Python - pandas：Rollingmean 命令不起作用
Python - pandas: Rollingmean command is not working
dataframe = pd.DataFrame(data={'user': [1,1,1,1,1,2,2,2,2,2], 'usage':
[12,18,76,32,43,45,19,42,9,10]})
dataframe['mean'] = dataframe.groupby('user'['usage'].apply(pd.rolling_mean, 2))
为什么这段代码不起作用？
我收到滚动平均属性错误 pandas
将 groupby 与 rolling、docs 一起使用：
dataframe['mean'] = (dataframe.groupby('user')['usage']
.rolling(2)
.mean()
.reset_index(level=0, drop=True))
print (dataframe)
user usage mean
0 1 12 NaN
1 1 18 15.0
2 1 76 47.0
3 1 32 54.0
4 1 43 37.5
5 2 45 NaN
6 2 19 32.0
7 2 42 30.5
8 2 9 25.5
9 2 10 9.5
dataframe = pd.DataFrame(data={'user': [1,1,1,1,1,2,2,2,2,2], 'usage':
[12,18,76,32,43,45,19,42,9,10]})
dataframe['mean'] = dataframe.groupby('user'['usage'].apply(pd.rolling_mean, 2))
为什么这段代码不起作用？
我收到滚动平均属性错误 pandas
将 groupby 与 rolling、docs 一起使用：
dataframe['mean'] = (dataframe.groupby('user')['usage']
.rolling(2)
.mean()
.reset_index(level=0, drop=True))
print (dataframe)
user usage mean
0 1 12 NaN
1 1 18 15.0
2 1 76 47.0
3 1 32 54.0
4 1 43 37.5
5 2 45 NaN
6 2 19 32.0
7 2 42 30.5
8 2 9 25.5
9 2 10 9.5