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Can you use pickle in Append mode [duplicate]

How to use append with pickle in python?How can I represent an 'Enum' in Python?Difference between append vs. extend list methods in PythonHow can I safely create a nested directory in Python?How do you split a list into evenly sized chunks?How can I make a time delay in Python?“Least Astonishment” and the Mutable Default ArgumentUse of *args and **kwargsHow do you append to a file in Python?How to iterate over rows in a DataFrame in Pandas?Why is “1000000000000000 in range(1000000000000001)” so fast in Python 3?

0

This question already has an answer here:

• 
  How to use append with pickle in python?
  
  2 answers
  
  

Consider the following example

import pickle
 l1 = [1,2,3,4]
 l2 = [5,6,7,8]
 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
 fp.close()

 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
 fp.close()

 with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)

What would be the output or the value of b?

python python-3.x pickle

share|improve this question

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

marked as duplicate by martineau python
Users with the  python badge can single-handedly close python questions as duplicates and reopen them as needed.

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Mar 21 at 16:37

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  After 45s of search: Possible duplicate to stackoverflow.com/questions/12761991/…
  
  – AlexNe
  Mar 21 at 15:19
  
  

  
  
  
  


• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You could run the code and see what is the output of b.
  
  – Julia
  Mar 21 at 15:20
  

  
  
  
  

add a comment | 

0

This question already has an answer here:

• 
  How to use append with pickle in python?
  
  2 answers
  
  

Consider the following example

import pickle
 l1 = [1,2,3,4]
 l2 = [5,6,7,8]
 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
 fp.close()

 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
 fp.close()

 with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)

What would be the output or the value of b?

python python-3.x pickle

share|improve this question

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

marked as duplicate by martineau python
Users with the  python badge can single-handedly close python questions as duplicates and reopen them as needed.

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Mar 21 at 16:37

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  After 45s of search: Possible duplicate to stackoverflow.com/questions/12761991/…
  
  – AlexNe
  Mar 21 at 15:19
  
  

  
  
  
  


• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You could run the code and see what is the output of b.
  
  – Julia
  Mar 21 at 15:20
  

  
  
  
  

add a comment | 

This question already has an answer here:

• 
  How to use append with pickle in python?
  
  2 answers
  
  

Consider the following example

import pickle
 l1 = [1,2,3,4]
 l2 = [5,6,7,8]
 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
 fp.close()

 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
 fp.close()

 with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)

What would be the output or the value of b?

python python-3.x pickle

share|improve this question

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

import pickle
 l1 = [1,2,3,4]
 l2 = [5,6,7,8]
 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
 fp.close()

 with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
 fp.close()

 with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)

share|improve this question

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

New contributor

Dani Mazahreh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked Mar 21 at 15:14

Dani MazahrehDani Mazahreh

52

1 Answer
1

active

oldest

votes

1

I ran the following code:

import pickle
l1 = [1,2,3,4]
l2 = [5,6,7,8]
with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
fp.close()

with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
fp.close()

with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)
print(b)

And got the output [1, 2, 3, 4]. So, I guess the answer is yes.

share|improve this answer

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Easiest reputation points ever earned...
  
  – David Buck
  Mar 21 at 16:39
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @DavidBuck It used up my precious processing power.
  
  – Artemis Fowl
  Mar 23 at 20:41
  

  
  
  
  

add a comment | 

1

I ran the following code:

import pickle
l1 = [1,2,3,4]
l2 = [5,6,7,8]
with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
fp.close()

with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
fp.close()

with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)
print(b)

And got the output [1, 2, 3, 4]. So, I guess the answer is yes.

share|improve this answer

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Easiest reputation points ever earned...
  
  – David Buck
  Mar 21 at 16:39
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @DavidBuck It used up my precious processing power.
  
  – Artemis Fowl
  Mar 23 at 20:41
  

  
  
  
  

add a comment | 

1

I ran the following code:

import pickle
l1 = [1,2,3,4]
l2 = [5,6,7,8]
with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
fp.close()

with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
fp.close()

with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)
print(b)

And got the output [1, 2, 3, 4]. So, I guess the answer is yes.

share|improve this answer

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Easiest reputation points ever earned...
  
  – David Buck
  Mar 21 at 16:39
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @DavidBuck It used up my precious processing power.
  
  – Artemis Fowl
  Mar 23 at 20:41
  

  
  
  
  

add a comment | 

I ran the following code:

import pickle
l1 = [1,2,3,4]
l2 = [5,6,7,8]
with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
fp.close()

with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
fp.close()

with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)
print(b)

And got the output [1, 2, 3, 4]. So, I guess the answer is yes.

share|improve this answer

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

import pickle
l1 = [1,2,3,4]
l2 = [5,6,7,8]
with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l1, fp)
fp.close()

with open("test.txt", "ab") as fp: #Pickling
 pickle.dump(l2, fp)
fp.close()

with open("test.txt", "rb") as fp: # Unpickling
 b = pickle.load(fp)
print(b)

share|improve this answer

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328

answered Mar 21 at 16:17

Artemis FowlArtemis Fowl

1,55031328