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- import pandas as pd
- import openpyxl as ox
- from itertools import groupby
- import os
- class ExcelUtil:
- # 当前项目路径
- dir_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + r'\resources'
- """
- 解析excel文件
- """
- def __init__(self, sheet_name=None, path=None):
- if path:
- self.path = path
- else:
- self.path = os.path.join(self.dir_path, 'mvp.xlsx')
- if sheet_name:
- self.sheet_name = sheet_name
- else:
- self.sheet_name = '硬标签+行为'
- def read_excel_by_pd(self):
- df = pd.read_excel(self.path)
- data = df.head()
- print('获取到的数据{}'.format(data))
- def read_excel_by_ox(self):
- work_book = ox.load_workbook(self.path, data_only=True)
- work_sheet = work_book.get_sheet_by_name(self.sheet_name)
- # print('max_row:{}, max_col:{}'.format(work_sheet.max_row, work_sheet.max_column))
- return work_sheet
- def init_crowd_info(self):
- """
- 整理不同人群包含的父选序号
- :return:
- """
- rows = [row for row in self.read_excel_by_ox().rows]
- crowd_a = []
- crowd_b = []
- crowd_c = []
- crowd_d = []
- crowd_e = []
- crowd_f = []
- for row in rows[2:]:
- option = row[4].value
- a = row[6].value
- if a is not None and a == 1 and option not in crowd_a:
- crowd_a.append(option)
- b = row[7].value
- if b is not None and b == 1 and option not in crowd_b:
- crowd_b.append(option)
- c = row[8].value
- if c is not None and c == 1 and option not in crowd_d:
- crowd_c.append(option)
- d = row[9].value
- if d is not None and d == 1 and option not in crowd_d:
- crowd_d.append(option)
- e = row[10].value
- if e is not None and e == 1 and option not in crowd_e:
- crowd_e.append(option)
- f = row[11].value
- if f is not None and f == 1 and option not in crowd_f:
- crowd_f.append(option)
- return {'A': crowd_a, 'B': crowd_b, 'C': crowd_c, 'D': crowd_d, 'E': crowd_e, 'F': crowd_f}
- def init_mvp_data(self):
- """
- 获取每个标签包括的父题父选项编号
- :return:
- """
- rows = [row for row in self.read_excel_by_ox().rows][24:]
- tag_name = None
- datas = []
- for row in rows:
- tag = row[1].value
- values = row[3].value
- corr = row[4].value
- if tag:
- tag_name = tag
- if values is not None:
- datas.append([tag_name, values, corr])
- result = {}
- for name, items in groupby(datas, key=lambda obj: obj[0]):
- orders = []
- for n in items:
- orders.append([n[1], n[2]])
- result[name] = orders
- return result
- if __name__ == '__main__':
- # eu = ExcelUtil()
- # results = eu.init_mvp_data()
- # for key in results.keys():
- # print(key)
- # print(' {}'.format(results[key]))
- # print('-'*40)
- import os
- dir_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
- print(dir_path)
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