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 程式師世界 >> 編程語言 >> 更多編程語言 >> 更多關於編程 >> Python實現簡單HTML表格解析的方法

Python實現簡單HTML表格解析的方法

編輯:更多關於編程

       本文實例講述了Python實現簡單HTML表格解析的方法。分享給大家供大家參考。具體分析如下:

      這裡依賴libxml2dom,確保首先安裝!導入到你的腳步並調用parse_tables() 函數。

      1. source = a string containing the source code you can pass in just the table or the entire page code

      2. headers = a list of ints OR a list of strings

      If the headers are ints this is for tables with no header, just list the 0 based index of the rows in which you want to extract data.

      If the headers are strings this is for tables with header columns (with the tags) it will pull the information from the specified columns

      3. The 0 based index of the table in the source code. If there are multiple tables and the table you want to parse is the third table in the code then pass in the number 2 here

      It will return a list of lists. each inner list will contain the parsed information.

      具體代碼如下:

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      118#The goal of table parser is to get specific information from specific

      #columns in a table.

      #Input: source code from a typical website

      #Arguments: a list of headers the user wants to return

      #Output: A list of lists of the data in each row

      import libxml2dom

      def parse_tables(source, headers, table_index):

      """parse_tables(string source, list headers, table_index)

      headers may be a list of strings if the table has headers defined or

      headers may be a list of ints if no headers defined this will get data

      from the rows index.

      This method returns a list of lists

      """

      #Determine if the headers list is strings or ints and make sure they

      #are all the same type

      j = 0

      print 'Printing headers: ',headers

      #route to the correct function

      #if the header type is int

      if type(headers[0]) == type(1):

      #run no_header function

      return no_header(source, headers, table_index)

      #if the header type is string

      elif type(headers[0]) == type('a'):

      #run the header_given function

      return header_given(source, headers, table_index)

      else:

      #return none if the headers aren't correct

      return None

      #This function takes in the source code of the whole page a string list of

      #headers and the index number of the table on the page. It returns a list of

      #lists with the scraped information

      def header_given(source, headers, table_index):

      #initiate a list to hole the return list

      return_list = []

      #initiate a list to hold the index numbers of the data in the rows

      header_index = []

      #get a document object out of the source code

      doc = libxml2dom.parseString(source,html=1)

      #get the tables from the document

      tables = doc.getElementsByTagName('table')

      try:

      #try to get focue on the desired table

      main_table = tables[table_index]

      except:

      #if the table doesn't exits then return an error

      return ['The table index was not found']

      #get a list of headers in the table

      table_headers = main_table.getElementsByTagName('th')

      #need a sentry value for the header loop

      loop_sentry = 0

      #loop through each header looking for matches

      for header in table_headers:

      #if the header is in the desired headers list

      if header.textContent in headers:

      #add it to the header_index

      header_index.append(loop_sentry)

      #add one to the loop_sentry

      loop_sentry+=1

      #get the rows from the table

      rows = main_table.getElementsByTagName('tr')

      #sentry value detecting if the first row is being viewed

      row_sentry = 0

      #loop through the rows in the table, skipping the first row

      for row in rows:

      #if row_sentry is 0 this is our first row

      if row_sentry == 0:

      #make the row_sentry not 0

      row_sentry = 1337

      continue

      #get all cells from the current row

      cells = row.getElementsByTagName('td')

      #initiate a list to append into the return_list

      cell_list = []

      #iterate through all of the header index's

      for i in header_index:

      #append the cells text content to the cell_list

      cell_list.append(cells[i].textContent)

      #append the cell_list to the return_list

      return_list.append(cell_list)

      #return the return_list

      return return_list

      #This function takes in the source code of the whole page an int list of

      #headers indicating the index number of the needed item and the index number

      #of the table on the page. It returns a list of lists with the scraped info

      def no_header(source, headers, table_index):

      #initiate a list to hold the return list

      return_list = []

      #get a document object out of the source code

      doc = libxml2dom.parseString(source, html=1)

      #get the tables from document

      tables = doc.getElementsByTagName('table')

      try:

      #Try to get focus on the desired table

      main_table = tables[table_index]

      except:

      #if the table doesn't exits then return an error

      return ['The table index was not found']

      #get all of the rows out of the main_table

      rows = main_table.getElementsByTagName('tr')

      #loop through each row

      for row in rows:

      #get all cells from the current row

      cells = row.getElementsByTagName('td')

      #initiate a list to append into the return_list

      cell_list = []

      #loop through the list of desired headers

      for i in headers:

      try:

      #try to add text from the cell into the cell_list

      cell_list.append(cells[i].textContent)

      except:

      #if there is an error usually an index error just continue

      continue

      #append the data scraped into the return_list

      return_list.append(cell_list)

      #return the return list

      return return_list

      希望本文所述對大家的Python程序設計有所幫助。

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