问西电质控图4号规则的编码

EN

temp_up=[]
temp_down=[]
for i in range(len(data)):
    if arr_data[i] > y_mean:
        temp_up.append(i)
    else:
        temp_down.append(i)

#now we have index values for both data above and below mean, 
#we will now get the sequence of the index to know if there's any run of or greater than length 9
from itertools import groupby
from operator import itemgetter
d_up=[]
d_down=[]
for k, g in groupby(enumerate(temp_up), lambda ix : ix[0] - ix[1]):
    t_up=(list(map(itemgetter(1), g)))
    if len(t_up)>=9:#check if the length of the sequence is greater than or equal to 9
        #get index to mark red for the data
        for i in range(8, len(t_up), 1):
            d_up.append(t_up[i])#index number of data points voilating number 4 rule (above mean)

for k, g in groupby(enumerate(temp_down), lambda ix : ix[0] - ix[1]):
    t_down=(list(map(itemgetter(1), g)))
    if len(t_down)>=9:#check if the length of the sequence is greater than or equal to 9
        #print(t_down)
        #get index to mark red for the data
        for i in range(8, len(t_down), 1):
            d_down.append(t_down[i])#index number of data points voilating number 4 rule (above mean)

data_above_r4 = pd.DataFrame(data.iloc[d_up])