'DataFrame' object has no attribute 'as_matrix'

The error message you are seeing means that you are trying to call the 'as_matrix' method on a DataFrame object in your code, but this method does not exist for this object.

This is because the 'as_matrix' method has been deprecated in recent versions of pandas, and has been replaced with the 'values' attribute.

To fix this error, you should replace any instances of 'as_matrix' in your code with 'values'. For example, if you had previously used the following code:

data = df.as_matrix()

You should change it to:

data = df.values

This will give you a NumPy array containing the values in your DataFrame, which you can use for further analysis or processing.

相关问题

'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.

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'.