滾動標準偏差附加數據幀

Question

後不工作，我有一個大的數據幀temp_history：

Date    Temp 
2017-09-14 00:00:00 38.91588479 
2017-09-13 00:00:00 38.69563395 
2017-09-12 00:00:00 39.25504775 
2017-09-11 00:00:00 40.5487144 
2017-09-08 00:00:00 41.23372428 
2017-09-07 00:00:00 41.5960891 
2017-09-06 00:00:00 41.61939397 
... 
2016-11-30 00:00:00 37.32206175 
2016-11-29 00:00:00 36.04661564 
2016-11-28 00:00:00 35.70612757 
2016-11-25 00:00:00 35.15249571 
2016-11-23 00:00:00 36.77833439 
... 

而且我有今天的數據幀temp_today：

Date    Temp 
2017-09-15 08:59:02 62.85 

現在我附上今日數據使用歷史記錄

temp_history = temp_history.append(temp_today) 

這給合併數據框：

Date    Temp 
2017-09-15 08:59:02 62.85 
2017-09-14 00:00:00 38.91588479 
2017-09-13 00:00:00 38.69563395 
2017-09-12 00:00:00 39.25504775 
2017-09-11 00:00:00 40.5487144 
2017-09-08 00:00:00 41.23372428 
2017-09-07 00:00:00 41.5960891 
2017-09-06 00:00:00 41.61939397 
... 

現在，當我試圖計算7天滾動STD它不工作：

temp_history['ST_std'] = temp_history['Temp'].resample('D').ffill().rolling('7D', min_periods=2).std() #rolling 3 mth std 

它計算的一切，但忽略了今天的追加值在滾動std：

Date    Temp  ST_std 
2017-09-15 13:59:02 62.85 
2017-09-14 00:00:00 38.91588479 1.163391429 
2017-09-13 00:00:00 38.69563395 1.126344307 
2017-09-12 00:00:00 39.25504775 0.83068272 
2017-09-11 00:00:00 40.5487144 0.831276056 
2017-09-08 00:00:00 41.23372428 1.086552698 
2017-09-07 00:00:00 41.5960891 0.93493231 
2017-09-06 00:00:00 41.61939397 0.897336665 

我該如何克等待滾動標準以包括今天的價值？

Answer 1

不幸的是，我沒有足夠的聲望點來回答評論。但它可能是每一行的索引？嘗試：ignore_index = true在DataFrame.append

https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.append.html