本篇讲下如何使用纯python代码将excel 中的图表导出为图片。这里需要使用的模块有win32com、pythoncom模块。

网上经查询有人已经写好的模块pyxlchart，具体代码如下：

from win32com.client import Dispatch

import os

import pythoncom

class Pyxlchart(object):

"""

This class exports charts in an Excel Spreadsheet to the FileSystem

win32com libraries are required.

"""

def __init__(self):

pythoncom.CoInitialize()

self.WorkbookDirectory = ''

self.WorkbookFilename = ''

self.GetAllWorkbooks = False

self.SheetName = ''

self.ChartName = ''

self.GetAllWorkbookCharts = False

self.GetAllWorksheetCharts = False

self.ExportPath = ''

self.ImageFilename = ''

self.ReplaceWhiteSpaceChar = '_'

self.ImageType = 'jpg'

def __del__(self):

pass

def start_export(self):

if self.WorkbookDirectory == '':

return "WorkbookDirectory not set"

else:

self._export()

def _export(self):

"""

Exports Charts as determined by the settings in class variabels.

"""

excel = Dispatch("excel.application")

excel.Visible = False

wb = excel.Workbooks.Open(os.path.join(self.WorkbookDirectory ,self.WorkbookFilename))

self._get_Charts_In_Worksheet(wb,self.SheetName,self.ChartName)

wb.Close(False)

excel.Quit()

def _get_Charts_In_Worksheet(self,wb,worksheet = "", chartname = ""):

if worksheet != "" and chartname != "":

sht = self._change_sheet(wb,worksheet)

cht = sht.ChartObjects(chartname)

self._save_chart(cht)

return

if worksheet == "":

for sht in wb.Worksheets:

for cht in sht.ChartObjects():

if chartname == "":

self._save_chart(cht)

else:

if chartname == cht.Name:

self._save_chart(cht)

else:

sht = wb.Worksheets(worksheet)

for cht in sht.ChartObjects():

if chartname == "":

self._save_chart(cht)

else:

if chartname == cht.Name:

self._save_chart(cht)

def _change_sheet(self,wb,worksheet):

try:

return wb.Worksheets(worksheet)

except:

raise NameError('Unable to Select Sheet: ' + worksheet + ' in Workbook: ' + wb.Name)

def _save_chart(self,chartObject):

imagename = self._get_filename(chartObject.Name)

savepath = os.path.join(self.ExportPath,imagename)

print savepath

chartObject.Chart.Export(savepath,self.ImageType)

def _get_filename(self,chartname):

"""

Replaces white space in self.WorkbookFileName with the value given in self.ReplaceWhiteSpaceChar

If self.ReplaceWhiteSpaceChar is an empty string then self.WorkBookFileName is left as is

"""

if self.ImageFilename == '':

self.ImageFilename == chartname

if self.ReplaceWhiteSpaceChar != '':

chartname.replace(' ',self.ReplaceWhiteSpaceChar)

if self.ImageFilename != "":

return self.ImageFilename + "_" + chartname + "." + self.ImageType

else:

return chartname + '.' + self.ImageType

if __name__ == "__main__":

xl = Pyxlchart()

xl.WorkbookDirectory = "\\\\maawtns01\\discipline\\procurement\\MATERIEL\\Raw Material\\Data Management\\Hawk"

xl.WorkbookFilename = "Hawk Workability KPI.xlsm"

xl.SheetName = ""

xl.ImageFilename = "MyChart1"

xl.ExportPath = "d:\\pycharts"

xl.ChartName = ""

xl.start_export()

print "This file does not currently allow direct access"

print "Please import PyXLChart and run start_export()"

这里还使用Excel vba将chart另存为图片篇中创建的chart_column.xlsx表，使用上面的模块的方法如下：

from pyxlchart import Pyxlchart

xl = Pyxlchart()

xl.WorkbookDirectory = "D:\\"

xl.WorkbookFilename = "chart_column.xlsx"

xl.SheetName = ""

#xl.ImageFilename = "MyChart1"

xl.ExportPath = "d:\\"

xl.ChartName = ""

xl.start_export()

由于有该表里有多张图表，所以上面未指定xl.ImageFilename ，使用示例如下：

Excel vba将chart另存为图片

python下使用xlswriter模块，可以轻松在excel 中创建图片，不过想实现将生成的chart图表导出为图片，在email

中导入图片的目标 。经网上查询未找到通过python代码将excel 中已经生成的图片导出为图片的方法，不过通过变通方法，使用excel

内的vba 宏却可以轻松将图片导出。

1、导出单张图片

python 创建chart图片代码：

#coding: utf-8

import xlsxwriter

import random

def get_num():

return random.randrange(0, 201, 2)

workbook = xlsxwriter.Workbook('analyse_spider.xlsx') #创建一个Excel文件

worksheet = workbook.add_worksheet() #创建一个工作表对象

chart = workbook.add_chart({'type': 'column'}) #创建一个图表对象

#定义数据表头列表

title = [u'业务名称',u'星期一',u'星期二',u'星期三',u'星期四',u'星期五',u'星期六',u'星期日',u'平均流量']

