python-excel自动化-openpyxl

openpyxl学习笔记

创建或打开表格
存储和遍历数据
设置单元格风格
过滤器和排序
更改工作表的背景颜色
合并单元格
冻结窗口
数字格式
公式
图像
图表
- 条形图
- 折线图
- 散点图

创建或打开表格

python"># 创建
import datetime 
from  openpyxl import  Workbook 
# 实例化
wb = Workbook()
# 激活 worksheet
ws = wb.active# 打开已有
# from openpyxl  import load_workbook
# wb2 = load_workbook('文件名称.xlsx')

存储和遍历数据

python"># 存储数据
# 方式一：数据可以直接分配到单元格中(可以输入公式)
ws['A1'] = 42
# 方式二：可以附加行，从第一列开始附加(从最下方空白处，最左开始)(可以输入多行)
ws.append([1, 2, 3])
# 方式三：Python 类型会被自动转换
ws['A3'] = datetime.datetime.now().strftime("%Y-%m-%d")# 创建表
ws1 = wb.create_sheet("Mysheet1")
ws2 = wb.create_sheet("Mysheet2", 0)
# 选择表
# sheet 名称可以作为 key 进行索引
ws3 = wb["Mysheet1"]
ws4 = wb.get_sheet_by_name("Mysheet1")
wb.remove_sheet(ws4)# 删除指定sheet
ws3 is ws4# 显示所有表名
print(wb.sheetnames)# 遍历所有表
for sheet in  wb:print(sheet.title)# 访问单元格（call）
# 1.单一单元格访问
# 方法一
c = ws['A4']
# 方法二：row 行；column 列
d = ws.cell(row=4, column=2, value=10)
# 方法三：只要访问就创建
for i in  range(1,101):for j in range(1,101):ws.cell(row=i, column=j)# 2.多单元格访问
# 通过切片
cell_range = ws['A1':'C2']
# 通过行(列)
colC = ws['C']
col_range = ws['C:D']
row10 = ws[10]
row_range = ws[5:10]
# 通过指定范围(行 → 行) 遍历行
for row in  ws.iter_rows(min_row=1, max_col=3, max_row=2):for cell in  row:print(cell)# 通过指定范围(列 → 列) 遍历列
for row in  ws.iter_cols(min_row=1, max_col=3, max_row=2):for cell in  row:print(cell)# 遍历所有 方法一
ws = wb.active
ws['C9'] = 'hello world'
tuple(ws.rows)# ((<Cell 'Mysheet2'.A1>, <Cell 'Mysheet2'.B1>, <Cell 'Mysheet2'.C1>),
#  (<Cell 'Mysheet2'.A2>, <Cell 'Mysheet2'.B2>, <Cell 'Mysheet2'.C2>),
#  (<Cell 'Mysheet2'.A3>, <Cell 'Mysheet2'.B3>, <Cell 'Mysheet2'.C3>),
#  (<Cell 'Mysheet2'.A4>, <Cell 'Mysheet2'.B4>, <Cell 'Mysheet2'.C4>),
#  (<Cell 'Mysheet2'.A5>, <Cell 'Mysheet2'.B5>, <Cell 'Mysheet2'.C5>),
#  (<Cell 'Mysheet2'.A6>, <Cell 'Mysheet2'.B6>, <Cell 'Mysheet2'.C6>),
#  (<Cell 'Mysheet2'.A7>, <Cell 'Mysheet2'.B7>, <Cell 'Mysheet2'.C7>),
#  (<Cell 'Mysheet2'.A8>, <Cell 'Mysheet2'.B8>, <Cell 'Mysheet2'.C8>),
#  (<Cell 'Mysheet2'.A9>, <Cell 'Mysheet2'.B9>, <Cell 'Mysheet2'.C9>))# 遍历所有 方法二
tuple(ws.columns)# ((<Cell 'Mysheet2'.A1>,
#   <Cell 'Mysheet2'.A2>,
#   <Cell 'Mysheet2'.A3>,
#   <Cell 'Mysheet2'.A4>,
#   <Cell 'Mysheet2'.A5>,
#   <Cell 'Mysheet2'.A6>,
#   <Cell 'Mysheet2'.A7>,
#   <Cell 'Mysheet2'.A8>,
#   <Cell 'Mysheet2'.A9>),
#  (<Cell 'Mysheet2'.B1>,
#   <Cell 'Mysheet2'.B2>,
#   <Cell 'Mysheet2'.B3>,
#   <Cell 'Mysheet2'.B4>,
#   <Cell 'Mysheet2'.B5>,
#   <Cell 'Mysheet2'.B6>,
#   <Cell 'Mysheet2'.B7>,
#   <Cell 'Mysheet2'.B8>,
#   <Cell 'Mysheet2'.B9>),
#  (<Cell 'Mysheet2'.C1>,
#   <Cell 'Mysheet2'.C2>,
#   <Cell 'Mysheet2'.C3>,
#   <Cell 'Mysheet2'.C4>,
#   <Cell 'Mysheet2'.C5>,
#   <Cell 'Mysheet2'.C6>,
#   <Cell 'Mysheet2'.C7>,
#   <Cell 'Mysheet2'.C8>,
#   <Cell 'Mysheet2'.C9>))# 保存数据
wb.save('try_test.xlsx')

