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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T01:03:19+00:00 2026-05-12T01:03:19+00:00

I would like to store large dataset generated in Python in a Django model.

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I would like to store large dataset generated in Python in a Django model. My idea was to pickle the data to a string and upload it to FileField of my model. My django model is:

#models.py
from django.db import models

class Data(models.Model):
    label = models.CharField(max_length=30)
    file = models.FileField(upload_to="data")

In my Python program I would like to do the following:

import random, pickle

data_entry = Data(label="somedata")
somedata = [random.random() for i in range(10000)]
# Next line does NOT work 
#data_entry.file.save(filename, pickle.dumps(somedata))

How should I modify the last line to store somedata in file preserving the paths defined with upload_to parameter?

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  1. Editorial Team
    Editorial Team
    2026-05-12T01:03:20+00:00Added an answer on May 12, 2026 at 1:03 am

    NOTE: See other answers and comments below – old info and broken links removed (can’t delete a once-accepted answer).

    Marty Alchin has a section on this in chapter 3 of Pro Django, review here.

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