1.安装

pip install openpyxl

2.使用方法

2.1 给单元格和行赋值

from openpyxl importWorkbook

wb=Workbook()#获取第一个活动的sheet,默认创建excel会有一个sheet

ws =wb.active#单元格直接赋值

ws['A1'] = 42

#按行赋值

ws.append([1,2,3])importdatetime

ws['A2'] =datetime.datetime.now()

wb.save("1.xlsx")

2.2 创建sheet

from openpyxl importWorkbook

wb=Workbook()#在末尾插入

ws1 = wb.create_sheet("Mysheet")

ws1.title= "New Title"

#在开始插入

ws2 = wb.create_sheet("Mysheet", 0)

ws2.title="你好"

#在倒数第二个位置插入

ws3= wb.create_sheet("Mysheet", -1)

ws3.title="third"ws1.sheet_properties.tabColor= "1072BA"

for sheet inwb:print(sheet.title)

wb.save("create_sheet.xlsx")

2.3 操作单元格

from openpyxl importWorkbook

wb=Workbook()

ws1=wb.create_sheet("Mysheet")

ws1["A1"]=124.45ws1["B2"]="您好"

#为第四行第二列也就是B4赋值10

d=ws1.cell(row=4, column=2, value=10)

wb.save("cell.xlsx")

2.4 批量操作单元格

from openpyxl importWorkbook

wb=Workbook()

ws=wb.activefor row in ws.iter_rows(min_row=1, max_col=3, max_row=2):for cell inrow:

cell.value="test"

print(cell)for col in ws.iter_rows(min_row=3, max_col=3, max_row=4):for cell incol:

cell.value="hello"

print(cell)

ws['c9']='hello world'tuple(ws.rows)

wb.save("batchcell.xlsx")

执行完之后，会在A1,B1,C1,A2,B2,C2赋值test，在A3,B3,C3,A4,B4,C4赋值hello

2.5 操作已经存在的Excel

#-*- coding: utf-8 -*-

from openpyxl importWorkbookfrom openpyxl importload_workbook

wb= load_workbook('sample.xlsx')

wb.guess_types= True #猜测格式类型

ws=wb.active

ws["D1"]="12%"

#Save the file

wb.save("sample.xlsx")

2.6 使用公式

from openpyxl importWorkbookfrom openpyxl importload_workbook

wb= load_workbook("sample.xlsx")

ws1=wb.active

ws1["A1"] = 1ws1["A2"] = 2ws1["A3"] = 3ws1["A4"] = "=SUM(1,1)"ws1["A5"] = "=SUM(A1:A3)"wb.save("sample.xlsx")

2.7 合并单元格

from openpyxl importWorkbookfrom openpyxl importload_workbook

wb= load_workbook("sample.xlsx")

ws1=wb.active

ws1.merge_cells("A2:D2")#ws1.unmerge_cells("A2:D2")

ws1.merge_cells(start_row=2,start_column=1,end_row=2,end_column=4)#ws1.unmerge_cells(start_row=2,start_column=1,end_row=2,end_column=4)

wb.save("sample.xlsx")

2.8 插入图片

from openpyxl importload_workbookfrom openpyxl.drawing.image importImage

wb= load_workbook("sample.xlsx")

ws1=wb.active

img= Image("jielun.png")

ws1.add_image(img,'A1')

wb.save("sample.xlsx")

2.9 隐藏单元格

from openpyxl importload_workbookfrom openpyxl.drawing.image importImage

wb= load_workbook("sample.xlsx")

ws1=wb.active

ws1.column_dimensions.group('A', 'D', hidden=True)

wb.save("sample.xlsx")

2.10  画柱状图

from openpyxl importload_workbookfrom openpyxl importWorkbookfrom openpyxl.chart importBarChart,Reference,Series

wb=Workbook()

ws=wb.activefor i in range(10):

ws.append([i])

values= Reference(ws, min_col=1, min_row=1, max_col=1, max_row=10)

chart=BarChart()

chart.add_data(values)

ws.add_chart(chart,"E15")

wb.save("sample.xlsx")

2.11 画饼状图

#-*- coding: utf-8 -*-

from openpyxl importload_workbookfrom openpyxl importWorkbookfrom openpyxl.chart import(PieChart , ProjectedPieChart, Reference)from openpyxl.chart.series importDataPoint

data=[

['Pie', 'Sold'],

['Apple', 50],

['Cherry', 30],

['Pumpkin', 10],

['Chocolate', 40],

]

wb=Workbook()

ws=wb.activefor row indata:

ws.append(row)

pie=PieChart()

labels= Reference(ws, min_col=1, min_row=2, max_row=5)

data= Reference(ws, min_col=2, min_row=1, max_row=5)

pie.add_data(data, titles_from_data=True)

pie.set_categories(labels)

pie.title= "Pies sold by category"

