在Python中将循环中的所有数据导出到Excel
我正在试图写一个Excel电子表格的数据列表。 我有Excel中的34列，我需要input数据。 第1列是city1，第2列是第2城市等…
这是我用来检索电子表格所需的所有数据的脚本。
#!usr/bin/env python import urllib from datetime import datetime from datetime import timedelta date = datetime.now() date1 = date + timedelta(days=1) date2 = date + timedelta(days=2) date3 = date + timedelta(days=3) date4 = date + timedelta(days=4) date5 = date + timedelta(days=5) date6 = date + timedelta(days=6) class city : def __init__(self, city_name, link) : self.name = city_name self.url = link self.high0 = 0 self.high1 = 0 self.high2 = 0 self.high3 = 0 self.high4 = 0 self.high5 = 0 self.high6 = 0 self.high7 = 0 self.low1 = 0 self.low2 = 0 self.low3 = 0 self.low4 = 0 self.low5 = 0 self.low6 = 0 self.low7 = 0 def retrieveTemps(self) : filehandle = urllib.urlopen(self.url) # get lines from result into array lines = filehandle.readlines() # (for each) loop through each line in lines line_number = 0 # a counter for line number for line in lines: line_number = line_number + 1 # increment counter # find string, position otherwise position is -1 position0 = line.rfind('title="{}"'.format(date.strftime("%A"))) position1 = line.rfind('title="{}"'.format(date1.strftime("%A"))) position2 = line.rfind('title="{}"'.format(date2.strftime("%A"))) position3 = line.rfind('title="{}"'.format(date3.strftime("%A"))) position4 = line.rfind('title="{}"'.format(date4.strftime("%A"))) position5 = line.rfind('title="{}"'.format(date5.strftime("%A"))) position6 = line.rfind('title="{}"'.format(date6.strftime("%A"))) if position0 > 0 : self.high0 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low1 = lines[line_number + 18].split('&')[0].split('>')[-1] if position1 > 0 : self.high1 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low2 = lines[line_number + 19].split('&')[0].split('>')[-1] if position2 > 0 : self.high2 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low3 = lines[line_number + 19].split('&')[0].split('>')[-1] if position3 > 0 : self.high3 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low4 = lines[line_number + 19].split('&')[0].split('>')[-1] if position4 > 0 : self.high4 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low5 = lines[line_number + 19].split('&')[0].split('>')[-1] if position5 > 0 : self.high5 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low6 = lines[line_number + 19].split('&')[0].split('>')[-1] self.low7 = lines[line_number + 19].split('&')[0].split('>')[-1] if position6 > 0 : self.high6 = lines[line_number + 4].split('&')[0].split('>')[-1] self.high7 = lines[line_number + 4].split('&')[0].split('>')[-1] break # done with loop, break out of it filehandle.close() #BRITISH COLUMBIA CITIES def getCities(): c1 = city('Prince George', 'http://www.weatheroffice.gc.ca/city/pages/bc-79_metric_e.html') c2 = city('Kamloops', 'http://www.weatheroffice.gc.ca/city/pages/bc-45_metric_e.html') c3 = city('Blue River', 'http://www.weatheroffice.gc.ca/city/pages/bc-22_metric_e.html') c4 = city('High Level', 'http://www.weatheroffice.gc.ca/city/pages/ab-24_metric_e.html') c5 = city('Peace River', 'http://www.weatheroffice.gc.ca/city/pages/ab-25_metric_e.html') c6 = city('Jasper', 'http://www.weatheroffice.gc.ca/city/pages/ab-70_metric_e.html') c7 = city('Edmonton', 'http://www.weatheroffice.gc.ca/city/pages/ab-50_metric_e.html') c8 = city('Calgary', 'http://www.weatheroffice.gc.ca/city/pages/ab-52_metric_e.html') #SASKATCHEWAN CITIES c9 = city('Biggar', 'http://www.weatheroffice.gc.ca/city/pages/sk-2_metric_e.html') c10 = city('Saskatoon', 'http://www.weatheroffice.gc.ca/city/pages/sk-40_metric_e.html') c11 = city('Melville', 'http://www.weatheroffice.gc.ca/city/pages/sk-8_metric_e.html') c12 = city('Canora', 'http://www.weatheroffice.gc.ca/city/pages/sk-3_metric_e.html') c13 = city('Yorkton', 'http://www.weatheroffice.gc.ca/city/pages/sk-33_metric_e.html') #MANITOBA CITIES c14 = city('Winnipeg', 'http://www.weatheroffice.gc.ca/city/pages/mb-38_metric_e.html') c15 = city('Sprague', 'http://www.weatheroffice.gc.ca/city/pages/mb-23_metric_e.html') #ONTARIO CITIES c16 = city('Thunder Bay', 'http://www.weatheroffice.gc.ca/city/pages/on-100_metric_e.html') c17 = city('Sioux Lookout', 'http://www.weatheroffice.gc.ca/city/pages/on-135_metric_e.html') c18 = city('Armstrong', 'http://www.weatheroffice.gc.ca/city/pages/on-111_metric_e.html') c19 = city('Hornepayne', 'http://www.weatheroffice.gc.ca/city/pages/on-78_metric_e.html') c20 = city('Sudbury', 'http://www.weatheroffice.gc.ca/city/pages/on-40_metric_e.html') c21 = city('South Parry', 'http://www.weatheroffice.gc.ca/city/pages/on-103_metric_e.html') c22 = city('Toronto', 'http://www.weatheroffice.gc.ca/city/pages/on-143_metric_e.html') c23 = city('Kingston', 'http://www.weatheroffice.gc.ca/city/pages/on-69_metric_e.html') c24 = city('Cornwall', 'http://www.weatheroffice.gc.ca/city/pages/on-152_metric_e.html') #QUEBEC CITIES c25 = city('Montreal', 'http://www.weatheroffice.gc.ca/city/pages/qc-147_metric_e.html') c26 = city('Quebec', 'http://www.weatheroffice.gc.ca/city/pages/qc-133_metric_e.html') c27 = city('La Tuque', 'http://www.weatheroffice.gc.ca/city/pages/qc-154_metric_e.html') c28 = city('Saguenay', 'http://www.weatheroffice.gc.ca/city/pages/qc-166_metric_e.html') c29 = city('Riviere-du-loup', 'http://www.weatheroffice.gc.ca/city/pages/qc-108_metric_e.html') #NOVA SCOTIA CITIES c30 = city('Truro', 'http://www.weatheroffice.gc.ca/city/pages/ns-25_metric_e.html') c31 = city('Halifax', 'http://www.weatheroffice.gc.ca/city/pages/ns-19_metric_e.html') #NEW BRUNSWICK CITIES c32 = city('Edmundston', 'http://www.weatheroffice.gc.ca/city/pages/nb-32_metric_e.html') c33 = city('Moncton', 'http://www.weatheroffice.gc.ca/city/pages/nb-36_metric_e.html') c34 = city('Sarnia', 'http://www.weatheroffice.gc.ca/city/pages/on-147_metric_e.html') cities = [] cities.append(c1) cities.append(c2) cities.append(c3) cities.append(c4) cities.append(c5) cities.append(c6) cities.append(c7) cities.append(c8) cities.append(c9) cities.append(c10) cities.append(c11) cities.append(c12) cities.append(c13) cities.append(c14) cities.append(c15) cities.append(c16) cities.append(c17) cities.append(c18) cities.append(c19) cities.append(c20) cities.append(c21) cities.append(c22) cities.append(c23) cities.append(c24) cities.append(c25) cities.append(c26) cities.append(c27) cities.append(c28) cities.append(c29) cities.append(c30) cities.append(c31) cities.append(c32) cities.append(c33) cities.append(c34) return (cities) 然后我运行这个脚本将所有数据导出到一个excel文件中：
#!/usr/bin/env python from xlutils.copy import copy from xlrd import open_workbook import canada #import os #os.chdir("/data/ops/Ops Documents/MexTemps") cities = canada.getCities() for c in cities : c.retrieveTemps() ## # writing to excel ## file_name = 'fcst_hilo_TEST.xls' new_file_name = 'fcst_hilo.xls' row = 1 # column constants high0_col = 1 low1_col = 2 high1_col = 3 low2_col = 4 high2_col = 5 low3_col = 6 high3_col = 7 low4_col = 8 high4_col = 9 low5_col = 10 high5_col = 11 low6_col = 12 high6_col = 13 low7_col = 14 high7_col = 15 workbook_file = None try : # currently xlwt does not implement this option for xslx files workbook_file = open_workbook(file_name, formatting_info=True) except : workbook_file = open_workbook(file_name) workbook = copy(workbook_file) sheet = workbook.get_sheet(0) for c in cities : sheet.write(row, high0_col, c.high0) sheet.write(row, low1_col, c.low1) sheet.write(row, high1_col, c.high1) sheet.write(row, low2_col, c.low2) sheet.write(row, high2_col, c.high2) sheet.write(row, low3_col, c.low3) sheet.write(row, high3_col, c.high3) sheet.write(row, low4_col, c.low4) sheet.write(row, high4_col, c.high4) sheet.write(row, low5_col, c.low5) sheet.write(row, high5_col, c.high5) sheet.write(row, low6_col, c.low6) sheet.write(row, high6_col, c.high6) sheet.write(row, low7_col, c.low7) sheet.write(row, high7_col, c.high7) workbook.save(new_file_name)