python"># 其他
# 改变 sheet 标签按钮颜色
ws.sheet_properties.tabColor = "1072BA"# 获得最大列和最大行
print(sheet.max_row)
print(sheet.max_column)# 获取每一行，每一列
# sheet.rows为生成器, 里面是每一行的数据，每一行又由一个tuple包裹。
# sheet.columns类似，不过里面是每个tuple是每一列的单元格。
# 因为按行，所以返回A1, B1, C1这样的顺序
for row in sheet.rows:for cell in row:print(cell.value)# A1, A2, A3这样的顺序
for column in sheet.columns:for cell in column:print(cell.value)# 根据数字得到字母，根据字母得到数字
from openpyxl.utils import get_column_letter, column_index_from_string# 根据列的数字返回字母
print(get_column_letter(2))  # B
# 根据字母返回列的数字
print(column_index_from_string('D'))  # 4# 删除工作表
# 方式一
#wb.remove(sheet)
# 方式二
#del wb[sheet]# 矩阵置换（行 → 列）
rows = [['Number', 'data1', 'data2'],[2, 40, 30],[3, 40, 25],[4, 50, 30],[5, 30, 10],[6, 25, 5],[7, 50, 10]]list(zip(*rows))
# 注意 方法会舍弃缺少数据的列(行)
rows = [['Number', 'data1', 'data2'],[2, 40      ],    # 这里少一个数据[3, 40, 25],[4, 50, 30],[5, 30, 10],[6, 25, 5],[7, 50, 10],
]list(zip(*rows))

设置单元格风格

python"># 设置单元格风格
# 1.字体
from openpyxl.styles import Font, colors, Alignment
# 下面的代码指定了等线24号，加粗bold斜体italic，字体颜色蓝色。
# 直接使用cell的font属性，将Font对象赋值给它。
bold_itatic_24_font = Font(name='等线', size=24, italic=True, color=colors.BLUE, bold=True)
sheet['A1'].font = bold_itatic_24_font# 2.对齐方式
# 也是直接使用cell的属性aligment，这里指定垂直居中和水平居中。
# 除了center，还可以使用right、left等等参数
# 设置B1中的数据垂直居中和水平居中
sheet['B1'].alignment = Alignment(horizontal='center', vertical='center')# 3.设置行高和列宽
# 第2行行高
sheet.row_dimensions[2].height = 80
# C列列宽
sheet.column_dimensions['C'].width = 50# 4.合并和拆分单元格
# 所谓合并单元格，即以合并区域的左上角的那个单元格为基准，覆盖其他单元格使之称为一个大的单元格。
# 相反，拆分单元格后将这个大单元格的值返回到原来的左上角位置。# 合并单元格， 往左上角写入数据即可
sheet.merge_cells('B1:G1') # 合并一行中的几个单元格
sheet.merge_cells('A1:C3') # 合并一个矩形区域中的单元格# 合并后只可以往左上角写入数据，也就是区间中:左边的坐标。
# 如果这些要合并的单元格都有数据，只会保留左上角的数据，其他则丢弃。换句话说若合并前不是在左上角写入数据，合并后单元格中不会有数据。
# 以下是拆分单元格的代码。拆分后，值回到A1位置
sheet.unmerge_cells('A1:C3')wb.save('try_test.xlsx')

