在excel中找到许多行列等待处理的数据，替代传统低效率的人工操作，并且进行精简处理，这正是openpyx的受到众多好评的原因。想要了解如何用openpyxl进行图表处理 ，实例讲解如下：

openpyxl通过charts进行图表处理，这里在就强大图表处理功能进行下补充。各种图表都有如下：

以BarChart为例， 在BarChart中，图表类型可以通过众多参数设置。

值被绘制为水平条或垂直列：通过将类型设置为COL或BAR，即可在垂直和水平条形图之间切换；当使用堆叠图时，重叠需要设置为100。可以通过chartObj.y_axis.title=’Test_y’， chartObj.x_axis.title=’Test_x’ 设置坐标轴的属性；通过chartObj.type=’col’   （col为纵向,bar为横向），chartObj.title=’Bar chart’ 等来设置图表的属性等。

以下代码生成4种2D图表。

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, 10, 30),    (3, 40, 60),    (4, 50, 70),    (5, 20, 10),    (6, 10, 40),    (7, 50, 30), ] 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 deepcopy chart2 = 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”)

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代码验证通过，效果如下:

 

<img loading="lazy" class="aligncenter size-full wp-image-11373" src="https://www.python51.com/wp-content/uploads/2021/04/1603704553260774.png" width="952" height="639" srcset="https://www.python51.com/wp-content/uploads/2021/04/1603704553260774.png 952w, https://www.python51.com/wp-content/uploads/2021/04/1603704553260774-223x150.png 223w, https://www.python51.com/wp-content/uploads/2021/04/1603704553260774-372x250.png 372w, https://www.python51.com/wp-content/uploads/2021/04/1603704553260774-768x515.png 768w" sizes="(max-width: 952px) 100vw, 952px" />

 

以下代码生成3D图表。

 

from openpyxl import Workbook from openpyxl.chart import (    Reference,    Series,    BarChart3D, ) wb = Workbook() ws = wb.active rows = [    (None, 2013, 2014),    (“Apples”, 5, 4),    (“Oranges”, 6, 2),    (“Pears”, 8, 3) ] for row in rows:    ws.append(row) data = Reference(ws, min_col=2, min_row=1, max_col=3, max_row=4) titles = Reference(ws, min_col=1, min_row=2, max_row=4) chart = BarChart3D() chart.title = “3D Bar Chart” chart.add_data(data=data, titles_from_data=True) chart.set_categories(titles) ws.add_chart(chart, “E5”) wb.save(“bar3d.xlsx”)
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代码验证通过，效果如下:

openpyxl实现了用Python读取和修改Excel电子表格件，并生成需要的新表格，需要的小伙伴可以尝试操作啦。