回答編集履歴
3
numpy を使う例を追記
test
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実行結果
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追記：
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numpy を import して、 arraym nan をつかったデータにして、処理をしました。
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nam かどうかの判定は isnan() を使います。
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参考:
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[nanの入れ替えをしたい](https://teratail.com/questions/92557)
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[noneとnumpy.nanの違い](http://shiriases.hatenablog.com/entry/2017/12/10/170605)
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```python3
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import numpy as np
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import pprint
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pp = pprint.PrettyPrinter(width=60, compact=True)
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data = np.array([
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[ 0., 25., 50., 75., 100.],
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[ 0., np.nan, np.nan, np.nan, np.nan],
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[ 0., 30., 60., 90., np.nan],
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[ 0., 150., 235., np.nan, np.nan]
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])
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pp.pprint(data)
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print()
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print()
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datax_dic = { "variablle{}".format(i + 1): [x for x in row if not np.isnan(x)]
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for i, row in enumerate(data)}
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pp.pprint(datax_dic)
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```
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実行例
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2
追記
test
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@@ -35,3 +35,55 @@
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実行例：
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追記：
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結果を list でなく、 dict にしました。
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[pprint](https://docs.python.jp/3/library/pprint.html) をつかって整形して表示するようにしました。
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```python3
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import pprint
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pp = pprint.PrettyPrinter(width=60, compact=True)
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data = [
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[ 0., 25., 50., 75., 100.],
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[ 0., None, None, None, None],
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[ 0., 30., 60., 90., None],
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[ 0., 150., 235., None, None]
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]
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pp.pprint(data)
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print()
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print()
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datax_dic = { "variablle{}".format(i + 1): [x for x in row if x is not None]
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for i, row in enumerate(data)}
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pp.pprint(datax_dic)
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```
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実行結果
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1
修正
test
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datax = [ ["variablle{}".format(i), [x for x in row if x is not None]] for i, row in enumerate(data)]
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datax = [ ["variablle{}".format(i + 1), [x for x in row if x is not None]] for i, row in enumerate(data)]
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print(datax)
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実行例：
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