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使用Python导出Excel图表以及到处为图片的方法

2024/6/14 7:50:36发布67次查看
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 dispatchimport osimport pythoncomclass 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.imagetypeif __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 pyxlchartxl = pyxlchart()xl.workbookdirectory = d:\\xl.workbookfilename = chart_column.xlsxxl.sheetname = #xl.imagefilename = mychart1xl.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-8import xlsxwriterimport randomdef 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$'+cur_row, #引用业务名称为图例项 })for row in range(2, 7): #数据域以第2~6行进行图表数据系列函数调用 chart_series(str(row))chart.set_size({'width': 577, 'height': 287}) #设置图表大小chart.set_title ({'name': u'爬虫分析'}) #设置图表(上方)大标题chart.set_y_axis({'name': 'count'}) #设置y轴(左侧)小标题worksheet.insert_chart('a8', chart) #在a8单元格插入图表workbook.close() #关闭excel文档
由于这里只有一张图片,通过vba 代码很容易生成图片 。方法为,打开该excel 图表,通过alt + f11 快捷键打开宏编辑界面;打开vb编辑器的立即窗口:”视图“-”立即窗口“,或者使用快捷键ctrl + g ,接着输入如下代码
activesheet.chartobjects(1).chart.export c:\chart.png
按 enter 键后,会在c盘生成上面的生成的chart图表。
二、导出多张图表
python代码如下:
#coding: utf-8import xlsxwriterworkbook = xlsxwriter.workbook('chart_column.xlsx')worksheet = workbook.add_worksheet()bold = workbook.add_format({'bold': 1})# 这是个数据table的列headings = ['number', 'batch 1', 'batch 2']data = [ [2, 3, 4, 5, 6, 7], [10, 40, 50, 20, 10, 50], [30, 60, 70, 50, 40, 30],]worksheet.write_row('a1', headings, bold)worksheet.write_column('a2', data[0])worksheet.write_column('b2', data[1])worksheet.write_column('c2', data[2])#############################################创建一个图表,类型是columnchart1 = workbook.add_chart({'type': 'column'})# 配置series,这个和前面wordsheet是有关系的。chart1.add_series({ 'name': '=sheet1!$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 chartobjectfor each xlschart in worksheets(sheet1).chartobjects xlschart.chart.export filename:=c:\ & xlschart.name & .jpg, filtername:=jpgnextend sub
该示例这里就不再截图,具体可以自行运行。
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