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
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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