Ind*_*ild 2 python moving-average pandas
我有一个数据集如下:
ts
Out[227]:
Sales
Month
Jan 1808
Feb 1251
Mar 3023
Apr 4857
May 2506
Jun 2453
Jul 1180
Aug 4239
Sep 1759
Oct 2539
Nov 3923
Dec 2999
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取窗口移动平均值= 2后,输出为:
shifted = ts.shift(0)
window = shifted.rolling(window=2)
means = window.mean()
print(means)
Sales
Month
Jan NaN
Feb 1529.5
Mar 2137.0
Apr 3940.0
May 3681.5
Jun 2479.5
Jul 1816.5
Aug 2709.5
Sep 2999.0
Oct 2149.0
Nov 3231.0
Dec 3460.5
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我希望NaN被其原始值替换.可以吗?
试试这个:
In [92]: ts.rolling(window=2, min_periods=1).mean()
Out[92]:
Sales
Jan 1808.0
Feb 1529.5
Mar 2137.0
Apr 3940.0
May 3681.5
Jun 2479.5
Jul 1816.5
Aug 2709.5
Sep 2999.0
Oct 2149.0
Nov 3231.0
Dec 3461.0
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