当我运行这个脚本时，它把最后一个城市（c34）的所有数据input到第一行（应该是c1，第一个城市）。 它正在运行第一个脚本中的循环，但只会将遇到的最后一行导出到Excel电子表格中。 有关如何让它input循环中的所有数据的任何想法？ 谢谢！
编辑：
我需要做的最后一件事是将每个城市分配到一个单独的列。 例如：“城市1”将需要去第2列，“城市2”到第4列，“城市3”到第8列等…任何想法？
这将有助于：
class city(object): def __init__(self, city_name, link) : self.name = city_name self.url = link self.high0 = 0 self.high1 = 0 self.high2 = 0 self.high3 = 0 self.high4 = 0 self.high5 = 0 self.high6 = 0 self.high7 = 0 self.low1 = 0 self.low2 = 0 self.low3 = 0 self.low4 = 0 self.low5 = 0 self.low6 = 0 self.low7 = 0 def retrieveTemps(self) : filehandle = urllib.urlopen(self.url) # get lines from result into array lines = filehandle.readlines() filehandle.close() # (for each) loop through each line in lines for line_number, line in enumerate(lines, start=1): # find string, position otherwise position is -1 position0 = line.rfind('title="{}"'.format(date.strftime("%A"))) position1 = line.rfind('title="{}"'.format(date1.strftime("%A"))) position2 = line.rfind('title="{}"'.format(date2.strftime("%A"))) position3 = line.rfind('title="{}"'.format(date3.strftime("%A"))) position4 = line.rfind('title="{}"'.format(date4.strftime("%A"))) position5 = line.rfind('title="{}"'.format(date5.strftime("%A"))) position6 = line.rfind('title="{}"'.format(date6.strftime("%A"))) if position0 > 0 : self.high0 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low1 = lines[line_number + 18].split('&')[0].split('>')[-1] if position1 > 0 : self.high1 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low2 = lines[line_number + 19].split('&')[0].split('>')[-1] if position2 > 0 : self.high2 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low3 = lines[line_number + 19].split('&')[0].split('>')[-1] if position3 > 0 : self.high3 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low4 = lines[line_number + 19].split('&')[0].split('>')[-1] if position4 > 0 : self.high4 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low5 = lines[line_number + 19].split('&')[0].split('>')[-1] if position5 > 0 : self.high5 = lines[line_number + 4].split('&')[0].split('>')[-1] self.low6 = lines[line_number + 19].split('&')[0].split('>')[-1] self.low7 = lines[line_number + 19].split('&')[0].split('>')[-1] if position6 > 0 : self.high6 = lines[line_number + 4].split('&')[0].split('>')[-1] self.high7 = lines[line_number + 4].split('&')[0].split('>')[-1] break # done with loop, break out of it def getCities(): return [ #BRITISH COLUMBIA CITIES city('Prince George', 'http://www.weatheroffice.gc.ca/city/pages/bc-79_metric_e.html'), city('Kamloops', 'http://www.weatheroffice.gc.ca/city/pages/bc-45_metric_e.html'), city('Blue River', 'http://www.weatheroffice.gc.ca/city/pages/bc-22_metric_e.html'), # Alberta city('High Level', 'http://www.weatheroffice.gc.ca/city/pages/ab-24_metric_e.html'), city('Peace River', 'http://www.weatheroffice.gc.ca/city/pages/ab-25_metric_e.html'), city('Jasper', 'http://www.weatheroffice.gc.ca/city/pages/ab-70_metric_e.html'), city('Edmonton', 'http://www.weatheroffice.gc.ca/city/pages/ab-50_metric_e.html'), city('Calgary', 'http://www.weatheroffice.gc.ca/city/pages/ab-52_metric_e.html'), #SASKATCHEWAN CITIES city('Biggar', 'http://www.weatheroffice.gc.ca/city/pages/sk-2_metric_e.html'), city('Saskatoon', 'http://www.weatheroffice.gc.ca/city/pages/sk-40_metric_e.html'), city('Melville', 'http://www.weatheroffice.gc.ca/city/pages/sk-8_metric_e.html'), city('Canora', 'http://www.weatheroffice.gc.ca/city/pages/sk-3_metric_e.html'), city('Yorkton', 'http://www.weatheroffice.gc.ca/city/pages/sk-33_metric_e.html'), #MANITOBA