openpyxl 解析电子表格（.xlsx）数据,末尾增加一行，且保留原格式

 openpyxl 添加数据的时候不需要复制表格，这点尤为方便。

 下面是在表格末尾添加数据，由于添加的数据已没有原本的单元格样式，所以需要设置他的单元格样式与上文保持一致。

 pandas 如何获取所需数据的索引（判断条件可以改变，结果为列表）

import openpyxl
from openpyxl.styles import PatternFill, Alignment
import pandas as pd


# 更改写入数据的样式，与已有数据样式保持一致
# line为行数
def style(line):
    # 数据格式
    # tm = ws['H2'].number_format
    # print(tm)
    # 背景颜色
    fl = PatternFill("solid", fgColor='fde9d9')
    # 水平居右
    al = Alignment(horizontal='right',)
    ws['A{}'.format(line)].alignment = al
    ws['A{}'.format(line)].number_format = ws['A2'].number_format
    ws['B{}'.format(line)].number_format = ws['B2'].number_format
    ws['C{}'.format(line)].fill = fl
    ws['C{}'.format(line)].number_format = ws['C2'].number_format
    ws['D{}'.format(line)].number_format = ws['D2'].number_format
    ws['E{}'.format(line)].fill = fl
    ws['E{}'.format(line)].number_format = ws['E2'].number_format
    ws['F{}'.format(line)].number_format = ws['F2'].number_format
    ws['G{}'.format(line)].number_format = ws['G2'].number_format
    ws['H{}'.format(line)].fill = fl
    ws['H{}'.format(line)].number_format = ws['H2'].number_format
    ws['I{}'.format(line)].number_format = ws['I2'].number_format
    ws['J{}'.format(line)].number_format = ws['J2'].number_format
    ws['K{}'.format(line)].number_format = ws['K2'].number_format
    ws['L{}'.format(line)].number_format = ws['L2'].number_format
    ws['M{}'.format(line)].number_format = ws['M2'].number_format
    ws['N{}'.format(line)].number_format = ws['N2'].number_format
    ws['O{}'.format(line)].number_format = ws['O2'].number_format
    ws['P{}'.format(line)].number_format = ws['P2'].number_format
    ws['Q{}'.format(line)].number_format = ws['Q2'].number_format
    ws['R{}'.format(line)].number_format = ws['R2'].number_format
    ws['S{}'.format(line)].number_format = ws['S2'].number_format

# 使用pandas解析表格数据 取出所需数据（date = dpos[n-1]['日期']）进行计算
df = pd.read_excel(file_path_1, 'Sheet1')
dpos.update(df.to_dict(orient="index"))
n = len(dpos)

# 可以求得所需数据的索引
# df[df['日期'] == '2018-10-10'].index[0]

# 使用openpyxl解析表格  在最后插入当天的数据
wb = openpyxl.load_workbook(file_path_1)
ws = wb['Sheet1']
# 在末尾添加一行数据
ws.append([A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S])
line = n+2
style(line)
wb.save(file_path_1)


# 修改数据,直接修改即可
# ws['A6'] = 'china'