用python獲取複雜度的P值
阿新 • • 發佈:2018-12-14
#coding:utf-8 import os import matplotlib.pyplot as plt plt.switch_backend('agg') path = os.getcwd() f_fasta = open(path+'/fac_cpx.txt','r') list_data = [] for line in f_fasta.readlines(): line = line.strip('\n') list_data.append(line) f_fasta.close() #print(len(list_data)) List_Num = [] for i in range(len(list_data)): a_seq = list_data[i] A_seq = a_seq.split(',') A_seq = list(map(int,A_seq)) List_Num.append(A_seq) list_box_1_5 = [] for j in range(5): list_box = [] for i in range(len(List_Num)): list_box.append(List_Num[i][j]) list_box_1_5.append(list_box) #list_box_1_5 includes 5 types ,and each has 4226 #LCSD = [16,66,91,93,92] LCSD = [16,49,70,78,81] #a = [[1,1,3,4,5],[6,1,1,1,5],[3,2,7,8,9]] def P_value(a): P = [] for j in range(len(LCSD)): a_1 =[] for i in range(len(a[j])): if LCSD[j] >= a[j][i]: a_1.append(a[j][i]) p = round(len(a_1)/len(a[j]),3) P.append(p) return P P = P_value(list_box_1_5) print(P)