python - Python でループ内のすべてのデータを Excel にエクスポートする

Question

データのリストを Excel スプレッドシートに書き込もうとしています。そのデータを入力する必要がある Excel に 34 列あります。列 1 は都市 1、列 2 は都市 2、など...

これは、スプレッドシートに必要なすべてのデータを取得するために使用するスクリプトです。

#!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)

次に、このスクリプトを実行して、すべてのデータを Excel ファイルにエクスポートします。

#!/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)

このスクリプトを実行すると、最後の都市 (c34) のすべてのデータが最初の行 (最初の都市である c1 のはずです) に入力されます。最初のスクリプトのループを実行していますが、遭遇した最後の行のみを Excel スプレッドシートにエクスポートしています。ループ内のすべてのデータを入力する方法についてのアイデアはありますか? ありがとう！

編集：

最後に、各都市を個別の列に割り当てます。例: "city1" は列 2、"city2" は列 4、"city3" は列 8 などに移動する必要があります。何かアイデアはありますか?

score 1 · Accepted Answer

これは役立ちます：

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'),
        ]

そして、あなたは間違いなくこれが必要です：

for row, c in enumerate(cities, start=1):

ループで行をインクリメントしているようには見えないので、これで修正されます。

python - Python でループ内のすべてのデータを Excel にエクスポートする

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