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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181
8.4 DataFrame
す。
In [5] df.ix[2] # df.iloc[2]
と同じ
Out[5]:
...
name Vladimir Prelog *
...
In [6] df = df.set_index('name') #
インデックスは名前文字列になる
In [7] df.ix['Albert Einstein'] # == df.loc['Albert Einstein']
Out[7]:
...
Name: Albert Einstein, dtype: object
In [8] df.ix[2] # +iloc+
のデフォルトの数値アクセス
Out[8]:
...
name Vladimir Prelog *
ix
メソッドは便利ですが、整数軸と共に使うと混乱してしまうかもしれません。危険なら、明
示的に
loc
か
iloc
を使うとよいでしょう。
ドット表記
†
やキーワード文字列による従来型の配列アクセスを使って
DataFrame
の列を取得
し、
DataFrame
のインデックスを維持した全列フィールドを持つ
pandas
の
Series
を返します。
In [9] gender_col = df.gender #
または、
df['gender']
In [10] type(gender_col)
Out[10] pandas.core.series.Series
In [11] gender_col.head() # Series
の最初の
5
つの項目を取得する
Out[11]:
0 male #
インデックス、オブジェクト ...
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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.