I am getting an interesting error while trying to use Unpickler.load(), here is the source code:

open(target, 'a').close()
scores = {};
with open(target, "rb") as file:
    unpickler = pickle.Unpickler(file);
    scores = unpickler.load();
    if not isinstance(scores, dict):
        scores = {};

Here is the traceback:

Traceback (most recent call last):
File "G:\python\pendu\user_test.py", line 3, in <module>:
    save_user_points("Magix", 30);
File "G:\python\pendu\user.py", line 22, in save_user_points:
    scores = unpickler.load();
EOFError: Ran out of input

The file I am trying to read is empty. How can I avoid getting this error, and get an empty variable instead?

I would check that the file is not empty first:

import os

scores = {} # scores is an empty dict already

if os.path.getsize(target) > 0:      
    with open(target, "rb") as f:
        unpickler = pickle.Unpickler(f)
        # if file is not empty scores will be equal
        # to the value unpickled
        scores = unpickler.load()

Also open(target, 'a').close() is doing nothing in your code and you don’t need to use ;.

Most of the answers here have dealt with how to mange EOFError exceptions, which is really handy if you’re unsure about whether the pickled object is empty or not.

However, if you’re surprised that the pickle file is empty, it could be because you opened the filename through ‘wb’ or some other mode that could have over-written the file.

for example:

filename = 'cd.pkl'
with open(filename, 'wb') as f:
    classification_dict = pickle.load(f)

This will over-write the pickled file. You might have done this by mistake before using:

...
open(filename, 'rb') as f:

And then got the EOFError because the previous block of code over-wrote the cd.pkl file.

When working in Jupyter, or in the console (Spyder) I usually write a wrapper over the reading/writing code, and call the wrapper subsequently. This avoids common read-write mistakes, and saves a bit of time if you’re going to be reading the same file multiple times through your travails

As you see, that’s actually a natural error ..

A typical construct for reading from an Unpickler object would be like this ..

try:
    data = unpickler.load()
except EOFError:
    data = list()  # or whatever you want

EOFError is simply raised, because it was reading an empty file, it just meant End of File ..

It is very likely that the pickled file is empty.

It is surprisingly easy to overwrite a pickle file if you’re copying and pasting code.

For example the following writes a pickle file:

pickle.dump(df,open('df.p','wb'))

And if you copied this code to reopen it, but forgot to change 'wb' to 'rb' then you would overwrite the file:

df=pickle.load(open('df.p','wb'))

The correct syntax is

df=pickle.load(open('df.p','rb'))

if path.exists(Score_file):
      try : 
         with open(Score_file , "rb") as prev_Scr:

            return Unpickler(prev_Scr).load()

    except EOFError : 

        return dict() 

You can catch that exception and return whatever you want from there.

open(target, 'a').close()
scores = {};
try:
    with open(target, "rb") as file:
        unpickler = pickle.Unpickler(file);
        scores = unpickler.load();
        if not isinstance(scores, dict):
            scores = {};
except EOFError:
    return {}

Note that the mode of opening files is ‘a’ or some other have alphabet ‘a’ will also make error because of the overwritting.

pointer = open('makeaafile.txt', 'ab+')
tes = pickle.load(pointer, encoding='utf-8')