0

私はnumpy配列を持っています:

array([  2.86656000e+09,   2.86688000e+09,   2.86708000e+09,
     2.86860000e+09,   2.86884000e+09,   2.86908000e+09,
     2.86920000e+09,   2.87024000e+09,   2.87040000e+09,
     2.87056000e+09,   2.87076000e+09,   2.87108000e+09,
     2.87120000e+09,   2.87152000e+09,   2.87260000e+09,
     2.87272000e+09,   2.87280000e+09,   2.87448000e+09,
     2.87464000e+09,   2.87476000e+09,   2.87484000e+09])

同様の値をグループ化する最良の方法は何ですか (たとえば、差が 1000000 ほど大きくない)? 答えてくれてありがとう!!

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1 に答える 1

4

コメントにリンクされているソリューションの代替として、次のようなものが機能するはずです。

In [1]: import numpy as np

In [2]: arr = np.array([  2.86656000e+09,   2.86688000e+09,   2.86708000e+09,
   ...:      2.86860000e+09,   2.86884000e+09,   2.86908000e+09,
   ...:      2.86920000e+09,   2.87024000e+09,   2.87040000e+09,
   ...:      2.87056000e+09,   2.87076000e+09,   2.87108000e+09,
   ...:      2.87120000e+09,   2.87152000e+09,   2.87260000e+09,
   ...:      2.87272000e+09,   2.87280000e+09,   2.87448000e+09,
   ...:      2.87464000e+09,   2.87476000e+09,   2.87484000e+09])

In [3]: np.split(arr, np.where(np.diff(arr) > 1000000)[0] + 1)
Out[3]: 
[array([  2.86656000e+09,   2.86688000e+09,   2.86708000e+09]),
 array([  2.86860000e+09,   2.86884000e+09,   2.86908000e+09,
         2.86920000e+09]),
 array([  2.87024000e+09,   2.87040000e+09,   2.87056000e+09,
         2.87076000e+09,   2.87108000e+09,   2.87120000e+09,
         2.87152000e+09]),
 array([  2.87260000e+09,   2.87272000e+09,   2.87280000e+09]),
 array([  2.87448000e+09,   2.87464000e+09,   2.87476000e+09,
         2.87484000e+09])]
于 2013-02-10T22:03:06.000 に答える