使用Python导出Excel图表以及到处为图片的方法

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()

#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

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

#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()

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