我正在将一堆数据写入一个 excel 文件，到目前为止，我已经将所有数据导出到从第 1 行到第 36 行的每一行。每行包含 15 列数据，如下面的代码所示。我需要以某种方式将循环中第一个城市的数据发送到第 1 行，将第二个城市的数据发送到第 3 行，将第三个城市的数据发送到第 6 行，等等......我不能做类似的事情
row = row + 2
因为它们需要分配给预定的不均匀分布的行。
这是将数据发送到 excel 的脚本：
#!/usr/bin/env python
from xlutils.copy import copy
from xlrd import open_workbook
import canada
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_names = ["high0", "low1", "high1", "low2", "high2",
"low3", "high3", "low4", "high4", "low5",
"high5", "low6", "high6", "low7", "high7"]
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 row, city in enumerate(cities, start=1):
for column, col_name in enumerate(column_names, start=2):
sheet.write(row, column, getattr(city, col_name))
workbook.save(new_file_name)
我有 36 个城市都列在一个单独的脚本中（如下）这是“加拿大”的一部分，导入到上面的脚本中：
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'),
]
任何建议，将不胜感激。谢谢！