推廣Python中的方法

Question

我試圖創建一個數組，我有風和需求的數組平均每隔15分鐘一天的時間間隔。我想在365天中的每一天將其變成日常平均值。這是我到目前爲止有：

dailyAvg = [] # this creates the initial empty array for method below 
def createDailyAvg(p): # The method 
    i = 0 
    while i < 35140: # I have 35140 data points in my array 
     dailyAvg.append(np.mean(p[i:i+95])) #Creates the avg of the 96, 15 minute avg 
     i += 95 
    return dailyAvg 

dailyAvgWind = createDailyAvg(Wind) # Wind is the array of 15 minute avg's. 
dailyAvgDemand = createDailyAvg(M) # M is the array of demand avg's 

到目前爲止，我可以，如果我寫這兩次完成這件事，但是這不是良好的編程。我想弄清楚如何在兩個數據集上使用這一個方法。謝謝。

Answer 1

您只需將dailyAvg作爲本地函數。通過這種方式，將每個函數執行時間初始化爲空列表（我敢打賭，問題是該函數的結果越做越大，生長，追加新的平均值，但不刪除以前的）

def createDailyAvg(p): # The method 
    dailyAvg = [] # this creates the initial empty array for this method below 
    i = 0 
    while i < 35140: # I have 35140 data points in my array 
     dailyAvg.append(np.mean(p[i:i+96])) #Creates the avg of the 96, 15 minute avg 
     i += 96 
    return dailyAvg 

dailyAvgWind = createDailyAvg(Wind) # Wind is the array of 15 minute avg's. 
dailyAvgDemand = createDailyAvg(M) # M is the array of demand avg's 

另外，我在兩個地方用96取代了95，因爲一個切片的結尾不包括指定的結尾。

Answer 2

def createDailyAvg(w,m): # The method 
    dailyAvg = [[],[]] # this creates the initial empty array for method below 
    i = 0 
    while i < 35140: # I have 35140 data points in my array 
     dailyAvg[0].append(np.mean(w[i:i+95])) #Creates the avg of the 96, 15 minute avg 
     dailyAvg[1].append(np.mean(m[i:i+95])) 
     i += 95 
    return dailyAvg 
dailyAvg = createDailyAvg(Wind,M) 
dailyAvgWind = dailyAvg[0] # Wind is the array of 15 minute avg's. 
dailyAvgDemand = dailyAvg[1] # M is the array of demand avg's