带有字典python

如何解决带有字典python

我有3列（DM1_ID，DM2_ID，对）熊猫数据帧，具有100万条记录。此外，我还有一个包含键和多个值的字典。该函数检查字典值并获取键并将该键放在new_ID字段中。该功能对于熊猫数据框的一小部分工作正常，但是当我将其应用于整个数据框时，会出现“ stopiteration”错误。

        DM1_ID      DM2_ID       pairs
86503   11945.0     11945.0     [11945.0,11945.0]
86504   11945.0     362380.0    [11945.0,362380.0]
86505   11945.0     538395.0    [11945.0,538395.0]
86506   538395.0    591587.0    [11945.0,591587.0]
86507   11946.0     11946.0     [11946.0,11946.0]
86508   362380.0    200589       [362380.0,200589.0]
86509   564785.0    11946.0     [564785.0,11946.0]

f = lambda x: next(k for k,v in jdic.items() if any(i in v for i in x))

jdic = {10045: [1,6,7,10045,15,45,55,80],11945: [11945,362380,20589,10,27,538395,591587],3: [3,21,28,32,35],11946: [11946,39,564785]}


largeFile13000['new_ID'] = largeFile13000['pairs'].apply(f)
largeFile13000.drop('pairs',axis=1,inplace=True)
largeFile13000.head()


# final result I'm expecting is
        DM1_ID     DM2_ID        new_ID
86503   11945.0    11945.0       11945
86504   11945.0    362380.0      11945
86505   11945.0    538395.0      11945
86506   538395.0   591587.0      11945
86507   11946.0    11946.0       11946  
86508   362380.0   200589        11945
86509   564785.0   11946.0       11946




# error

stopiteration                             Traceback (most recent call last)
<ipython-input-14-ddbcd19d6baa> in <module>
----> 1 largeFile13000['new_ID'] = largeFile13000['pairs'].apply(f)
      2 largeFile13000.drop('pairs',inplace=True)
      3 largeFile13000.head()

c:\users\ravindu\appdata\local\programs\python\python37\lib\site-packages\pandas\core\series.py in apply(self,func,convert_dtype,args,**kwds)
   3589             else:
   3590                 values = self.astype(object).values
-> 3591                 mapped = lib.map_infer(values,f,convert=convert_dtype)
   3592 
   3593         if len(mapped) and isinstance(mapped[0],Series):

pandas\_libs\lib.pyx in pandas._libs.lib.map_infer()

<ipython-input-12-b4ce01c34c30> in <lambda>(x)
----> 1 f = lambda x: next(k for k,v in jdic.items() if any(i in v for i in x))

stopiteration:

有人可以帮助我解决此问题吗？预先感谢。

解决方法

从您的数据来看，基本上您只需要查找一列，例如“ DM1_ID”，因为对应的“ DM2_ID”应该属于jdic中的相同键。在这种情况下，这很容易做到。我只想把你的字典翻过来。

jdic = {10045: [1,6,7,10045,15,45,55,80],11945: [11945,362380,20589,10,27,538395,591587],3: [3,21,28,32,35],11946: [11946,39,564785]}

ndic = {}
for key in jdic:
    for i in jdic[key]:
        ndic[i] = key

然后应用条件。

largeFile13000['new_ID'] = largeFile13000['DM1_ID'].apply(lambda x: ndic[x])

顺便说一句，我不知道您是否有任何特定的理由以这种方式构造字典jdic。对于这种显然多对一的关系，最好使用“许多”一侧作为键。

如何解决带有字典python

解决方法

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