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openpyxl最好用的python操作excel表格库,不接受反驳;
openpyxl官网链接:openpyxl官网
openpyxl只支持【.xlsx / .xlsm / .xltx / .xltm】格式的文件;
这里需要大家仔细查看图中的每一项内容,知道什么是“行(row)、列(column)”?什么是“格子(cell)”?什么是“sheet表”?
- from openpyxl import load_workbook
- workbook = load_workbook(filename = "test.xlsx")
- workbook.sheetnames
结果如下:
- from openpyxl import load_workbook
- workbook = load_workbook(filename = "test.xlsx")
- workbook.sheetnames
- sheet = workbook["Sheet1"]
- print(sheet)
结果如下:
这里所说的尺寸大小,指的是excel表格中的数据有几行几列,针对的是不同的sheet而言。
sheet.dimensions
结果如下:
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- cell1 = sheet["A1"]
- cell2 = sheet["C11"]
- print(cell1.value, cell2.value)
-
-
- """
- workbook.active 打开激活的表格;
- sheet["A1"] 获取A1格子的数据;
- cell.value 获取格子中的值;
- """
结果如下:
这种方式更简单,大家可以对比这两种方式;
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- cell1 = sheet.cell(row = 1,column = 1)
- cell2 = sheet.cell(row = 11,column = 3)
- print(cell1.value, cell2.value)
结果如下:
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- cell1 = sheet["A1"]
- cell2 = sheet["C11"]
- print(cell1.value, cell1.row, cell1.column, cell1.coordinate)
- print(cell2.value, cell2.row, cell2.column, cell2.coordinate)
- """
- .row 获取某个格子的行数;
- .columns 获取某个格子的列数;
- .corordinate 获取某个格子的坐标;
- """
结果如下:
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- # 获取A1:C2区域的值
- cell = sheet["A1:C2"]
- print(cell)
- for i in cell:
- for j in i:
- print(j.value)
结果如下:特别的:如果我们只想获取“A列”,或者获取“A-C列”,可以采取如下方式:
- sheet["A"] --- 获取A列的数据
- sheet["A:C"] --- 获取A,B,C三列的数据
- sheet[5] --- 只获取第5行的数据
当然有.iter_rows()方式,肯定也会有.iter_cols()方式,只不过一个是按行读取,一个是按列读取。
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- # 按行获取值
- for i in sheet.iter_rows(min_row=2, max_row=5, min_col=1, max_col=2):
- for j in i:
- print(j.value)
- # 按列获取值
- for i in sheet.iter_cols(min_row=2, max_row=5, min_col=1, max_col=2):
- for j in i:
- print(j.value)
结果如下:
帮助我们获取所有行
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- for i in sheet.rows:
- print(i)
结果如下:
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet["A1"] = "哈喽" # 这句代码也可以改为cell = sheet["A1"] cell.value = "哈喽"
- workbook.save(filename = "哈喽.xlsx")
- """
- 注意:我们将“A1”单元格的数据改为了“哈喽”,并另存为了“哈喽.xlsx”文件。
- 如果我们保存的时候,不修改表名,相当于直接修改源文件;
- """
结果如下:
.append()方式:会在表格已有的数据后面,增添这些数(按行插入);
这个操作很有用,爬虫得到的数据,可以使用该方式保存成Excel文件;
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- data = [
- ["唐僧","男","180cm"],
- ["孙悟空","男","188cm"],
- ["猪八戒","男","175cm"],
- ["沙僧","男","176cm"],
- ]
- for row in data:
- sheet.append(row)
- workbook.save(filename = "test.xlsx")
结果如下:
- # 这是我们在excel中输入的公式
- =IF(RIGHT(C2,2)="cm",C2,SUBSTITUTE(C2,"m","")*100&"cm")
- # 那么,在python中怎么插入excel公式呢?
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet["D1"] = "标准身高"
- for i in range(2,16):
- sheet["D{}".format(i)] = '=IF(RIGHT(C{},2)="cm",C{},SUBSTITUTE(C{},"m","")*100&"cm")'.format(i,i,i)
- workbook.save(filename = "test.xlsx")
结果如下:此时,你肯定会好奇,python究竟支持写哪些“excel函数公式”呢?我们可以使用如下操作查看一下。
- import openpyxl
- from openpyxl.utils import FORMULAE
- print(FORMULAE)
结果如下:
.insert_cols(idx=数字编号, amount=要插入的列数),插入的位置是在idx列数的左侧插入;
.insert_rows(idx=数字编号, amount=要插入的行数),插入的行数是在idx行数的下方插入;
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet.insert_cols(idx=4,amount=2)
- sheet.insert_rows(idx=5,amount=4)
- workbook.save(filename = "test.xlsx")
结果如下:
.delete_rows(idx=数字编号, amount=要删除的行数)
.delete_cols(idx=数字编号, amount=要删除的列数)
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- # 删除第一列,第一行
- sheet.delete_cols(idx=1)
- sheet.delete_rows(idx=1)
- workbook.save(filename = "test.xlsx")
结果如下:
.move_range("数据区域",rows=,cols=):正整数为向下或向右、负整数为向左或向上;
- # 向左移动两列,向下移动两行
- sheet.move_range("C1:D4",rows=2,cols=-1)
演示效果如下:
.create_sheet("新的sheet名"):创建一个新的sheet表;
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(sheet)
- workbook.create_sheet("我是一个新的sheet")
- print(workbook.sheetnames)
- workbook.save(filename = "test.xlsx")
结果如下:
.remove("sheet名"):删除某个sheet表;
- workbook = load_workbook(filename = "test.xlsx")
- sheet = workbook.active
- print(workbook.sheetnames)
- # 这个相当于激活的这个sheet表,激活状态下,才可以操作;
- sheet = workbook['我是一个新的sheet']
- print(sheet)
- workbook.remove(sheet)
- print(workbook.sheetnames)
- workbook.save(filename = "test.xlsx")
结果如下:
