'DataFrame' object has no attribute 'as_matrix'
时间: 2023-09-25 09:16:23 浏览: 63
The error message "DataFrame object has no attribute 'as_matrix'" usually occurs when you are trying to call the "as_matrix()" method on a pandas DataFrame object, which has been removed since version 0.24.0.
To fix this error, you can replace the "as_matrix()" method with the "values" attribute, which returns a NumPy array containing the same data as the DataFrame. For example, instead of calling:
```python
X = df.as_matrix()
```
You can call:
```python
X = df.values
```
This should fix the error and allow you to retrieve the data from the DataFrame as a NumPy array.
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:
```python
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.
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