python3.7 openpyxl 在excel单元格中写入数据实例

# encoding:utf-8
import pandas as pd
import openpyxl
xl = pd.read_excel(r"E:\55\CRM经营分析表-10001741-1570416265044.xls")
xl.to_excel(r"E:\55\crms.xlsx")
wk = openpyxl.load_workbook(r"E:\55\crms.xlsx") #加载已经存在的excel
wk_name = wk.sheetnames
wk_sheet = wk[wk_name[0]]
 
wk_sheet.cell(row=2,column=2,value='大区') #在第二行，第二列下入“大区”数值
wk_sheet.cell(row=2,column=3,value='小区')
wk_sheet.cell(row=2,column=4,value='店铺编码')
wk_sheet.cell(row=2,column=5,value='店铺名称')
 
wk.save(r"E:\55\s.xlsx")

label = [[0],
     [1],
     [2],
     [3]
     ]
feature = [
      [0.1, 0.2, 0.3, 0.4, 0.5],
      [0.11, 0.21, 0.31, 0.41, 0.51],
      [0.6, 0.7, 0.8, 0.9, 1.00],
      [1.1, 1.2, 1.3, 1.4, 1.5],
      ]

# coding=utf-8
from openpyxl import Workbook
import numpy as np

wb = Workbook()

ws = wb.create_sheet("che")
label = [[0],
     [1],
     [2],
     [3]
     ]
feature = [
      [0.1, 0.2, 0.3, 0.4, 0.5],
      [0.11, 0.21, 0.31, 0.41, 0.51],
      [0.6, 0.7, 0.8, 0.9, 1.00],
      [1.1, 1.2, 1.3, 1.4, 1.5],
      ]
#这个地方之所以 变成numpy格式是因为在很多时候我们都是在numpy格式下计算的，模拟一下预处理
label = np.array(label)
feature = np.array(feature)

label_input = []
for l in range(len(label)):
  label_input.append(label[l][0])

ws.append(label_input)
for f in range(len(feature[0])):

  ws.append(feature[:, f].tolist())
wb.save("chehongshu.xlsx")

for col in range(len(label)):

  print col
  ws.insert_cols(col+1)

  for index, row in enumerate(ws.rows):
    #print row
    
     if index == 0:
      #row[col+1].value = label[col][0]
      print "label"
      print label[col]
    else:
      print "feature"
      print feature[col][index-1]
      #row[col+1].value = feature[col][index-1]

def create_data_expansion(path, sheet):
  data_init = pd.read_excel(path, sheet)
  # print data_init
  data_df = pd.DataFrame(data_init)
  print data_df
  data_df_transponse = data_df.T
  label_expansion = np.array(data_df_transponse.index)
  label_expansion_l = []
  for l in range(len(label_expansion)):
    label_expansion_l.append([l])
  feature_expansion = np.array(data_df_transponse)
  label_expansion = np.array(label_expansion_l)

  return label_expansion, feature_expansion

if __name__ == "__main__":
  path_name = "excel_demo.xlsx"
  sheet_name = "11"
  label, feature = create_data_expansion(path_name, sheet_name)
  print label
  print feature