August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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57
3.6 SQL
...
ValueError: time data '1/2/2012 12:32:11' does not match
format '%Y/%m/%d %H:%M:%S'
そのため、ディクショナリの
data
リスト用に既知のフォーマットの日付フィールドを
datetime
に変換するには、次のように実行します。
for d in data:
try:
d['date'] = datetime.strptime(d['date'],\
'%Y/%m/%d %H:%M:%S')
except ValueError:
print('Oops! - invalid date for ' + repr(d))
2
つの最も人気のデータファイルフォーマットに対応できました。さらに大物に取り組みましょ
う。次は
SQL
や
NoSQL
データベースに対してデータを読み書きしてみましょう。
3.6
SQL
SQL
データベースとのやり取りには、
SQLAlchemy
が最も一般的です。私見では
SQLAlchemy
は最も優れた
Python
ライブラリです。速度と効率が重要であれば生の
SQL
命令を使いますが、
強力なオブジェクトリレーショナルマッピング（
ORM
：
Object-Relational Mapping
）も提供し、
高水準の
Python
らしい（
Pythonic
）
API
で
SQL
テーブルを操作でき、基本的に
SQL
テーブルを
Python
クラスとして扱えます。
SQL
を使ってデータを読み書きし、ユーザがそのデータを
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