module 'pandas' has no attribute 'rolling _mean'

This error message indicates that there is a typo in the code, where there is an extra space between "rolling" and "_mean" in the attribute name. The correct attribute name is "rolling_mean" in pandas module. The following code snippet demonstrates how to use the rolling_mean method:

import pandas as pd

# create a sample data frame
df = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [10, 20, 30, 40, 50]})

# calculate the rolling mean of column A with window size 2
rolling_mean = df['A'].rolling(window=2).mean()

print(rolling_mean)

Output:

0    NaN
1    1.5
2    2.5
3    3.5
4    4.5
Name: A, dtype: float64

相关问题

module 'pandas' has no attribute 'rolling_mean'

The error message you received indicates that the 'rolling_mean' attribute does not exist in the 'pandas' module. This is likely because the attribute has been deprecated and replaced by 'rolling'.

You can try replacing 'rolling_mean' with 'rolling' in your code to see if that resolves the issue. For example, if you previously had:

df.rolling_mean(window=3)

You can change it to:

df.rolling(window=3).mean()

AttributeError: module 'pandas' has no attribute 'rolling_mean'

这个错误是因为 `rolling_mean` 已经被弃用了，应该使用 `rolling().mean()`。

例如，如果你想对 Pandas DataFrame 中的一列计算滚动平均值，可以使用以下代码：

import pandas as pd

# 创建 DataFrame
df = pd.DataFrame({'values': [1, 2, 3, 4, 5]})

# 计算滚动平均值
rolling_mean = df['values'].rolling(window=2).mean()
print(rolling_mean)

输出：

0    NaN
1    1.5
2    2.5
3    3.5
4    4.5
Name: values, dtype: float64

在这个例子中，我们使用了 `rolling()` 方法来计算滚动窗口大小为 2 的平均值。