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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119
5.4 ライブラリを使った Web API へのアクセス
41 non-null object
average basic reproductive rate 41 non-null object
case fatality rate 41 non-null object
infectious dose 41 non-null object
...
upper R0 41 non-null object
viral load in acute stage 41 non-null object
yearly fatalities 41 non-null object
dtypes: object(23)
memory usage: 7.7+ KB
11
章では、
DataFrame
のデータを対話的に調べる方法を説明します。
5.4.2
Tweepy
による
Twitter API
の使用
ソーシャルメディアの出現で多くのデータが生成され、ソーシャルネットワーク、話題になっ
ているハッシュタグ、マスコミの騒ぎなどを可視化することに関心が向けられています。
Twitter
のブロードキャストネットワークは素晴らしいデータ可視化の最も豊富な情報源です。
Twitter
の
API
はユーザ、ハッシュタグ、日付などでフィルタリングしたツイートを提供します
†
。
Python
の
Tweepy
は、
Twitter
のライブ更新のストリーミングのための
StreamListener
など多
数の便利な機能を提供する
Twitter
ライブラリです。
T
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.