Question

在“ data_last”文件夹中，有三个excel文件，分别显示位置，日期，温度，风速，湿度。使用这些数据，我想通过使用类来制作每个平均，标准，最大，最小prgram。但是错误。。。

 File "C:/Users/whgoa/PycharmProjects/PythonStudy/assign_last.py", line 76, in <module>
    weath[name] = Grade(open(data_path+name+'.csv','r'))
  File "C:/Users/whgoa/PycharmProjects/PythonStudy/assign_last.py", line 22, in __init__
    self.dt1 = self.dt1.append(self.dt[2])[1:]
TypeError: 'NoneType' object is not subscriptable

我认为我的代码中有很多错误请告诉我哪里错了

import os

data_path = os.getcwd()+'\\data_last\\'
print(data_path)

class Data:
    def __init__(self, file):
        self.file = file.readlines()
        self.dt1, self.dt2, self.dt3 = [], [], []
        for i in range(len(self.file)):
            self.dt = self.file[i].split(',')
            self.dt1 = self.dt1.append(self.dt[2])[1:]
            self.dt1 = [float(i) for i in self.dt1]
            self.dt2 = self.dt2.append(self.dt[3])[1:]
            self.dt2 = [float(i) for i in self.dt2]
            self.dt3 = self.dt3.append(self.dt[4])[1:]
            self.dt3 = [float(i) for i in self.dt3]

class inputError(Exception):
    pass

class Grade(Data):
    def avg(self, subject):
        if subject == 'dt1':
            return sum(self.dt1)/len(self.dt1)
        elif subject == 'dt2':
            return sum(self.dt2)/len(self.dt2)
        elif subject == 'dt3':
            return sum(self.dt3)/len(self.dt3)
        else:
            raise inputError()
    def std(self, subject):
        if subject == 'dt1':
            return (sum([i**2 for i in self.dt1])/len(self.dt1) - self.avg('dt1')**2)**0.5
        elif subject == 'dt2':
            return (sum([i**2 for i in self.dt2])/len(self.dt2) - self.avg('dt2')**2)**0.5
        elif subject == 'dt3':
            return (sum([i**2 for i in self.dt3])/len(self.dt3) - self.avg('dt3')**2)**0.5
        else:
            raise inputError()
    def maximum(self, subject):
        if subject == 'dt1':
            return max(self.dt1)
        elif subject == 'dt2':
            return max(self.dt2)
        elif subject == 'dt3':
            return max(self.dt3)
        else:
            raise inputError
    def minimum(self, subject):
        if subject == 'dt1':
            return min(self.dt1)
        elif subject == 'dt2':
            return min(self.dt2)
        elif subject == 'math':
            return min(self.dt3)
        else:
            raise inputError

weath = dict()

for i in range(2019,2020):
    for j in range(5,6):
        for k in range(24,27):
            name = str(i)+'_'+str(j)+'_'+str(k)
            weath[name] = Grade(open(data_path+name+'.csv','r'))

for i in range(2019,2020):
    for j in range(5,6):
        for k in range(24,27):
            name = str(i)+'_'+str(j)+'_'+str(k)
            print('{0}year {1}month {2}day temp avg: {3}, std : {4}, max : {5}, min : {6}\n'.format(i, j, k, weath[name].avg('dt1'), weath[name].std('dt1'), weath[name].maximum('dt1'), weath[name].minimum('dt1')))
            print('{0}year {1}month {2}day temp avg: {3}, std : {4}, max : {5}, min : {6}\n'.format(i, j, k, weath[name].avg('dt2'), weath[name].std('dt2'), weath[name].maximum('dt2'), weath[name].minimum('dt2')))
            print('{0}year {1}month {2}day temp avg: {3}, std : {4}, max : {5}, min : {6}\n'.format(i, j, k, weath[name].avg('dt3'), weath[name].std('dt3'), weath[name].maximum('dt3'), weath[name].minimum('dt3')))
        print('\n')
    print('\n')

Answer 1

错误是因为您尝试在方法上使用下标：

self.dt1 = self.dt1.append（self.dt [2]）[1：]

.append（）

是用于列表的方法，除非方法返回了值，否则不能对它使用切片。

我仍然不明白为什么附加后需要使用切片，但是如果您提供详细信息，也许我可以提供解决方法。

P.S。注意：除非这是唯一需要完成的方法，否则我建议使用Pandas库执行此任务，您可以从excel文件中高效提取数据，并且只需几行代码即可找到统计量。

从Excel文件制作Python程序

1 个答案: