如何自动从Excel文件中复制文本

我有250个Microsoft Excel（.xls）文件，都在一个文件夹中。 我需要执行以下操作：

for each file: open the file switch to a specific tab in the file extract the text from rows 15-100 on that tab save the text in a text file somewhere 

我认为这可以自动化，但我不知道如何。 我在哪里开始寻找如何做到这一点？ 我真的不想打开250个excel文件并手工复制文本，因为那需要几个小时。 🙁

Answer 1

既然您已经有了Excel，您可以在一个单独的工作表中创build一个Excelmacros来执行此操作; 只要确保工作表在你正在parsing的目录之外。 您需要为FileSystemObject添加一个引用，该引用应在C：\ Windows \ System32 \ scrrun.dll中find。

 Option Explicit Sub ExtractData() Dim fso As New FileSystemObject Dim oFile As File Dim oFolder As Folder Dim sFileOutput As String Dim fNum Dim excelFile As Excel.Workbook Dim excelWorksheet As Excel.Worksheet Dim i As Integer sFileOutput = "C:\FolderToScan\ExcelOutput.txt" Set oFolder = fso.GetFolder("C:\FolderToScan") For Each oFile In oFolder.Files If Right(oFile.Name, 3) = "xls" Then fNum = FreeFile() Open sFileOutput For Append As fNum Set excelFile = Workbooks.Open(oFile.Path) Set excelWorksheet = excelFile.Sheets(1) 'Or: ' Set excelWorksheet = excelFile.Sheets("Name of your sheet") For i = 15 To 100 Write #fNum, excelWorksheet.Cells(i, 1) Next Close #fNum excelFile.Close Set excelFile = Nothing End If Next End Sub 

