September 2013
Intermediate to advanced
264 pages
5h
Chinese
Content preview from Bad Data 技術手冊
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第五章：（重新）組織網站的資料
'ba_plus_12',
'ba_plus_24',
'ma_degree',
'ma_plus_12',
'ma_plus_24',
'phd_degree',
'degree_total',
'emergency_cert',
'poverty_high',
'poverty_low',
'poverty_total',
]
fout.writerow(header)
for district in district_pages:
parsed_dict = scrape_teacher_quality(district, cache_dir='data')
#
❷
if parsed_dict is not None:
fout.writerow(parsed_dict['data'])
else:
errorlog.write('Error parsing district %s (%s)' % district)
del(fout)
del(errorlog)
❶
Python 的
csv
套件，對於處理文字檔案中的跳脫字元以及其他任何可能很煩人的工作
都能做得很好，也是比直接寫入字串還要更好的選擇。
❷
若你想要從頁面上抽取其他表格，只要在表格的語法分析函式裡呼叫函式即可。
這是基於每個頁面的表格都是相同的強烈前提而製作的。不一定每次都
會是這樣，所以你應該要在一個
dict
或是類似物件中以鍵值對的方式
儲存值。
真實狀況的困難
我花了數年的時間在一個有名的商業學校擔任全職的研究助理。工作的其中一部份包含 ...
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