buname= [u'运维之路',u'就要IT',u'baidu.com',u'361way.com',u'91it.org'] #定义频道名称

#定义5频道一周7天流量数据列表

data = []

for i in range(5):

tmp = []

for j in range(7):

tmp.append(get_num())

data.append(tmp)

format=workbook.add_format() #定义format格式对象

format.set_border(1) #定义format对象单元格边框加粗(1像素)的格式

format_title=workbook.add_format() #定义format_title格式对象

format_title.set_border(1) #定义format_title对象单元格边框加粗(1像素)的格式

format_title.set_bg_color('#cccccc') #定义format_title对象单元格背景颜色为

#'#cccccc'的格式

format_title.set_align('center') #定义format_title对象单元格居中对齐的格式

format_title.set_bold() #定义format_title对象单元格内容加粗的格式

format_ave=workbook.add_format() #定义format_ave格式对象

format_ave.set_border(1) #定义format_ave对象单元格边框加粗(1像素)的格式

format_ave.set_num_format('0.00') #定义format_ave对象单元格数字类别显示格式

#下面分别以行或列写入方式将标题、业务名称、流量数据写入起初单元格，同时引用不同格式对象

worksheet.write_row('A1',title,format_title)

worksheet.write_column('A2', buname,format)

worksheet.write_row('B2', data[0],format)

worksheet.write_row('B3', data[1],format)

worksheet.write_row('B4', data[2],format)

worksheet.write_row('B5', data[3],format)

worksheet.write_row('B6', data[4],format)

#定义图表数据系列函数

def chart_series(cur_row):

worksheet.write_formula('I'+cur_row, \

'=AVERAGE(B'+cur_row+':H'+cur_row+')',format_ave) #计算(AVERAGE函数)频

#道周平均流量

chart.add_series({

'categories': '=Sheet1!$B$1:$H$1', #将“星期一至星期日”作为图表数据标签(X轴)

'values': '=Sheet1!$B$'+cur_row+':$H$'+cur_row, #频道一周所有数据作

#为数据区域

'line': {'color': 'black'}, #线条颜色定义为black(黑色)

'name': '=Sheet1!$A$'+cur_row, #引用业务名称为图例项

})

for row in range(2, 7): #数据域以第2～6行进行图表数据系列函数调用

chart_series(str(row))

chart.set_size({'width': 577, 'height': 287}) #设置图表大小

chart.set_title ({'name': u'爬虫分析'}) #设置图表(上方)大标题

chart.set_y_axis({'name': 'count'}) #设置y轴(左侧)小标题

worksheet.insert_chart('A8', chart) #在A8单元格插入图表

workbook.close() #关闭Excel文档

由于这里只有一张图片，通过vba 代码很容易生成图片 。方法为，打开该excel 图表，通过alt + F11 快捷键打开宏编辑界面；打开VB编辑器的立即窗口：”视图“-”立即窗口“，或者使用快捷键"Ctrl + G" ，接着输入如下代码

activesheet.ChartObjects(1).Chart.Export "C:\chart.png"

按 " Enter " 键后，会在C盘生成上面的生成的chart图表。

二、导出多张图表

python代码如下：

#coding: utf-8

import xlsxwriter

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],

]

worksheet.write_row('A1', headings, bold)

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wordsheet是有关系的。

chart1.add_series({

'name': '=Sheet1!$B$1',

'categories': '=Sheet1!$A$2:$A$7',

'values': '=Sheet1!$B$2:$B$7',

})

# Configure a second series. Note use of alternative syntax to define ranges.

chart1.add_series({

'name': ['Sheet1', 0, 2],

'categories': ['Sheet1', 1, 0, 6, 0],

'values': ['Sheet1', 1, 2, 6, 2],

})

# Add a chart title and some axis labels.

chart1.set_title ({'name': 'Results of sample analysis'})

chart1.set_x_axis({'name': 'Test number'})

chart1.set_y_axis({'name': 'Sample length (mm)'})

# Set an Excel chart style.

chart1.set_style(11)

# Insert the chart into the worksheet (with an offset).

worksheet.insert_chart('D2', chart1, {'x_offset': 25, 'y_offset': 10})

#######################################################################

#

# Create a stacked chart sub-type.

#

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})

workbook.close()

同一数据源上面创建了三种类型的图 ，由于有三张图，上面的导出一张图的方法肯定是不行了，这里打开宏，创建如下宏内容：

Sub exportimg()

Dim XlsChart As ChartObject

For Each XlsChart In Worksheets("Sheet1").ChartObjects

XlsChart.Chart.Export Filename:="C:\" & XlsChart.Name & ".jpg", FilterName:="JPG"

Next

End Sub

该示例这里就不再截图，具体可以自行运行。