Mixing
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.
python python-3.x mongodb pandas dataframe
edited Jan 2 at 10:25
meW
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
11
add a comment |
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
edited Jan 2 at 10:25
meW
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
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
add a comment |
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
edited Jan 2 at 10:25
meW
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
11
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
edited Jan 2 at 10:25
meW
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
11
edited Jan 2 at 10:25
meW
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
11
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
2,858120
asked Jan 2 at 10:12
CerebrationCerebration
11
asked Jan 2 at 10:12
CerebrationCerebration
11
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
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
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 JainSamaksh Jain
36327
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
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 JainSamaksh 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 JainSamaksh 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 JainSamaksh 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 JainSamaksh Jain
36327
answered Jan 2 at 10:28
Samaksh JainSamaksh Jain
36327
answered Jan 2 at 10:28
Samaksh JainSamaksh Jain
36327
answered Jan 2 at 10:28
Samaksh JainSamaksh Jain
36327
36327
add a comment |
add a comment |
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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