+;的操作数类型不受支持:';int';和';列表';-python
我在csv文件中有如下数据:+;的操作数类型不受支持:';int';和';列表';-python,python,python-2.7,Python,Python 2.7,我在csv文件中有如下数据: F1,1,1,1,1,0,1,1,0,0,1 F2,1,0,0,0,0,0,1,0,1,1 F3,1,0,0,0,0,0,1,1,1,1 F4,1,0,0,0,0,0,1,1,1,0 F5,14,24,22,22,22,16,18,19,26,22 F6,8.0625,6.2,6.2609,6.6818,6.2174,6.3333,7.85,6.0833,6.9655,6.9167 F7,0,0,0,0,0,0,1,0,1,0 F8,1,0,2,0
F1,1,1,1,1,0,1,1,0,0,1
F2,1,0,0,0,0,0,1,0,1,1
F3,1,0,0,0,0,0,1,1,1,1
F4,1,0,0,0,0,0,1,1,1,0
F5,14,24,22,22,22,16,18,19,26,22
F6,8.0625,6.2,6.2609,6.6818,6.2174,6.3333,7.85,6.0833,6.9655,6.9167
F7,0,0,0,0,0,0,1,0,1,0
F8,1,0,2,0,0,0,2,0,0,0
F9,1,0,0,0,1,1,0,0,0,0
F10,8,4,3,3,3,6,8,5,8,4
F11,0,0,1,0,0,1,0,0,0,0
F12,1,0,0,0,1,0,1,1,1,1
我只想对数字求和,而不是字符串和我的代码,如下所示:
import csv
import math
import copy
class Pearsons:
def __init__(self,fiturs,docs):
self.fiturs = fiturs
self.docs = docs
def x_value(self):
sumx = []
for fitur in self.fiturs:
x = sum(([float(x)]) for x in fitur[1:])
sumx.append(x)
print sumx
def x_pow(self):
sumxp = []
for fitur in self.fiturs:
xval_pow = sum([float(x)**2 for x in fitur[1:]])
sumxp.append(xval_pow)
return sumxp
def y_value(self):
sumy = []
for dokumen in self.docs:
if dokumen[2] == "POSITIF":
sumy.append(1)
else:
sumy.append(0)
sigma_y = sum(sumy)
return sigma_y
def y_pow(self):
sumy = []
for dokumen in self.docs:
if dokumen[2] == 'POSITIF':
sumy.append(1)
else:
sumy.append(0)
ypow = []
for x in sumy:
ypow.append(x ** 2)
sigmapow = sum(ypow)
return sigmapow
def xy_val(self):
list_y = []
for dokumen in self.docs:
if dokumen[2] == 'POSITIF':
list_y.append(1)
else:
list_y.append(0)
# print list_y
sigmaxy = []
for xyfitur in self.fiturs:
xy = []
for i, x in enumerate(list_y):
xy.append(float(xyfitur[i]) * list_y[i])
sigmaxy.append(sum(xy))
return sigmaxy
def pearsons(self):
list_y = []
for dokumen in self.docs:
if dokumen[2] == 'POSITIF':
list_y.append(1)
else:
list_y.append(0)
# Assume len(x) == len(y)
n = len(list_y)
sigmax = self.x_value()
sigmay = self.y_value()
sigmaxpow = self.x_pow()
sigmaypow = self.y_pow()
sigmaxy = self.xy_val()
rpxy_list = []
for i, v in enumerate(sigmax):
rpxy_top = (n * sigmaxy[i]) - (sigmax[i] * sigmay)
rpxy_bot = math.sqrt((n * sigmaxpow[i]) - (sigmax[i] ** 2)) * math.sqrt((n * sigmaypow) - (sigmay ** 2))
if rpxy_bot == 0:
rpxy_list.append(0)
else:
rpxy_list.append(abs(rpxy_top / rpxy_bot))
#print rpxy_list
return rpxy_list
fiturs = []
docs = []
with open("features2.csv", "rb") as f:
fiturcsv = csv.reader(f, None)
fiturs = [x for x in fiturcsv]
fiturs.insert(0, fiturs[0])
with open("datalatih.csv", "rb") as f:
docscsv = csv.reader(f)
docs = [x for x in docscsv]
p = Pearsons(fiturs, docs)
# nb.BernoulliNaiveBayes()
p.x_value()
#p.xy_val()
它会导致以下错误:
C:/Users/USER/PycharmProjects/Skripsi/coba.py回溯(最新版本)
调用last):文件“C:/Users/USER/PycharmProjects/Skripsi/coba.py”,
第117行,在
p、 x_值()文件“C:/Users/USER/PycharmProjects/Skripsi/coba.py”,第14行,x_值
x=fitur[1:]中x的和([float(x)])类型错误:不支持+:“int”和“list”的操作数类型
进程已完成,退出代码为1
代码中有一个额外的
]
应该是
def x_value(self):
sumx = []
for fitur in self.fiturs:
x = sum([float(x) for x in fitur[1:]])
sumx.append(x)
print sumx
改变了我
[7.0, 7.0, 4.0, 5.0, 4.0, 205.0, 67.5714, 2.0, 5.0, 3.0, 52.0, 2.0, 6.0]
错误发生在哪一行?self.fiturs中有什么?我刚刚更新了代码,出现了以下错误,self.fiturs是数据F1-F12@Mickneilly您的标识已关闭,任何类方法都应该在类内缩进…天哪,对不起,我不是焦点。顺便说一句,非常感谢@mickNeillNo问题。如果答案是正确的,请记下我的答案。