读取数据

import pandas as pd

import collections

def readLocationCodeForExcel():

read_file = r"test.xlsx"

sheet_names = {"库位码","地堆码"}

sheet_data = pd.ExcelFile(read_file) #读取sheet数据

#sheet列表

read_sheet_data = sheet_data.sheet_names

#查看缺少的sheet

lack_set = sheet_names - set(read_sheet_data)

#初始化数组

read_code_array = np.array([])

row_col_array = np.array([])

region_array = np.array([])

if lack_set:

logger.info("缺少的sheet将不会查询:{}".format(lack_set))

sheet_names = sheet_names - lack_set

for sheet_name in sheet_names:

df = pd.read_excel(read_file,sheet_name=sheet_name,dtype=str)

if sheet_name in df.keys():

#print(type(df[sheet_name].values))

#read_code_list = read_code_list + list(df[sheet_name].values)

read_code_array = np.hstack((read_code_array,df[sheet_name].values))# 读取 地堆 列 水平组合 有点像字符组合 str1=str1+strx

row_col_array = np.hstack((row_col_array,df["位置"].values))

region_array = np.hstack((region_array,df["区域名称"].values))

return read_code_array, row_col_array,region_array

写入数据

import pandas as pd

import collections

def wirteInventoryDataToExcelTest(data):

write_file = "path_to_file.xlsx"

#data = (1,2,3)

df = pd.DataFrame(data)

writer = pd.ExcelWriter(write_file)

df.to_excel(writer,index=False,startrow=0) # index=False不写入序号

#df1.to_excel(writer)

writer.save()

#region_array2 等 为 np.array([....]) 数据 其中 region_array2[0] 存的是excel表头，前面数组同样

data_dict = collections.OrderedDict() #把字典变为有序字典 用于写入excel数据有顺序写入

data_dict[region_array2[0]] = np.delete(region_array2, 0)

data_dict[row_col_array2[0]] = np.delete(row_col_array2, 0)

data_dict[locationCode_array[0]] = np.delete(locationCode_array,0)

data_dict[identifyCode_array[0]] = np.delete(identifyCode_array, 0)

data_dict[p_qty_array[0]] = np.delete(p_qty_array, 0)

data_dict[unitName_array[0]] = np.delete(unitName_array, 0)

data_dict[p_name_array[0]] = np.delete(p_name_array, 0)

data_dict[sellAttributeValues_array[0]] = np.delete(sellAttributeValues_array, 0)

wirteInventoryDataToExcelTest(data_dict)