FutureWarning: Dropping invalid columns in DataFrameGroupBy.mean is deprecated. In a future version, a TypeError will be raised. Before calling .mean, select only columns which should be valid for the function.

这个警告是由于在groupby之后，对数据进行了聚合操作，但是有些列不能被聚合，因此被忽略掉了。在将来的版本中，这些无效的列会导致TypeError异常的抛出。为了避免这个警告和将来的异常，我们需要在进行聚合操作之前，先将需要聚合的列筛选出来，例如：

import pandas as pd

# 创建数据集
data = pd.DataFrame({'group':['A', 'B', 'C', 'A', 'B', 'C'],
                     'value':[1, 2, 3, 4, 5, 6],
                     'other_column':[7, 8, 9, 10, 11, 12]})

# 按照group列进行分组，并求每组的平均值
grouped_data = data.groupby('group')['value'].mean()

# 打印分组后的结果
print(grouped_data)

输出结果为：

group
A    2.5
B    3.5
C    4.5
Name: value, dtype: float64

上面的代码中，我们在进行groupby之前，先将需要聚合的列筛选出来，即`data.groupby('group')['value']`，然后再使用mean函数进行聚合操作，这样就避免了警告和将来的异常。

相关问题

FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction. inputs = inputs.fillna(inputs.mean())

这是一个警告信息，意思是在DataFrame的缩减操作中，如果不指定numeric_only参数，将来会出现TypeError错误。建议在进行缩减操作之前，先选择有效的列。在本段代码中，inputs.fillna(inputs.mean())的作用是用列的平均值填充缺失值。如果您想避免这个警告，可以在缩减操作之前选择有效的列，或者在缩减操作中指定numeric_only参数。

Your branch is based on 'origin/zw/1.2.6-dropping-probability', but the upstream is gone.

I understand that you are facing an issue with your branch. If the upstream branch 'origin/zw/1.2.6-dropping-probability' no longer exists, you can follow these steps to resolve the issue:

1. Check if you have any local commits that are not pushed to the remote repository. If yes, create a backup of those commits by creating a new branch or applying a patch.
2. Reset your branch to the last known good commit by using the following command:

   git reset --hard <commit-hash>

Replace `<commit-hash>` with the hash of the last known good commit.
3. If you have created a backup branch in step 1, you can cherry-pick or apply the patch to reapply your local commits.
4. If you don't have any local commits to preserve, you can delete your branch and recreate it from the updated upstream branch or another appropriate branch.

Remember to consult with your team members or project maintainers before making any significant changes to avoid any conflicts or disruptions in your workflow.