自动化办公，我相信很多人都有强烈的需求，都希望从繁琐重复的劳动中挣脱出来，把精力用在有意义的事情上。
原文链接：《Python办公自动化｜10个方法，是时候对Excel下手了》。
现代办公室里几乎任何一项工作都会用到Excel、Word。在之前文章中我已分享过Python自动化操作word的文章《Python办公自动化｜只需三秒，一键生成数据分析报告》。
今天我教大家如何利用Python自动化操作Excel，包括：介绍操作Excel的工具包、安装方法及操作Excel具体方法。对于每天有大量重复性工作的同学来说，这款工具绝对是福利。
openpyxl是什么
openpyxl是一个Python库，用于读取/写入Excel xlsx / xlsm / xltx / xltm文件。它的诞生是因为缺少可从Python本地读取/写入Office Open XML格式的库。官方文档：http://yumos.gitee.io/openpyxl3.0
openpyxl安装
使用pip安装openpyxl。建议在不带系统软件包的Python virtualenv中执行此操作：
pip install openpyxl
支持流行的lxml库（如果已安装）。这在创建大文件时特别有用。
openpyxl操作指南
1、创建工作簿
from openpyxl import Workbook
wb = Workbook()
ws_00 = wb.active #默认不取名称
ws_00['A1']= 'Python学习与数据挖掘'
ws_01 = wb.create_sheet("new_sheet", 0) # 取一个new_sheet的名称
ws_01['A1']= 23
wb.save('/Users/***/Desktop/document.xlsx')
2、写工作簿
from openpyxl import Workbook
from openpyxl.utils import get_column_letter
wb = Workbook()
dest_filename = '/Users/****/Desktop/empty_book.xlsx'
ws1 = wb.active
ws1.title = "range names"
for row in range(1, 40):
ws1.append(range(600))
ws2 = wb.create_sheet(title="Pi")
ws2['F5'] = 3.14
ws3 = wb.create_sheet(title="Data")
for row in range(10, 20):
for col in range(27, 54):
_ = ws3.cell(column=col, row=row, value="{0}".format(get_column_letter(col)))
wb.save(filename = dest_filename)
插入动图
3、插入图片
from openpyxl import Workbook
from openpyxl.drawing.image import Image
wb = Workbook()
ws = wb.active
ws['A1'] = 'You should see three logos below'
img = Image('/Users/***/work/logo.png')
ws.add_image(img, 'A1')
wb.save('/Users/xx_zheng/***/document01.xlsx')
插入动图
4、删除行和列
删除列F:H
ws.delete_cols(6, 3)
5、将工作表转换为数据框
df = DataFrame(ws.values)
6、2D区域图
from openpyxl import Workbook
from openpyxl.chart import (
AreaChart,
Reference,
Series,
)
wb = Workbook()
ws = wb.active
rows = [
['Number', 'Batch 1', 'Batch 2'],
[2, 40, 30],
[3, 40, 25],
[4, 50, 30],
[5, 30, 10],
[6, 25, 5],
[7, 50, 10],
]
for row in rows:
ws.append(row)
chart = AreaChart()
chart.title = "Area Chart"
chart.style = 13
chart.x_axis.title = 'Test'
chart.y_axis.title = 'Percentage'
cats = Reference(ws, min_col=1, min_row=1, max_row=7)
data = Reference(ws, min_col=2, min_row=1, max_col=3, max_row=7)
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
ws.add_chart(chart, "A10")
wb.save("area.xlsx")
插入动图
6、雷达图
from openpyxl import Workbook
from openpyxl.chart import (
RadarChart,
Reference,
)
wb = Workbook()
ws = wb.active
rows = [
['Month', "Bulbs", "Seeds", "Flowers", "Trees & shrubs"],
['Jan', 0, 2500, 500, 0,],
['Feb', 0, 5500, 750, 1500],
['Mar', 0, 9000, 1500, 2500],
['Apr', 0, 6500, 2000, 4000],
