本文实例为大家分享了python xlsxwriter创建excel图表的具体代码,供大家参考,具体内容如
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#coding=utf-8 import xlsxwriter from xlsxwriter.workbook import Workbook from xlrd.sheet import Sheet def demo1(): import xlsxwriter # 创建excel文件 workbook = xlsxwriter.Workbook( 'demo.xlsx' ) # 添加worksheet,也可以指定名字 worksheet = workbook.add_worksheet() worksheet = workbook.add_worksheet( 'Test' ) #设置第一列的宽度 worksheet.set_column( 'A:A' , len ( 'hello ' ) + 1 ) #添加一个加粗格式方便后面使用 bold = workbook.add_format({ 'bold' : True }) #在A1单元格写入纯文本 worksheet.write( 'A1' , 'Hello' ) #在A2单元格写入带格式的文本 worksheet.write( 'A2' , 'World' , bold) #指定行列写入数字,下标从0开始 worksheet.write( 2 , 0 , 123 ) worksheet.write( 3 , 0 , 123.456 ) #在B5单元格插入图片 worksheet.insert_image( 'B5' , 'python-logo.png' ) workbook.close() def charts(): workbook = xlsxwriter.Workbook( 'chart_column.xlsx' ) worksheet = workbook.add_worksheet() bold = workbook.add_format({ 'bold' : 1 }) # 这是个数据table的列 headings = [ 'Number' , 'Batch 1' , 'Batch 2' ] data = [ [ 2 , 3 , 4 , 5 , 6 , 7 ], [ 10 , 40 , 50 , 20 , 10 , 50 ], [ 30 , 60 , 70 , 50 , 40 , 30 ], ] #写入一行 worksheet.write_row( 'A1' , headings, bold) #写入一列 worksheet.write_column( 'A2' , data[ 0 ]) worksheet.write_column( 'B2' , data[ 1 ]) worksheet.write_column( 'C2' , data[ 2 ]) ############################################ #创建一个图表,类型是column chart1 = workbook.add_chart({ 'type' : 'column' }) # 配置series,这个和前面worksheet是有关系的。 # 指定图表的数据范围 chart1.add_series({ 'name' : '=Sheet1!$B$1' , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$B$2:$B$7' , }) chart1.add_series({ 'name' : "=Sheet1!$C$1" , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$C$2:$C$7' , }) # 配置series的另一种方法 # # [sheetname, first_row, first_col, last_row, last_col] # chart1.add_series({ # 'name': ['Sheet1',0,1], # 'categories': ['Sheet1',1,0,6,0], # 'values': ['Sheet1',1,1,6,1], # }) # # # # chart1.add_series({ # 'name': ['Sheet1', 0, 2], # 'categories': ['Sheet1', 1, 0, 6, 0], # 'values': ['Sheet1', 1, 2, 6, 2], # }) # 添加图表标题和标签 chart1.set_title ({ 'name' : 'Results of sample analysis' }) chart1.set_x_axis({ 'name' : 'Test number' }) chart1.set_y_axis({ 'name' : 'Sample length (mm)' }) # 设置图表风格 chart1.set_style( 11 ) # 在D2单元格插入图表(带偏移) worksheet.insert_chart( 'D2' , chart1, { 'x_offset' : 25 , 'y_offset' : 10 }) ####################################################################### # # 创建一个叠图子类型 chart2 = workbook.add_chart({ 'type' : 'column' , 'subtype' : 'stacked' }) # Configure the first series. chart2.add_series({ 'name' : '=Sheet1!$B$1' , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$B$2:$B$7' , }) # Configure second series. chart2.add_series({ 'name' : '=Sheet1!$C$1' , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$C$2:$C$7' , }) # Add a chart title and some axis labels. chart2.set_title ({ 'name' : 'Stacked Chart' }) chart2.set_x_axis({ 'name' : 'Test number' }) chart2.set_y_axis({ 'name' : 'Sample length (mm)' }) # Set an Excel chart style. chart2.set_style( 12 ) # Insert the chart into the worksheet (with an offset). worksheet.insert_chart( 'D18' , chart2, { 'x_offset' : 25 , 'y_offset' : 10 }) ####################################################################### # # Create a percentage stacked chart sub-type. # chart3 = workbook.add_chart({ 'type' : 'column' , 'subtype' : 'percent_stacked' }) # Configure the first series. chart3.add_series({ 'name' : '=Sheet1!$B$1' , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$B$2:$B$7' , }) # Configure second series. chart3.add_series({ 'name' : '=Sheet1!$C$1' , 'categories' : '=Sheet1!$A$2:$A$7' , 'values' : '=Sheet1!$C$2:$C$7' , }) # Add a chart title and some axis labels. chart3.set_title ({ 'name' : 'Percent Stacked Chart' }) chart3.set_x_axis({ 'name' : 'Test number' }) chart3.set_y_axis({ 'name' : 'Sample length (mm)' }) # Set an Excel chart style. chart3.set_style( 13 ) # Insert the chart into the worksheet (with an offset). worksheet.insert_chart( 'D34' , chart3, { 'x_offset' : 25 , 'y_offset' : 10 }) #生成圆饼图 chart4 = workbook.add_chart({ 'type' : 'pie' }) #定义数据 data = [ [ 'Pass' , 'Fail' , 'Warn' , 'NT' ], [ 333 , 11 , 12 , 22 ], ] #写入数据 worksheet.write_row( 'A51' ,data[ 0 ],bold) worksheet.write_row( 'A52' ,data[ 1 ]) chart4.add_series({ 'name' : '接口测试报表图' , 'categories' : '=Sheet1!$A$51:$D$51' , 'values' : '=Sheet1!$A$52:$D$52' , 'points' :[ { 'fill' :{ 'color' : '#00CD00' }}, { 'fill' :{ 'color' : 'red' }}, { 'fill' :{ 'color' : 'yellow' }}, { 'fill' :{ 'color' : 'gray' }}, ], }) # Add a chart title and some axis labels. chart4.set_title ({ 'name' : '接口测试统计' }) chart4.set_style( 3 ) # chart3.set_y_axis({'name': 'Sample length (mm)'}) worksheet.insert_chart( 'E52' , chart4, { 'x_offset' : 25 , 'y_offset' : 10 }) workbook.close() if __name__ = = '__main__' : # demo1() charts() print ( 'finished...' ) pass |
效果如下
参考文档:
https://pypi.python.org/pypi/XlsxWriter
python使用xlsxwriter打造excel周报日周的统计图表
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/pegsa/article/details/52729250