我在遗传算法中构建突变过程以进行特征选择。 这是代码：
pm突变过程正在扭转这一局面。位1表示选定的功能，位0表示未选择的功能。
sum_mut是变异概率，total是变异的总和，2393是所有个体的总和加上来自交叉过程的后代。数字offspring是要素的总和。 KeyError Traceback (most recent call last)
<ipython-input-38-6f4580f1221c> in <module>()
8 mut_col = int(random.random()*2393)
9 offspring[mut_col][mut_row] ^= 1
---> 10 mutation(0.05)
11 offspring
<ipython-input-38-6f4580f1221c> in mutation(pm)
7 mut_row = int(random.random()*total)
8 mut_col = int(random.random()*2393)
----> 9 offspring[mut_col][mut_row] ^= 1
10 mutation(0.05)
11 offspring
C:\Users\HEWLETT PACKARD\Anaconda2\lib\site-packages\pandas\core\frame.pyc in __getitem__(self, key)
1962 return self._getitem_multilevel(key)
1963 else:
-> 1964 return self._getitem_column(key)
1965
1966 def _getitem_column(self, key):
C:\Users\HEWLETT PACKARD\Anaconda2\lib\site-packages\pandas\core\frame.pyc in _getitem_column(self, key)
1969 # get column
1970 if self.columns.is_unique:
-> 1971 return self._get_item_cache(key)
1972
1973 # duplicate columns & possible reduce dimensionality
C:\Users\HEWLETT PACKARD\Anaconda2\lib\site-packages\pandas\core\generic.pyc in _get_item_cache(self, item)
1643 res = cache.get(item)
1644 if res is None:
-> 1645 values = self._data.get(item)
1646 res = self._box_item_values(item, values)
1647 cache[item] = res
C:\Users\HEWLETT PACKARD\Anaconda2\lib\site-packages\pandas\core\internals.pyc in get(self, item, fastpath)
3588
3589 if not isnull(item):
-> 3590 loc = self.items.get_loc(item)
3591 else:
3592 indexer = np.arange(len(self.items))[isnull(self.items)]
C:\Users\HEWLETT PACKARD\Anaconda2\lib\site-packages\pandas\core\indexes\base.pyc in get_loc(self, key, method, tolerance)
2442 return self._engine.get_loc(key)
2443 except KeyError:
-> 2444 return self._engine.get_loc(self._maybe_cast_indexer(key))
2445
2446 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
KeyError: 2392L
是一个数据框，由所有个人和来自交叉过程的后代组成。
那段代码不起作用。这是错误的追溯：
var _enemy:Enemy;
_enemy = new Enemy(350,500);
addChild(_enemy);
enemyArray.push(_enemy);
for(var i:int = 0; i < enemyArray.length; i++)
{`enter code here`}
var _enemyFire:EnemyFire;
_enemyFire = new EnemyFire(_enemy.x, _enemy.y);
addChild(_enemyFire);
enemyAmmoArray.push(_enemyFire);
for(var ef:int = 0; ef < enemyAmmoArray.length; ef++)
{
_enemyFire = enemyAmmoArray[ef];
_enemyFire.enemyBulletMOV(0,5);
}