numpy array
array = df.values

In this code, the 'values' attribute is used to convert the DataFrame 'df' into a numpy array 'array'.

'DataFrame' object has no attribute 'as_matrix

The error message "AttributeError: 'DataFrame' object has no attribute 'as_matrix'" means that you are trying to access the 'as_matrix' attribute of a Pandas DataFrame object, but this attribute does not exist. The 'as_matrix' method was removed in Pandas version 0.24.0, as it was deemed to be confusing and potentially dangerous.

To fix this error, you can replace the 'as_matrix' method with the 'values' property, which returns the underlying NumPy array of the DataFrame. For example, if you have a DataFrame called 'df', you would replace:

X = df.as_matrix()

with:

X = df.values

This should solve the error and allow you to access the values of the DataFrame.