Data Structure ?
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Data Structure ?
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README.md
文脈
ここにあるデータセットは、Pythonを使ってNSEからウェブスクレイピングした1000以上のインド企業の過去の株式データのCSV（カンマ区切り値）形式のデータです。このデータは、機械学習技術を使ったアルゴリズムトレードに取り組むコミュニティに役立ち、あらゆるタスクに使用できます。皆さんにとって大いに役立つことを願っています。
内容
このデータセット（.zip）は、['日付', '始値', '高値', '安値', '終値', '調整後終値', '出来高']の形式の多数のCSV形式のファイルの集合です。私はPythonのrequestsライブラリを使ってYahooファイナンスv7サーバーからこのデータを取得し、少し前処理を行いました。
- Maruti_data.csvは、2003年7月から現在（2018年2月18日更新）までのマルチ株式データのサンプルデータです。
- Companies_dict.dは、CSVファイルのシンボルまたは名前から企業名を取得するためのPythonのピクル辞書変数です。pickleライブラリを使ってこれを読み込み、実際の企業のシンボルから正式名称を取得することができます。
`例：Pythonコード`
` Symbol2Name = pickle.load(open('company_symbol_name_dict.d','rb'))`
`print(Symbol2Name['MARUTI']) # マルチ・スズキ・インディア・リミテッドが出力されます`
謝辞
私のこのスクリプトが基になっているPythonファイルを作成してくれたこの[githubリポジトリ](https://github.com/sjev/trading-with-python.git)に感謝したいと思います。
啓発
私のような多くの人がこのデータを活用し、企業間の相互関係を効果的に調べる姿を見たいです。
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