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python pickle example

import pickle
favorite_color = { "lion": "yellow", "kitty": "red" }
with open( "save.p", "wb" ) as f:
	pickle.dump( favorite_color, f)
with open( "save.p", "rb" ) as f:
	favorite_color = pickle.load(f)
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pickle.load python

import pickle
# load : get the data from file
data = pickle.load(open(file_path, "rb"))
# loads : get the data from var
data = pickle.load(var)
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pickle.dump python

import pickle
# dump : put the data of the object in a file
pickle.dump(obj, open(file_path, "wb"))
# dumps : return the object in bytes
data = pickle.dump(obj)
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pickle python

import pickle

a = {'hi': 'everybody'}

with open('filename.pickle', 'wb') as f:
    pickle.dump(a, f, protocol=pickle.HIGHEST_PROTOCOL)

with open('filename.pickle', 'rb') as f:
    b = pickle.load(f)
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python pickle module

# Python3 program to illustrate store 
# efficiently using pickle module 
# Module translates an in-memory Python object 
# into a serialized byte stream—a string of 
# bytes that can be written to any file-like object.
  
import pickle
  
def storeData():
    # initializing data to be stored in db
    Omkar = {'key' : 'Omkar', 'name' : 'Omkar Pathak',
    'age' : 21, 'pay' : 40000}
    Jagdish = {'key' : 'Jagdish', 'name' : 'Jagdish Pathak',
    'age' : 50, 'pay' : 50000}
  
    # database
    db = {}
    db['Omkar'] = Omkar
    db['Jagdish'] = Jagdish
      
    # Its important to use binary mode
    dbfile = open('examplePickle', 'ab')
      
    # source, destination
    pickle.dump(db, dbfile)                     
    dbfile.close()
  
def loadData():
    # for reading also binary mode is important
    dbfile = open('examplePickle', 'rb')     
    db = pickle.load(dbfile)
    for keys in db:
        print(keys, '=>', db[keys])
    dbfile.close()
  
if __name__ == '__main__':
    storeData()
    loadData()
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pickle python

   1 # Save a dictionary into a pickle file.
   2 import pickle
   3 
   4 favorite_color = { "lion": "yellow", "kitty": "red" }
   5 
   6 pickle.dump( favorite_color, open( "save.p", "wb" ) )
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