过滤器和排序

python"># 排序
from openpyxl import Workbookwb = Workbook()
sheet = wb.activedata = [['Item', 'Colour'],['pen', 'brown'],['book', 'black'],['plate', 'white'],['chair', 'brown'],['coin', 'gold'],['bed', 'brown'],['notebook', 'white'],
]for r in data:sheet.append(r)sheet.auto_filter.ref = 'A1:B8' #设置自动筛选 筛选区域
sheet.auto_filter.add_filter_column(1, ['brown', 'white'])  # 过滤的列和需要选择的关键字
sheet.auto_filter.add_sort_condition('B2:B8')  # 为指定范围添加排序条件，默认是升序，add_sort_condition(ref, descending=False) 默认值falsewb.save('filtered.xlsx')

更改工作表的背景颜色

python">#!/usr/bin/env pythonimport openpyxlbook = openpyxl.load_workbook('sheets2.xlsx')
book.create_sheet("March")
sheet = book.get_sheet_by_name("March")
sheet.sheet_properties.tabColor = "0072BA"book.save('sheets3.xlsx')

合并单元格

python">#!/usr/bin/env pythonfrom openpyxl import Workbook
from openpyxl.styles import Alignmentbook = Workbook()
sheet = book.activesheet.merge_cells('A1:B2') # 合并单元格cell = sheet.cell(row=1, column=1) #合并后单元格
cell.value = 'Sunny day'
cell.alignment = Alignment(horizontal='center', vertical='center')
# 设置文本居中book.save('merging.xlsx')

冻结窗口

python">#!/usr/bin/env pythonfrom openpyxl import Workbook
from openpyxl.styles import Alignmentbook = Workbook()
sheet = book.activesheet.freeze_panes = 'B2' # 单元格 B2 冻结窗格book.save('freezing.xlsx')

数字格式

python">import datetime
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
# 使用Python datetime设置date
ws['A1'] = datetime.datetime(2010, 7, 21)ws['A1'].number_format
#'yyyy-mm-dd h:mm:ss'
# 您可以根据具体情况启用类型推断
wb.guess_types = True
# 使用后跟百分比符号的字符串设置百分比
ws['B1'] = '3.14%'
ws['B1'].value

公式

openpyxl不进行计算；它将公式写入单元格。

python">#!/usr/bin/env pythonfrom openpyxl import Workbookbook = Workbook()
sheet = book.activerows = ((34, 26),(88, 36),(24, 29),(15, 22),(56, 13),(76, 18)
)for row in rows:sheet.append(row)cell = sheet.cell(row=7, column=2) # 得到显示计算结果的单元格
cell.value = "=SUM(A1:B6)"          # 将一个公式写入单元格
cell.font = cell.font.copy(bold=True) # 以粗体显示输出样式book.save('formulas.xlsx')

图像

python">#!/usr/bin/env pythonfrom openpyxl import Workbook
from openpyxl.drawing.image import Imagebook = Workbook()
sheet = book.activeimg = Image("0.jpg") # 创建一个新的Image类，图片放在当前工作目录
sheet['A1'] = 'This is Sid'sheet.add_image(img, 'B2') # 添加新图像book.save("sheet_image.xlsx")

图表

openpyxl库支持各种图表：条形图，折线图，面积图，气泡图，散点图和饼图。
！！！Openpyxl目前只支持在工作表内创建图表。现有工作簿中的图表将丢失。

条形图

以下设置会影响不同的图表类型。

通过将类型分别设置为col或bar，在垂直条形图和水平条形图之间切换。
当使用堆叠图表时，重叠需要设置为100。
如果条形图是水平的，则x轴和y轴是反转的。

python">### 垂直条形图、水平条形图
from openpyxl import Workbook
from openpyxl.chart import BarChart, Series, Reference
wb = Workbook(write_only=True)
ws = wb.create_sheet()
rows = [['Number', 'Batch 1', 'Batch 2'],[2, 30, 40],[3, 25, 40],[4 ,30, 50],[5 ,10, 30],[6, 5, 25],[7 ,10, 50],]for row in rows:ws.append(row)chart1 = BarChart()
chart1.type = "col"
chart1.style = 10
chart1.title = "Bar Chart"
chart1.y_axis.title = 'Test number'
chart1.x_axis.title = 'Sample length (mm)'data = Reference(ws, min_col=2, min_row=1, max_row=7, max_col=3)
cats = Reference(ws, min_col=1, min_row=2, max_row=7)
chart1.add_data(data, titles_from_data=True)
chart1.set_categories(cats)
chart1.shape = 4
ws.add_chart(chart1, "A10")from copy import deepcopychart2 = deepcopy(chart1)
chart2.style = 11
chart2.type = "bar"
chart2.title = "Horizontal Bar Chart"ws.add_chart(chart2, "G10")chart3 = deepcopy(chart1)
chart3.type = "col"
chart3.style = 12
chart3.grouping = "stacked"
chart3.overlap = 100
chart3.title = 'Stacked Chart'ws.add_chart(chart3, "A27")chart4 = deepcopy(chart1)
chart4.type = "bar"
chart4.style = 13
chart4.grouping = "percentStacked"
chart4.overlap = 100
chart4.title = 'Percent Stacked Chart'ws.add_chart(chart4, "G27")wb.save("bar.xlsx")