这个操作的实质,就是复制某个excel表中的sheet表,然后将文件存储到另外一张excel表中;
- workbook = load_workbook(filename = "a.xlsx")
- sheet = workbook.active
- print("a.xlsx中有这几个sheet表",workbook.sheetnames)
- sheet = workbook['姓名']
- workbook.copy_worksheet(sheet)
- workbook.save(filename = "test.xlsx")
结果如下:
.title = "新的sheet表名"
- workbook = load_workbook(filename = "a.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet.title = "我是修改后的sheet名"
- print(sheet)
结果如下:
- from openpyxl import Workbook
-
-
- workbook = Workbook()
- sheet = workbook.active
- sheet.title = "表格1"
- workbook.save(filename = "新建的excel表格")
结果如下:
.freeze_panes = "单元格"
- workbook = load_workbook(filename = "花园.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet.freeze_panes = "C3"
- workbook.save(filename = "花园.xlsx")
- """
- 冻结窗口以后,你可以打开源文件,进行检验;
- """
结果如下:
.auto_filter.ref = sheet.dimension 给所有字段添加筛选器;
.auto_filter.ref = "A1" 给A1这个格子添加“筛选器”,就是给第一列添加“筛选器”;
- workbook = load_workbook(filename = "花园.xlsx")
- sheet = workbook.active
- print(sheet)
- sheet.auto_filter.ref = sheet["A1"]
- workbook.save(filename = "花园.xlsx")
结果如下:
Font(name=字体名称,size=字体大小,bold=是否加粗,italic=是否斜体,color=字体颜色)
- from openpyxl.styles import Font
- from openpyxl import load_workbook
-
-
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- cell = sheet["A1"]
- font = Font(name="微软雅黑",size=20,bold=True,italic=True,color="FF0000")
- cell.font = font
- workbook.save(filename = "花园.xlsx")
- """
- 这个color是RGB的16进制表示,自己下去百度学习;
- """
结果如下:
- from openpyxl.styles import Font
- from openpyxl import load_workbook
-
-
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- cell = sheet["A2"]
- font = cell.font
- print(font.name, font.size, font.bold, font.italic, font.color)
结果如下:
Alignment(horizontal=水平对齐模式,vertical=垂直对齐模式,text_rotation=旋转角度,wrap_text=是否自动换行)
水平对齐:‘distributed',‘justify',‘center',‘leftfill', ‘centerContinuous',‘right,‘general';
垂直对齐:‘bottom',‘distributed',‘justify',‘center',‘top';
- from openpyxl.styles import Alignment
- from openpyxl import load_workbook
-
-
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- cell = sheet["A1"]
- alignment = Alignment(horizontal="center",vertical="center",text_rotation=45,wrap_text=True)
- cell.alignment = alignment
- workbook.save(filename = "花园.xlsx")
结果如下:
Side(style=边线样式,color=边线颜色)
Border(left=左边线样式,right=右边线样式,top=上边线样式,bottom=下边线样式)
style参数的种类:'double, 'mediumDashDotDot', 'slantDashDot','dashDotDot','dotted','hair', 'mediumDashed, 'dashed', 'dashDot', 'thin','mediumDashDot','medium', 'thick'from openpyxl.styles import Side,Borderfrom
- openpyxl import load_workbook
-
-
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- cell = sheet["D6"]
- side1 = Side(style="thin",color="FF0000")
- side2 = Side(style="thick",color="FFFF0000")
- border = Border(left=side1,right=side1,top=side2,bottom=side2)
- cell.border = border
- workbook.save(filename = "花园.xlsx")
结果如下:
PatternFill(fill_type=填充样式,fgColor=填充颜色)
GradientFill(stop=(渐变颜色1,渐变颜色2……))
- from openpyxl.styles import PatternFill,GradientFill
- from openpyxl import load_workbook
-
-
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- cell_b9 = sheet["B9"]
- pattern_fill = PatternFill(fill_type="solid",fgColor="99ccff")
- cell_b9.fill = pattern_fill
- cell_b10 = sheet["B10"]
- gradient_fill = GradientFill(stop=("FFFFFF","99ccff","000000"))
- cell_b10.fill = gradient_fill
- workbook.save(filename = "花园.xlsx")
结果如下:
.row_dimensions[行编号].height = 行高
.column_dimensions[列编号].width = 列宽
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- # 设置第1行的高度
- sheet.row_dimensions[1].height = 50
- # 设置B列的宽度
- sheet.column_dimensions["B"].width = 20
- workbook.save(filename = "花园.xlsx")
- """
- sheet.row_dimensions.height = 50
- sheet.column_dimensions.width = 30
- 这两句代码,是将整个表的行高设置为50,列宽设置为30;
- """
结果如下:
.merge_cells(待合并的格子编号)
.merge_cells(start_row=起始行号,start_column=起始列号,end_row=结束行号,end_column=结束列号)
- workbook = load_workbook(filename="花园.xlsx")
- sheet = workbook.active
- sheet.merge_cells("C1:D2")
- sheet.merge_cells(start_row=7,start_column=1,end_row=8,end_column=3)
- workbook.save(filename = "花园.xlsx")
结果如下:当然,也有“取消合并单元格”,用法一致。
.unmerge_cells(待合并的格子编号)
.unmerge_cells(start_row=起始行号,start_column=起始列号,end_row=结束行号,end_column=结束列号)
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