['May', 0, 3500, 5500, 3500],
['Jun', 0, 0, 7500, 1500],
['Jul', 0, 0, 8500, 800],
['Aug', 1500, 0, 7000, 550],
['Sep', 5000, 0, 3500, 2500],
['Oct', 8500, 0, 2500, 6000],
['Nov', 3500, 0, 500, 5500],
['Dec', 500, 0, 100, 3000 ],
]
for row in rows:
ws.append(row)
chart = RadarChart()
chart.type = "filled"
labels = Reference(ws, min_col=1, min_row=2, max_row=13)
data = Reference(ws, min_col=2, max_col=5, min_row=1, max_row=13)
chart.add_data(data, titles_from_data=True)
chart.set_categories(labels)
chart.style = 26
chart.title = "Garden Centre Sales"
chart.y_axis.delete = True
ws.add_chart(chart, "A17")
wb.save("radar.xlsx")
插入动图
7、使用公式
此项功能非常有用，对于业务中需要批量处理的操作代码化后，可以达到事半功倍的效果。
from openpyxl import Workbook
from openpyxl import load_workbook
wb = load_workbook('/Users/***/work/document01.xlsx')
ws1=wb.active
ws1["F2"] = "=SUM(B2:E2)" # 使用公式
# Save the file
wb.save('/Users/***/Desktop/document01.xlsx')
8、给单元格设定字体颜色
# -*- coding: utf-8 -*-
from openpyxl import Workbook
from openpyxl.styles import colors
from openpyxl.styles import Font
wb = Workbook()
ws = wb.active
a1 = ws['A1']
d4 = ws['D4']
ft = Font(color=colors.RED) # color="FFBB00"，颜色编码也可以设定颜色
a1.font = ft
d4.font = ft
# If you want to change the color of a Font, you need to reassign it::
#italic 倾斜字体
a1.font = Font(color=colors.RED, italic=True) # the change only affects A1
a1.value = "abc"
# Save the file
wb.save("/Users/***/Desktop/document01.xlsx")
9、设定字体和大小
# -*- coding: utf-8 -*-
from openpyxl import Workbook
from openpyxl.styles import colors
from openpyxl.styles import Font
wb = Workbook()
ws = wb.active
a1 = ws['A1']
d4 = ws['D4']
a1.value = "abc"
from openpyxl.styles import Font
from copy import copy
ft1 = Font(name=u'宋体', size=14)
ft2 = copy(ft1) #复制字体对象
ft2.name = "Tahoma"
10、设定单元格的边框、字体、颜色、大小和边框背景色
# -*- coding: utf-8 -*-
from openpyxl import Workbook
from openpyxl.styles import Font
from openpyxl.styles import NamedStyle, Font, Border, Side,PatternFill
wb = Workbook()
ws = wb.active
highlight = NamedStyle(name="highlight")
highlight.font = Font(bold=True, size=20,color= "ff0100")
highlight.fill = PatternFill("solid", fgColor="DDDDDD")#背景填充
bd = Side(style='thick', color="000000")
highlight.border = Border(left=bd, top=bd, right=bd, bottom=bd)
print dir(ws["A1"])
ws["A1"].style =highlight
# Save the file
wb.save("/Users/***/Desktop/document01.xlsx")
推荐阅读
就是这么牛！三行Python代码，让数据处理速度提高2到6倍
方法论｜这才是一个完整版的渠道落地页数据分析案例！
Python绘图库，能做到极致简洁也只有这款了
8个好用到爆炸的Jupyter Notebook小技巧！
更多精彩内容，关注微信公众号『Python学习与数据挖掘』
为方便技术交流，本号开通了技术交流群，有问题请添加小助手微信号：connect_we，备注:加群来自，欢迎转载，收藏，码字不易，喜欢文章就点赞一下！谢啦