在这里插入图片描述

折线图

python">### 折线图
from datetime import date
from openpyxl import Workbook
from openpyxl.chart import (LineChart,Reference,
)
from openpyxl.chart.axis import DateAxiswb = Workbook()
ws = wb.activerows = [['Date', 'Batch 1', 'Batch 2', 'Batch 3'],[date(2015,9, 1), 40, 30, 25],[date(2015,9, 2), 40, 25, 30],[date(2015,9, 3), 50, 30, 45],[date(2015,9, 4), 30, 25, 40],[date(2015,9, 5), 25, 35, 30],[date(2015,9, 6), 20, 40, 35],
]for row in rows:ws.append(row)c1 = LineChart()
c1.title = "Line Chart"
c1.style = 13
c1.y_axis.title = 'Size'
c1.x_axis.title = 'Test Number'data = Reference(ws, min_col=2, min_row=1, max_col=4, max_row=7)
c1.add_data(data, titles_from_data=True)# 线类型
s1 = c1.series[0]
s1.marker.symbol = "triangle"
s1.marker.graphicalProperties.solidFill = "FF0000" # 标记填充
s1.marker.graphicalProperties.line.solidFill = "FF0000" # 标志的轮廓s1.graphicalProperties.line.noFill = Trues2 = c1.series[1]
s2.graphicalProperties.line.solidFill = "00AAAA"
s2.graphicalProperties.line.dashStyle = "sysDot"
s2.graphicalProperties.line.width = 100050 # 宽度在EMUss2 = c1.series[2]
s2.smooth = True # 使线条平滑ws.add_chart(c1, "A10")from copy import deepcopystacked = deepcopy(c1)
stacked.grouping = "stacked"
stacked.title = "Stacked Line Chart"
ws.add_chart(stacked, "A27")percent_stacked = deepcopy(c1)
percent_stacked.grouping = "percentStacked"
percent_stacked.title = "Percent Stacked Line Chart"
ws.add_chart(percent_stacked, "A44")# 带日期轴的图表
c2 = LineChart()
c2.title = "Date Axis"
c2.style = 12
c2.y_axis.title = "Size"
c2.y_axis.crossAx = 500
c2.x_axis = DateAxis(crossAx=100)
c2.x_axis.number_format = 'd-mmm'
c2.x_axis.majorTimeUnit = "days"
c2.x_axis.title = "Date"c2.add_data(data, titles_from_data=True)
dates = Reference(ws, min_col=1, min_row=2, max_row=7)
c2.set_categories(dates)ws.add_chart(c2, "A61")wb.save("line.xlsx")

在这里插入图片描述

散点图

python">### 散点图
from openpyxl import Workbook
from openpyxl.chart import (ScatterChart,Reference,Series,
)wb = Workbook()
ws = wb.activerows = [['Size', 'Batch 1', 'Batch 2'],[2, 40, 30],[3, 40, 25],[4, 50, 30],[5, 30, 25],[6, 25, 35],[7, 20, 40],
]for row in rows:ws.append(row)chart = ScatterChart()
chart.title = "Scatter Chart"
chart.style = 13
chart.x_axis.title = 'Size'
chart.y_axis.title = 'Percentage'xvalues = Reference(ws, min_col=1, min_row=2, max_row=7)
for i in range(2, 4):values = Reference(ws, min_col=i, min_row=1, max_row=7)series = Series(values, xvalues, title_from_data=True)#设置系列1数据点的样式，圆圈series.marker.symbol = "circle"#设置系列1数据点的颜色，以下两行代码将其改为红色series.marker.graphicalProperties.solidFill = "FF0000"  # 点的内部填充颜色series.marker.graphicalProperties.line.solidFill = "FF0000"  #点的外边框颜色#关键的一步：关闭系列1数据点之间的连接线 否则画出来类似折线图series.graphicalProperties.line.noFill = Truechart.series.append(series)ws.add_chart(chart, "A10")wb.save("scatter.xlsx")