pymongo cursor to Pandas dataframes

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.

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

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

add a comment |

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.

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

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

add a comment |

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.

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

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

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

edited Jan 2 at 10:25

meW

2,858120

edited Jan 2 at 10:25

meW

2,858120

edited Jan 2 at 10:25

meW

2,858120

asked Jan 2 at 10:12

Cerebration

asked Jan 2 at 10:12

Cerebration

asked Jan 2 at 10:12

Cerebration

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

add a comment |

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

add a comment |

1 Answer
1

active

oldest

votes

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

answered Jan 2 at 10:28

Samaksh Jain

36327

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

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

answered Jan 2 at 10:28

Samaksh Jain

36327

add a comment |

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

answered Jan 2 at 10:28

Samaksh Jain

36327

add a comment |

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

answered Jan 2 at 10:28

Samaksh Jain

36327

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

answered Jan 2 at 10:28

Samaksh Jain

36327

answered Jan 2 at 10:28

Samaksh Jain

36327

answered Jan 2 at 10:28

Samaksh Jain

36327

answered Jan 2 at 10:28

Samaksh Jain

36327

add a comment |

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