在Python中泛化方法

Question

我正在尝试创建一个方法，我有一个数组的风和需求平均通过一天在15分钟的间隔为1年。我想把这变成365天的每日平均值。以下是我目前掌握的情况：

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

到目前为止，我可以做到这一点，如果我写两次，但这不是好的编程。我想弄清楚如何在两个数据集上使用这个方法。谢谢。你知道吗

Answer 1

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

Answer 2

您只需要将dailyAvg设置为函数的本地。这样，每次函数执行时，它都会被初始化为一个空列表（我打赌问题是函数的结果不断增长，不断增长，添加新的平均值，但不会删除以前的平均值）

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，我在两个位置将95替换为96，因为切片的结尾不包括指定的结尾。你知道吗