处理csv数据
通过csv.DictReader实现 示例代码

#读取csv文件
import csv
with open('name.csv') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
#循环打印数据的id和class值,此循环执行7次
print(row['id'],row['class'])
1 2
3 4
#写入csv文件
import csv
datas = [[1,2],[3,4]]
with open('name.csv','w') as csvfile:
writer = csv.DictWriter(csvfile,fieldnames=['id','class'])
#写入列标题,即DictWriter构造方法的fieldnames参数
writer.writeheader()
for data in datas:
writer.writerow({'id':data[0],'class':data[1]})
处理xlsx数据
使用openpyxl包处理xlsx文件
Excel文件有三层对象:工作薄、工作表和单元格,分别对应openpyxl包中的workbook、sheet和cell。

import openpyxl
class HandExcel:
def load_excel(self):
'''
加载excel
'''
open_excel = openpyxl.load_workbook("test.xlsx")
return open_excel
def get_sheet_data(self,index=None):
'''
加载所有sheet的内容
'''
sheet_name = self.load_excel().sheetnames
if index == None:
index = 0
data = self.load_excel()[sheet_name[index]]
return data
def get_cell_value(self,row,cols):
'''
获取某一个单元格内容
'''
data = self.get_sheet_data().cell(row=row,column=cols).value
return data
def get_rows(self):
'''
获取行数
'''
row = self.get_sheet_data().max_row
return row
def get_rows_value(self,row):
'''
获取某一行的内容
'''
row_list = []
for i in self.get_sheet_data()[row]:
row_list.append(i.value)
return row_list
def excel_write_data(self,row,cols,value):
'''
写入数据
'''
wb = self.load_excel()
wr = wb.active
wr.cell(row,cols,value)
wb.save("test.xlsx")
def get_columns_value(self,key=None):
'''
获取某一列得数据
'''
columns_list = []
if key==None:
key = 'A'
columns_list_data = self.get_sheet_data()[key]
for i in columns_list_data:
columns_list.append(i.value)
return columns_list
def get_rows_number(self,case_id):
'''
获取行号
'''
num = 1
cols_data = self.get_columns_value()
for col_data in cols_data:
if case_id == col_data:
return num
num = num+1
return num
def get_excel_data(self):
'''
获取excel里面所有的数据
'''
data_list = []
for i in range(self.get_rows()):
data_list.append(self.get_rows_value(i+2))
return data_list
excel_data = HandExcel()
if __name__ == "__main__":
handle = HandExcel()
print(handle.get_excel_data())
打印结果
[[1, 2], [3, 4], [None, None]]