df = df_X_train
i = 1
col = df[str(cat_cols[i])].unique()
print 'outside loop'
print cat_cols[i]
print col
for i in range(len(cat_cols)):
print "inside loop"
print i, cat_cols[i]
col = df[str(cat_cols[i])].unique()
df = pre.create_df(col, cat_cols[i])
frames.append(df)
df_all_uniques = pd.concat(frames,axis = 1)
return df_all_uniques
这是我的python代码，访问该行中唯一的函数时出现错误
col = df[str(cat_cols[i])].unique()
当我在for循环外使用此行并将i值设置为1（i = 1）时，它工作正常，但是在for循环内它会抛出下面给出的关键错误。
outside loop
ISO
[u'FI' u'CH' u'DE' u'US' u'FR' u'IT' u'RU' u'CN' u'TR' u'GB' u'SE' u'CA'
u'NL' u'DK' u'CZ' u'IE' u'JP' u'TH' u'RO' u'VN' u'BE' u'MT' u'IN' u'SI'
u'ES' u'HK' u'GR' u'EE' u'MX' u'UA' u'LU' u'PH' u'HU' u'LT' u'MA' u'AE'
u'IL' u'NO' u'KZ' u'SG' u'LV' u'AT' u'PT' u'EG' u'DM' u'HR' u'DO' u'CY'
u'PL' u'ID' u'KW' u'AU' u'MY' u'TW' u'CU' u'LI' u'KR' u'TN' u'BY' u'BG'
u'SA' u'NZ' u'LK' u'AR' u'CL' u'IS' u'BR' u'MD']
inside loop
0 Business Deductible
inside loop
1 ISO
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-75-d81e43d4ec30> in <module>()
15 print "inside loop"
16 print i, cat_cols[i]
---> 17 col = df[str(cat_cols[i])].unique()
18 df = pre.create_df(col, cat_cols[i])
19 frames.append(df)
/usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in __getitem__(self, key)
2683 return self._getitem_multilevel(key)
2684 else:
-> 2685 return self._getitem_column(key)
2686
2687 def _getitem_column(self, key):
/usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in _getitem_column(self, key)
2690 # get column
2691 if self.columns.is_unique:
-> 2692 return self._get_item_cache(key)
2693
2694 # duplicate columns & possible reduce dimensionality
/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc in _get_item_cache(self, item)
2484 res = cache.get(item)
2485 if res is None:
-> 2486 values = self._data.get(item)
2487 res = self._box_item_values(item, values)
2488 cache[item] = res
/usr/local/lib/python2.7/dist-packages/pandas/core/internals.pyc in get(self, item, fastpath)
4113
4114 if not isna(item):
-> 4115 loc = self.items.get_loc(item)
4116 else:
4117 indexer = np.arange(len(self.items))[isna(self.items)]
/usr/local/lib/python2.7/dist-packages/pandas/core/indexes/base.pyc in get_loc(self, key, method, tolerance)
3063 return self._engine.get_loc(key)
3064 except KeyError:
-> 3065 return self._engine.get_loc(self._maybe_cast_indexer(key))
3066
3067 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.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'ISO'