CITIES city('Winnipeg', 'http://www.weatheroffice.gc.ca/city/pages/mb-38_metric_e.html'), city('Sprague', 'http://www.weatheroffice.gc.ca/city/pages/mb-23_metric_e.html'), #ONTARIO CITIES city('Thunder Bay', 'http://www.weatheroffice.gc.ca/city/pages/on-100_metric_e.html'), city('Sioux Lookout', 'http://www.weatheroffice.gc.ca/city/pages/on-135_metric_e.html'), city('Armstrong', 'http://www.weatheroffice.gc.ca/city/pages/on-111_metric_e.html'), city('Hornepayne', 'http://www.weatheroffice.gc.ca/city/pages/on-78_metric_e.html'), city('Sudbury', 'http://www.weatheroffice.gc.ca/city/pages/on-40_metric_e.html'), city('South Parry', 'http://www.weatheroffice.gc.ca/city/pages/on-103_metric_e.html'), city('Toronto', 'http://www.weatheroffice.gc.ca/city/pages/on-143_metric_e.html'), city('Kingston', 'http://www.weatheroffice.gc.ca/city/pages/on-69_metric_e.html'), city('Cornwall', 'http://www.weatheroffice.gc.ca/city/pages/on-152_metric_e.html'), city('Sarnia', 'http://www.weatheroffice.gc.ca/city/pages/on-147_metric_e.html'), #QUEBEC CITIES city('Montreal', 'http://www.weatheroffice.gc.ca/city/pages/qc-147_metric_e.html'), city('Quebec', 'http://www.weatheroffice.gc.ca/city/pages/qc-133_metric_e.html'), city('La Tuque', 'http://www.weatheroffice.gc.ca/city/pages/qc-154_metric_e.html'), city('Saguenay', 'http://www.weatheroffice.gc.ca/city/pages/qc-166_metric_e.html'), city('Riviere-du-loup', 'http://www.weatheroffice.gc.ca/city/pages/qc-108_metric_e.html'), #NOVA SCOTIA CITIES city('Truro', 'http://www.weatheroffice.gc.ca/city/pages/ns-25_metric_e.html'), city('Halifax', 'http://www.weatheroffice.gc.ca/city/pages/ns-19_metric_e.html'), #NEW BRUNSWICK CITIES city('Edmundston', 'http://www.weatheroffice.gc.ca/city/pages/nb-32_metric_e.html'), city('Moncton', 'http://www.weatheroffice.gc.ca/city/pages/nb-36_metric_e.html'), ]
而你绝对需要这个：
for row, c in enumerate(cities, start=1):
它看起来不像循环中增加行，所以这将解决这个问题。
我最初回答了你之前提出的问题（我已经阅读了足够多的评论以了解潜在的问题，而不是说你会提出另一个问题）。 hughdbrown的答案的第二个代码块显示了关键的洞察力，您应该使用enumerate调用来处理您的row值。 以下是我的进一步build议：
如果使用循环，使用另一个枚举和getattr函数，也可以使列复制代码更简单：
column_names = ["high0", "low1", "high1", "low2", "high2", "low3", "high3", "low4", "high4", "low5", "high5", "low6", "high6", "low7", "high7"] # ... for row, city in enumerate(cities, start=1): for column, col_name in enumerate(column_names, start=1): sheet.write(row, column, getattr(city, col_name))
编辑：进一步的改进可能是让city实例直接迭代，所以你不需要通过getattr跳过。 这是一个粗略的方法来做到这一点：
class city: # note, if you're using Python 2, you should inherit from object # other stuff def __iter__(self): return iter([self.high0, self.low1, self.high1, self.low2, self.high2, self.low3, self.high3, self.low4, self.high4, self.low5, self.high5, self.low6, self.high6, self.low7, self.high7])
更好的解决scheme是取消命名属性，而是使用列表作为类中的基础数据结构。 至less，如果你仍然需要能够使用属性语法，那就更加复杂了：
class city: def __init__(city_name, link) : self.name = city_name self.url = link self.data = [0] * 15 def _attr_index(self, name): """Translate an name into an integer index, or raise an exception""" if name.startswith("high") and len(name) == 5: n = int(name[-1]) if 0 <= n <= 7: return n*2 # even indexes 0-14 if name.startswith("low") and len(name) == 4: n = int(name[-1]) if 1 <= n <= 7: return n*2 - 1 # odd indexes 1-13 raise ValueError() def __getattr__(self, name): try: return self.data[self._attr_index(name)] except ValueError: return super().__getattr__(name) # should raise an AttributeError def __setattr__(self, name, value): try: self.data[self._attr_index(name)] = value except ValueError: super().__setattr__(name, value) # will do a regular assignemnt def __iter__(self): return iter(self.data) # other stuff
使用其中之一，脚本中的代码将变得非常简单：
for row, city in enumerate(cities, start=1): for column, value in enumerate(city, start=1): sheet.write(row, column, value)