To ignore the <code>SettingWithCopyWarning</code> warning in Python, you can use the <code>pd.options.mode.chained_assignment</code> setting. This setting controls whether or not the <code>SettingWithCopyWarning</code> warning will be raised when you make a copy of a slice of a DataFrame. To suppress this warning, you can set this option to <code>None</code> like this:
<pre><code class="lang-python">import pandas as pd

pd.options.mode.chained_assignment = None
</code></pre>
This will suppress the warning for the entire program. Alternatively, you can use the <code>warnings</code> module to filter out this specific warning like this:
<pre><code class="lang-python">import warnings

warnings.filterwarnings("ignore", category=SettingWithCopyWarning)
</code></pre>
This will also suppress the warning, but only for the code that comes after the <code>warnings.filterwarnings</code> call.

To ignore the `SettingWithCopyWarning` warning in Python, you can use the `pd.options.mode.chained_assignment` setting. This setting controls whether or not the `SettingWithCopyWarning` warning will be raised when you make a copy of a slice of a DataFrame. To suppress this warning, you can set this option to `None` like this:

```python
import pandas as pd

pd.options.mode.chained_assignment = None
```

This will suppress the warning for the entire program. Alternatively, you can use the `warnings` module to filter out this specific warning like this:

```python
import warnings

warnings.filterwarnings("ignore", category=SettingWithCopyWarning)
```

This will also suppress the warning, but only for the code that comes after the `warnings.filterwarnings` call.

How to ignore ‘settingswithcopy’ warning in Python