Answer 2

这可以很快解决使用xlrd模块和python，我从activestate.com复制以下示例 – 很容易适应您的需要。

 ## {{{ http://code.activestate.com/recipes/483742/ (r3) class readexcel(object): """ Simple OS Independent Class for Extracting Data from Excel Files the using xlrd module found at http://www.lexicon.net/sjmachin/xlrd.htm Versions of Excel supported: 2004, 2002, XP, 2000, 97, 95, 5, 4, 3 xlrd version tested: 0.5.2 Data is extracted by creating a iterator object which can be used to return data one row at a time. The default extraction method assumes that the worksheet is in tabular format with the first nonblank row containing variable names and all subsequent rows containing values. This method returns a dictionary which uses the variables names as keys for each piece of data in the row. Data can also be extracted with each row represented by a list. Extracted data is represented fairly logically. By default dates are returned as strings in "yyyy/mm/dd" format or "yyyy/mm/dd hh:mm:ss", as appropriate. However, dates can be return as a tuple containing (Year, Month, Day, Hour, Min, Second) which is appropriate for usage with mxDateTime or DateTime. Numbers are returned as either INT or FLOAT, whichever is needed to support the data. Text, booleans, and error codes are also returned as appropriate representations. Quick Example: xl = readexcel('testdata.xls') sheetnames = xl.worksheets() for sheet in sheetnames: print sheet for row in xl.getiter(sheet): # Do Something here """ def __init__(self, filename): """ Returns a readexcel object of the specified filename - this may take a little while because the file must be parsed into memory """ import xlrd import os.path if not os.path.isfile(filename): raise NameError, "%s is not a valid filename" % filename self.__filename__ = filename self.__book__ = xlrd.open_workbook(filename) self.__sheets__ = {} self.__sheetnames__ = [] for i in self.__book__.sheet_names(): uniquevars = [] firstrow = 0 sheet = self.__book__.sheet_by_name(i) for row in range(sheet.nrows): types,values = sheet.row_types(row),sheet.row_values(row) nonblank = False for j in values: if j != '': nonblank=True break if nonblank: # Generate a listing of Unique Variable Names for Use as # Dictionary Keys In Extraction. Duplicate Names will # be replaced with "F#" variables = self.__formatrow__(types,values,False) unknown = 1 while variables: var = variables.pop(0) if var in uniquevars or var == '': var = 'F' + str(unknown) unknown += 1 uniquevars.append(str(var)) firstrow = row + 1 break self.__sheetnames__.append(i) self.__sheets__.setdefault(i,{}).__setitem__('rows',sheet.nrows) self.__sheets__.setdefault(i,{}).__setitem__('cols',sheet.ncols) self.__sheets__.setdefault(i,{}).__setitem__('firstrow',firstrow) self.__sheets__.setdefault(i,{}).__setitem__('variables',uniquevars[:]) def getiter(self, sheetname, returnlist=False, returntupledate=False): """ Return an generator object which yields the lines of a worksheet; Default returns a dictionary, specifing returnlist=True causes lists to be returned. Calling returntupledate=True causes dates to returned as tuples of (Year, Month, Day, Hour, Min, Second) instead of as a string """ if sheetname not in self.__sheets__.keys(): raise NameError, "%s is not present in %s" % (sheetname,\ self.__filename__) if returnlist: return __iterlist__(self, sheetname, returntupledate) else: return __iterdict__(self, sheetname, returntupledate) def worksheets(self): """ Returns a list of the Worksheets in the Excel File """ return self.__sheetnames__ def nrows(self, worksheet): """ Return the number of rows in a worksheet """ return self.__sheets__[worksheet]['rows'] def ncols(self, worksheet): """ Return the number of columns in a worksheet """ return self.__sheets__[worksheet]['cols'] def variables(self,worksheet): """ Returns a list of Column Names in the file, assuming a tabular format of course. """ return self.__sheets__[worksheet]['variables'] def __formatrow__(self, types, values, wanttupledate): """ Internal function used to clean up the incoming excel data """ ## Data Type Codes: ## EMPTY 0 ## TEXT 1 a Unicode string ## NUMBER 2 float ## DATE 3 float ## BOOLEAN 4 int; 1 means TRUE, 0 means FALSE ## ERROR 5 import xlrd returnrow = [] for i in range(len(types)): type,value = types[i],values[i] if type == 2: if value == int(value): value = int(value) elif type == 3: datetuple = xlrd.xldate_as_tuple(value, self.__book__.datemode) if wanttupledate: value = datetuple else: # time only no date component if datetuple[0] == 0 and datetuple[1] == 0 and \ datetuple[2] == 0: value = "%02d:%02d:%02d" % datetuple[3:] # date only, no time elif datetuple[3] == 0 and datetuple[4] == 0 and \ datetuple[5] == 0: value = "%04d/%02d/%02d" % datetuple[:3] else: # full date value = "%04d/%02d/%02d %02d:%02d:%02d" % datetuple elif type == 5: value = xlrd.error_text_from_code[value] returnrow.append(value) return returnrow def __iterlist__(excel, sheetname, tupledate): """ Function Used To Create the List Iterator """ sheet = excel.__book__.sheet_by_name(sheetname) for row in range(excel.__sheets__[sheetname]['rows']): types,values = sheet.row_types(row),sheet.row_values(row) yield excel.__formatrow__(types, values, tupledate) def __iterdict__(excel, sheetname, tupledate): """ Function Used To Create the Dictionary Iterator """ sheet = excel.__book__.sheet_by_name(sheetname) for row in range(excel.__sheets__[sheetname]['firstrow'],\ excel.__sheets__[sheetname]['rows']): types,values = sheet.row_types(row),sheet.row_values(row) formattedrow = excel.__formatrow__(types, values, tupledate) # Pad a Short Row With Blanks if Needed for i in range(len(formattedrow),\ len(excel.__sheets__[sheetname]['variables'])): formattedrow.append('') yield dict(zip(excel.__sheets__[sheetname]['variables'],formattedrow)) ## end of http://code.activestate.com/recipes/483742/ }}}