本篇講下如何使用純python代碼將excel 中的圖表導(dǎo)出為圖片。這里需要使用的模塊有win32com、pythoncom模塊。
網(wǎng)上經(jīng)查詢有人已經(jīng)寫好的模塊pyxlchart,具體代碼如下:
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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()" |
這里還使用Excel vba將chart另存為圖片篇中創(chuàng)建的chart_column.xlsx表,使用上面的模塊的方法如下:
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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() |
由于有該表里有多張圖表,所以上面未指定xl.ImageFilename ,使用示例如下:
Excel vba將chart另存為圖片
python下使用xlswriter模塊,可以輕松在excel 中創(chuàng)建圖片,不過想實(shí)現(xiàn)將生成的chart圖表導(dǎo)出為圖片,在email 中導(dǎo)入圖片的目標(biāo) 。經(jīng)網(wǎng)上查詢未找到通過python代碼將excel 中已經(jīng)生成的圖片導(dǎo)出為圖片的方法,不過通過變通方法,使用excel 內(nèi)的vba 宏卻可以輕松將圖片導(dǎo)出。
1、導(dǎo)出單張圖片
python 創(chuàng)建chart圖片代碼:
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#coding: utf-8 import xlsxwriter import random def get_num(): return random.randrange( 0 , 201 , 2 ) workbook = xlsxwriter.Workbook( 'analyse_spider.xlsx' ) #創(chuàng)建一個(gè)Excel文件 worksheet = workbook.add_worksheet() #創(chuàng)建一個(gè)工作表對象 chart = workbook.add_chart({ 'type' : 'column' }) #創(chuàng)建一個(gè)圖表對象 #定義數(shù)據(jù)表頭列表 title = [u '業(yè)務(wù)名稱' ,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 '運(yùn)維之路' ,u '就要IT' ,u 'baidu.com' ,u '361way.com' ,u '91it.org' ] #定義頻道名稱 #定義5頻道一周7天流量數(shù)據(jù)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() #定義format格式對象 format .set_border( 1 ) #定義format對象單元格邊框加粗(1像素)的格式 format_title = workbook.add_format() #定義format_title格式對象 format_title.set_border( 1 ) #定義format_title對象單元格邊框加粗(1像素)的格式 format_title.set_bg_color( '#cccccc' ) #定義format_title對象單元格背景顏色為 #'#cccccc'的格式 format_title.set_align( 'center' ) #定義format_title對象單元格居中對齊的格式 format_title.set_bold() #定義format_title對象單元格內(nèi)容加粗的格式 format_ave = workbook.add_format() #定義format_ave格式對象 format_ave.set_border( 1 ) #定義format_ave對象單元格邊框加粗(1像素)的格式 format_ave.set_num_format( '0.00' ) #定義format_ave對象單元格數(shù)字類別顯示格式 #下面分別以行或列寫入方式將標(biāo)題、業(yè)務(wù)名稱、流量數(shù)據(jù)寫入起初單元格,同時(shí)引用不同格式對象 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 ) #定義圖表數(shù)據(jù)系列函數(shù) def chart_series(cur_row): worksheet.write_formula( 'I' + cur_row, \ '=AVERAGE(B' + cur_row + ':H' + cur_row + ')' ,format_ave) #計(jì)算(AVERAGE函數(shù))頻 #道周平均流量 chart.add_series({ 'categories' : '=Sheet1!$B$1:$H$1' , #將“星期一至星期日”作為圖表數(shù)據(jù)標(biāo)簽(X軸) 'values' : '=Sheet1!$B$' + cur_row + ':$H$' + cur_row, #頻道一周所有數(shù)據(jù)作 #為數(shù)據(jù)區(qū)域 'line' : { 'color' : 'black' }, #線條顏色定義為black(黑色) 'name' : '=Sheet1!$A$' + cur_row, #引用業(yè)務(wù)名稱為圖例項(xiàng) }) for row in range ( 2 , 7 ): #數(shù)據(jù)域以第2~6行進(jìn)行圖表數(shù)據(jù)系列函數(shù)調(diào)用 chart_series( str (row)) chart.set_size({ 'width' : 577 , 'height' : 287 }) #設(shè)置圖表大小 chart.set_title ({ 'name' : u '爬蟲分析' }) #設(shè)置圖表(上方)大標(biāo)題 chart.set_y_axis({ 'name' : 'count' }) #設(shè)置y軸(左側(cè))小標(biāo)題 worksheet.insert_chart( 'A8' , chart) #在A8單元格插入圖表 workbook.close() #關(guān)閉Excel文檔 |

由于這里只有一張圖片,通過vba 代碼很容易生成圖片 。方法為,打開該excel 圖表,通過alt + F11 快捷鍵打開宏編輯界面;打開VB編輯器的立即窗口:”視圖“-”立即窗口“,或者使用快捷鍵"Ctrl + G" ,接著輸入如下代碼
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activesheet.ChartObjects(1).Chart.Export "C:\chart.png" |
按 " Enter " 鍵后,會在C盤生成上面的生成的chart圖表。
二、導(dǎo)出多張圖表
python代碼如下:
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#coding: utf-8 import xlsxwriter workbook = xlsxwriter.Workbook( 'chart_column.xlsx' ) worksheet = workbook.add_worksheet() bold = workbook.add_format({ 'bold' : 1 }) # 這是個(gè)數(shù)據(jù)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 ]) ############################################ #創(chuàng)建一個(gè)圖表,類型是column chart1 = workbook.add_chart({ 'type' : 'column' }) # 配置series,這個(gè)和前面wordsheet是有關(guān)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() |
同一數(shù)據(jù)源上面創(chuàng)建了三種類型的圖 ,由于有三張圖,上面的導(dǎo)出一張圖的方法肯定是不行了,這里打開宏,創(chuàng)建如下宏內(nèi)容:
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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 |
該示例這里就不再截圖,具體可以自行運(yùn)行。