python multiprocessing pickle attribute look up












0















i am trying to do multiprocessing as shown:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

p = Pool(2)
p.map(model, df3)


The above works perfectly. However, when I add in this:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

df4 = [x+ (df1 [x[0]][0],)+ (df1 [company[0]][1],) for x in df3 ]

p = Pool(2)
p.map(model, df4)


Now i get this error:



cPickle.PicklingError: Can't pickle <type 'function'>: attribute lookup __builtin__.function failed


I dont understand how that extra line makes it fail? There is no external function call.










share|improve this question

























  • you need to provide a Minimal, Complete, and Verifiable example.

    – georgexsh
    Nov 15 '18 at 7:10
















0















i am trying to do multiprocessing as shown:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

p = Pool(2)
p.map(model, df3)


The above works perfectly. However, when I add in this:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

df4 = [x+ (df1 [x[0]][0],)+ (df1 [company[0]][1],) for x in df3 ]

p = Pool(2)
p.map(model, df4)


Now i get this error:



cPickle.PicklingError: Can't pickle <type 'function'>: attribute lookup __builtin__.function failed


I dont understand how that extra line makes it fail? There is no external function call.










share|improve this question

























  • you need to provide a Minimal, Complete, and Verifiable example.

    – georgexsh
    Nov 15 '18 at 7:10














0












0








0








i am trying to do multiprocessing as shown:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

p = Pool(2)
p.map(model, df3)


The above works perfectly. However, when I add in this:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

df4 = [x+ (df1 [x[0]][0],)+ (df1 [company[0]][1],) for x in df3 ]

p = Pool(2)
p.map(model, df4)


Now i get this error:



cPickle.PicklingError: Can't pickle <type 'function'>: attribute lookup __builtin__.function failed


I dont understand how that extra line makes it fail? There is no external function call.










share|improve this question
















i am trying to do multiprocessing as shown:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

p = Pool(2)
p.map(model, df3)


The above works perfectly. However, when I add in this:



from multiprocessing import Pool
def main():
df1 = function1()
df2 = function2(df1)
df3 = list(df2.groupby('key')

df4 = [x+ (df1 [x[0]][0],)+ (df1 [company[0]][1],) for x in df3 ]

p = Pool(2)
p.map(model, df4)


Now i get this error:



cPickle.PicklingError: Can't pickle <type 'function'>: attribute lookup __builtin__.function failed


I dont understand how that extra line makes it fail? There is no external function call.







python multiprocessing pickle






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 15 '18 at 7:10









georgexsh

10.8k11338




10.8k11338










asked Nov 15 '18 at 3:30









skim8201skim8201

373




373













  • you need to provide a Minimal, Complete, and Verifiable example.

    – georgexsh
    Nov 15 '18 at 7:10



















  • you need to provide a Minimal, Complete, and Verifiable example.

    – georgexsh
    Nov 15 '18 at 7:10

















you need to provide a Minimal, Complete, and Verifiable example.

– georgexsh
Nov 15 '18 at 7:10





you need to provide a Minimal, Complete, and Verifiable example.

– georgexsh
Nov 15 '18 at 7:10












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