You would use the `.values` attribute to get a DataFrame as a numpy array. Here are the steps:

1. Import the necessary libraries: pandas and numpy.
```python
import pandas as pd
import numpy as np
```
2. Create a DataFrame.
```python
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
```
3. Use the `.values` attribute to convert the DataFrame to a numpy array.
```python
array = df.values
```
4. Print the array to verify the conversion.
```python
print(array)
```
This will output:
```python
array([[1, 4],
[2, 5],
[3, 6]])
```
So, the DataFrame has been successfully converted to a numpy array.

Question

You would use the `.values` attribute to get a DataFrame as a numpy array. Here are the steps:

1. Import the necessary libraries: pandas and numpy.
```python
import pandas as pd
import numpy as np
```
2. Create a DataFrame.
```python
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
```
3. Use the `.values` attribute to convert the DataFrame to a numpy array.
```python
array = df.values
```
4. Print the array to verify the conversion.
```python
print(array)
```
This will output:
```python
array([[1, 4],
       [2, 5],
       [3, 6]])
```
So, the DataFrame has been successfully converted to a numpy array.

Knowee AI · Accepted Answer

You would use the `.values` attribute to get a DataFrame as a numpy array. Here are the steps:

1. Import the necessary libraries: pandas and numpy.
```python
import pandas as pd
import numpy as np
```
2. Create a DataFrame.
```python
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
```
3. Use the `.values` attribute to convert the DataFrame to a numpy array.
```python
array = df.values
```
4. Print the array to verify the conversion.
```python
print(array)
```
This will output:
```python
array([[1, 4],
       [2, 5],
       [3, 6]])
```
So, the DataFrame has been successfully converted to a numpy array.

Which of the following attributes would you use to get a DataFrame as a numpy array?

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