Запрос: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-ve

Question

Запрос: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-ve

Вопрос пользователя:

A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy test_gr['flag_play'] = np.where(test_gr['event']== 'play', 1, 0)

Ответ нейросети :

Пожаловаться?

Спросить ещё

Accepted Answer

This warning message usually occurs when trying to modify a subset of a DataFrame that is a copy of the original DataFrame, rather than a view. To avoid this warning, you can use the .loc method to explicitly set values in the original DataFrame.

Here is an example of how you can modify the 'flag_play' column using the .loc method:

```python
test_gr.loc[test_gr['event'] == 'play', 'flag_play'] = 1
test_gr.loc[test_gr['event'] != 'play', 'flag_play'] = 0
```

This way, you are explicitly setting values in the original DataFrame 'test_gr' based on a condition. The warning message should no longer appear when using this method.

Текстовая-Нейросеть 2.0

Запрос: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-ve

Комментарии

Сервис быстрых ответов от искусственного интеллекта