#Cut the first slice out of the pie

slice = DataPoint(idx=0, explosion=20)

pie.series[0].data_points=[slice]

ws.add_chart(pie,"D1")

ws= wb.create_sheet(title="Projection")

data=[

['Page', 'Views'],

['Search', 95],

['Products', 4],

['Offers', 0.5],

['Sales', 0.5],

]for row indata:

ws.append(row)

projected_pie=ProjectedPieChart()

projected_pie.type= "pie"projected_pie.splitType= "val" #split by value

labels = Reference(ws, min_col=1, min_row=2, max_row=5)

data= Reference(ws, min_col=2, min_row=1, max_row=5)

projected_pie.add_data(data, titles_from_data=True)

projected_pie.set_categories(labels)

ws.add_chart(projected_pie,"A10")from copy importdeepcopy

projected_bar=deepcopy(projected_pie)

projected_bar.type= "bar"projected_bar.splitType= 'pos' #split by position

ws.add_chart(projected_bar,"A27")#Save the file

wb.save("sample.xlsx")

2.12 表格

from openpyxl.worksheet.table importTable, TableStyleInfo

wb=Workbook()

ws=wb.active

data=[

['Apples', 10000, 5000, 8000, 6000],

['Pears', 2000, 3000, 4000, 5000],

['Bananas', 6000, 6000, 6500, 6000],

['Oranges', 500, 300, 200, 700],

]#add column headings. NB. these must be strings

ws.append(["Fruit", "2011", "2012", "2013", "2014"])for row indata:

ws.append(row)

tab= Table(displayName="Table1", ref="A1:E5")#Add a default style with striped rows and banded columns

style = TableStyleInfo(name="TableStyleMedium9", showFirstColumn=True,

showLastColumn=True, showRowStripes=True, showColumnStripes=True)#第一列是否和样式第一行颜色一行，第二列是否···#是否隔行换色，是否隔列换色

tab.tableStyleInfo =style

ws.add_table(tab)#Save the file

wb.save("sample.xlsx")

2.13  字体

#-*- coding: utf-8 -*-

from openpyxl importWorkbookfrom openpyxl.styles importFont

wb=Workbook()

ws=wb.active

ws["A1"] = "测试"ws["A2"] = "字体"col= ws.column_dimensions['A']

col.font= Font(bold=True) #将A列设定为粗体

row = ws.row_dimensions[1]

row.font= Font(underline="single") #将第一行设定为下划线格式

#Save the file

wb.save("sample.xlsx")

3.使用爬虫爬取贝壳网二手房的信息并存入到excel

importsysfrom os importpathimporttimeimporturllib3importrequestsimportnumpy as npfrom bs4 importBeautifulSoupfrom urllib importparsefrom openpyxl importWorkbookfrom openpyxl importload_workbook

headers=[{'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'},\

{'User-Agent':'Mozilla/5.0 (Windows NT 6.2) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.12 Safari/535.11'},\

{'User-Agent': 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Trident/6.0)'}]defget_house():

page_num=0;

total_num=0;

wb=Workbook()

ws= wb.create_sheet("housesheet")

ws.append(["title","tall","year","house","area","direction", "tag","totalPrice", "unitPrice"])while(1):

page_num+=1url= "https://bj.ke.com/ershoufang/pg"+str(page_num)+"/"

print(url)

http=urllib3.PoolManager()

time.sleep(np.random.rand()*5)try:

r= http.request("GET", url, headers=headers[page_num%len(headers)])

plain_text=r.data.decode()print(plain_text)exceptException as e:print(e)continuesoup= BeautifulSoup(plain_text, features="lxml")

ligroup= soup.find_all("li", class_="clear")for item inligroup:try:

title= item.find("div", class_="title").a.get("title")

content= item.find("div", class_="houseInfo").get_text()

contents= content.strip().split("|")

tall= contents[0].strip().replace("\n","")

year= contents[1].strip()

house= contents[2].strip().replace("\n", "")

area= contents[3].strip().replace("\n", "")

direction= contents[4].strip()

tag= item.find("div", class_="tag").find("span").get_text()

totalPrice= item.find("div", class_="totalPrice").get_text()

unitPrice= item.find("div", class_="unitPrice").get_text().strip().replace("\n", "")

ws.append([title, tall,year,house,area,direction,tag,totalPrice,unitPrice])exceptException as e:print(e)continue

if page_num > 20:breakwb.save("hosuebeike.xlsx")if __name__=='__main__':

get_house()

跑完之后，在当前目录下会有一个excel文件，打开看一下，部分截图如下：