pymongo cursor to Pandas dataframes












0















I need to convert my mongodb cursor to pandas dataframe. I want to avoid the use of lists directly using data = list(collection.find()) but it goes out of memory, occupies a lot of memory. suggest me an efficient way to use lists or an alternative solution for this.



I have used a list to convert in pandas dataframe. It goes out of memory and stops the execution.



collection = db.get_collection('xxxyyyzzz')

data = collection.find()

for i in data:

   lst = pd.DataFrame(list.append(data))


I want to convert cursor to dataframe.






python python-3.x mongodb pandas dataframe







share|improve this question

























  • What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

    – jalazbe
    Jan 2 at 10:26
















0















I need to convert my mongodb cursor to pandas dataframe. I want to avoid the use of lists directly using data = list(collection.find()) but it goes out of memory, occupies a lot of memory. suggest me an efficient way to use lists or an alternative solution for this.



I have used a list to convert in pandas dataframe. It goes out of memory and stops the execution.



collection = db.get_collection('xxxyyyzzz')

data = collection.find()

for i in data:

   lst = pd.DataFrame(list.append(data))


I want to convert cursor to dataframe.






python python-3.x mongodb pandas dataframe







share|improve this question

























  • What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

    – jalazbe
    Jan 2 at 10:26














0












0








0








I need to convert my mongodb cursor to pandas dataframe. I want to avoid the use of lists directly using data = list(collection.find()) but it goes out of memory, occupies a lot of memory. suggest me an efficient way to use lists or an alternative solution for this.



I have used a list to convert in pandas dataframe. It goes out of memory and stops the execution.



collection = db.get_collection('xxxyyyzzz')

data = collection.find()

for i in data:

   lst = pd.DataFrame(list.append(data))


I want to convert cursor to dataframe.






python python-3.x mongodb pandas dataframe







share|improve this question
















I need to convert my mongodb cursor to pandas dataframe. I want to avoid the use of lists directly using data = list(collection.find()) but it goes out of memory, occupies a lot of memory. suggest me an efficient way to use lists or an alternative solution for this.



I have used a list to convert in pandas dataframe. It goes out of memory and stops the execution.



collection = db.get_collection('xxxyyyzzz')

data = collection.find()

for i in data:

   lst = pd.DataFrame(list.append(data))


I want to convert cursor to dataframe.






python python-3.x mongodb pandas dataframe




python python-3.x mongodb pandas dataframe






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 2 at 10:25









meW

2,858120




2,858120










asked Jan 2 at 10:12









CerebrationCerebration

11




11













  • What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

    – jalazbe
    Jan 2 at 10:26



















  • What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

    – jalazbe
    Jan 2 at 10:26

















What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

– jalazbe
Jan 2 at 10:26





What is the size of the collection? You may want to open a chucksize, process it, then open another chunk, ...

– jalazbe
Jan 2 at 10:26












1 Answer
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You can use yield to iterate over the cursor. Read more here. Basically yield would process one item at a time, rather than saving everything in a memory.



def get_cursor():

    collection = db.get_collection('xxxyyyzzz')

    return collection.find()



def get_data_frames(cursor):

    for a_document in cursor:

        yield pd.DataFrame(list.append(data))



cursor = get_cursor()



for df in get_data_frames(cursor):

    // Do whatever





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    1 Answer
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    active

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    0














    You can use yield to iterate over the cursor. Read more here. Basically yield would process one item at a time, rather than saving everything in a memory.



    def get_cursor():
    
    collection = db.get_collection('xxxyyyzzz')
    
    return collection.find()
    

    
def get_data_frames(cursor):
    
    for a_document in cursor:
    
        yield pd.DataFrame(list.append(data))
    

    
cursor = get_cursor()
    

    
for df in get_data_frames(cursor):
    
    // Do whatever





    share|improve this answer




























      0














      You can use yield to iterate over the cursor. Read more here. Basically yield would process one item at a time, rather than saving everything in a memory.



      def get_cursor():
      
    collection = db.get_collection('xxxyyyzzz')
      
    return collection.find()
      

      
def get_data_frames(cursor):
      
    for a_document in cursor:
      
        yield pd.DataFrame(list.append(data))
      

      
cursor = get_cursor()
      

      
for df in get_data_frames(cursor):
      
    // Do whatever





      share|improve this answer


























        0












        0








        0







        You can use yield to iterate over the cursor. Read more here. Basically yield would process one item at a time, rather than saving everything in a memory.



        def get_cursor():
        
    collection = db.get_collection('xxxyyyzzz')
        
    return collection.find()
        

        
def get_data_frames(cursor):
        
    for a_document in cursor:
        
        yield pd.DataFrame(list.append(data))
        

        
cursor = get_cursor()
        

        
for df in get_data_frames(cursor):
        
    // Do whatever





        share|improve this answer













        You can use yield to iterate over the cursor. Read more here. Basically yield would process one item at a time, rather than saving everything in a memory.



        def get_cursor():
        
    collection = db.get_collection('xxxyyyzzz')
        
    return collection.find()
        

        
def get_data_frames(cursor):
        
    for a_document in cursor:
        
        yield pd.DataFrame(list.append(data))
        

        
cursor = get_cursor()
        

        
for df in get_data_frames(cursor):
        
    // Do whatever






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 2 at 10:28









        Samaksh JainSamaksh Jain

        36327




        36327
































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