我正在尝试将字典值映射到功能上的数据集。我不断收到以下错误：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-114-f1360d45f8fc> in <module>
----> 1 df['unit_value_factor_4'] = df.apply(map_value, axis=1)
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
6012 args=args,
6013 kwds=kwds)
-> 6014 return op.get_result()
6015
6016 def applymap(self, func):
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in get_result(self)
140 return self.apply_raw()
141
--> 142 return self.apply_standard()
143
144 def apply_empty_result(self):
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_standard(self)
246
247 # compute the result using the series generator
--> 248 self.apply_series_generator()
249
250 # wrap results
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_series_generator(self)
275 try:
276 for i, v in enumerate(series_gen):
--> 277 results[i] = self.f(v)
278 keys.append(v.name)
279 except Exception as e:
<ipython-input-113-2ec7fc46c34e> in map_value(row)
2 def map_value(row):
3 if row['RATING_CLASS_CODE'] == 'G':
----> 4 val = row['unit_value_model'].map(g_cn_value)
5
6 elif row['RATING_CLASS_CODE'] == 'CN':
AttributeError: ("'float' object has no attribute 'map'", 'occurred at index 40')
下面是函数。只需在每一行上查找RATING_CLASS_CODE，然后从字典中映射与与我的字典键匹配的unit_value_model相对应的值即可。
def map_value(row):
if row['RATING_CLASS_CODE'] == 'G':
val = row['unit_value_model'].map(g_cn_value)
elif row['RATING_CLASS_CODE'] == 'CN':
val = row['unit_value_model'].map(g_cn_value)
elif row['RATING_CLASS_CODE'] == 'NE':
val = row['unit_value_model'].map(ne_gv_value)
elif row['RATING_CLASS_CODE'] == 'GV':
val = row['unit_value_model'].map(ne_gv_value)
elif row['RATING_CLASS_CODE'] == 'LA':
val = row['unit_value_model'].map(la_coll_value)
else:
val = None
print(val)
return val
df['unit_value_factor_4'] = df.apply(map_value, axis=1)