python清洗excel的資料還是很簡單的
這裡就列舉例子說一下
這是原始資料，這裡要處理的是地區和薪水兩個字段。
清洗前資料
import xlrd
import codecs
import re
def get_salary(salary):
# 利用正規表達式提取月薪，把待遇規範成千/月的形式
# 傳回最低工資，最高工資的形式
if '-' in salary: # 針對1-2萬/月或者10-20萬/年的情況，包含-
low_salary = re.findall(re.compile('(\d*\.?\d+)'), salary)[0]
high_salary = re.findall(re.compile('(\d?\.?\d+)'), salary)[1]
if u'萬' in salary and u'年' in salary: # 機關統一成千/月的形式
low_salary = float(low_salary) / 12 * 10
high_salary = float(high_salary) / 12 * 10
elif u'萬' in salary and u'月' in salary:
low_salary = float(low_salary) * 10
high_salary = float(high_salary) * 10
else: # 針對20萬以上/年和100元/天這種情況，不包含-，取最低工資，沒有最高工資
low_salary = re.findall(re.compile('(\d*\.?\d+)'), salary)[0]
high_salary = ""
if u'萬' in salary and u'年' in salary: # 機關統一成千/月的形式
low_salary = float(low_salary) / 12 * 10
elif u'萬' in salary and u'月' in salary:
low_salary = float(low_salary) * 10
elif u'元' in salary and u'天' in salary:
low_salary = float(low_salary) / 1000 * 21 # 每月工作日21天
return low_salary, high_salary
def open_xlsx(file):
# 加載Excel資料，獲得工作表和行數
data = xlrd.open_workbook(file) #讀取工作表名稱
table0 = data.sheet_by_name('51') #讀取 目前sheet表
nrows = table0.nrows # 擷取行數
return table0, nrows
def main():
table, nrows = open_xlsx('512.xlsx') # 調用打開excel的函數
print('一共有{}行資料，開始清洗資料'.format(nrows))
for i in range(1, nrows):
job = table.row_values(i)[0]
company = table.row_values(i)[1]
companytype = table.row_values(i)[2]
area = table.row_values(i)[3][:2] # 地區取到城市，把區域去掉
if area:
area_list.append(area)
experience = table.row_values(i)[4]
degree = table.row_values(i)[5]
salary = table.row_values(i)[6]
if salary: # 如果待遇這欄不為空，計算最低最高待遇
getsalary = get_salary(salary)
low_salary = getsalary[0]
high_salary = getsalary[1]
else:
low_salary = high_salary = ""
print('正在寫入第{}條，最低工資是{}k,最高工資是{}k'.format(i, low_salary, high_salary))
output = ('{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}\n').format(job, company, companytype, area,
experience,degree, low_salary, high_salary
)
f = codecs.open('51jobanaly.xls', 'a+')
f.write(output)
f.close()
if __name__ == '__main__':
main()
主要把薪資處理成以千/月為機關。保留城市。
處理後的資料：
處理後的資料