如你所见，这实际上是一个自然错误。

从Unpickler对象中读取数据的典型构造如下所示。

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

简单地引发EOFError，因为它正在读取一个空文件，它只是意味着文件结束。

from os.path import getsize as size
from pickle import *
if size(target)>0:
    with open(target,'rb') as f:
        scores={i:j for i,j in enumerate(load(f))}
else: scores={}

#line 1. we importing Function 'getsize' from Library 'OS' sublibrary 'path' and we rename it with command 'as' for shorter style of writing. Important is hier that we loading only one single Func that we need and not whole Library! line 2. Same Idea, but when we dont know wich modul we will use in code at the begining, we can import all library using a command '*'. line 3. Conditional Statement... if size of your file >0 ( means obj is not an empty). 'target' is variable that schould be a bit earlier predefined. just an Example : target=(r'd:\dir1\dir.2..\YourDataFile.bin') Line 4. 'With open(target) as file:' an open construction for any file, u dont need then to use file.close(). it helps to avoid some typical Errors such as "Run out of input" or Permissions rights. 'rb' mod means 'rea binary' that u can only read(load) the data from your binary file but u cant modify/rewrite it. Line5. List comprehension method in applying to a Dictionary.. line 6. Case your datafile is empty, it will not raise an any Error msg, but return just an empty dictionary.

当pickle文件为空(0字节)时出现此错误。首先需要检查pickle文件的大小。这就是我的情况。希望这能有所帮助!

pickle文件很可能是空的。

如果要复制和粘贴代码，那么覆盖pickle文件非常容易。

例如，下面写一个pickle文件:

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

如果你复制这段代码重新打开它，但忘记把'wb'改为'rb'，那么你会覆盖文件:

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

正确的语法是

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

我遇到过这个错误很多次，它总是发生，因为写入文件后，我没有关闭它。如果我们不关闭文件，内容保留在缓冲区中，文件保持为空。 要将内容保存到文件中，要么关闭文件，要么超出file_object的作用域。

这就是为什么在加载时它会给出run out of input错误因为文件是空的。所以你有两个选择:

file_object.close () File_object.flush():如果你不想在程序之间关闭文件，你可以使用flush()函数，因为它会强制将内容从缓冲区移动到文件中。

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

            return Unpickler(prev_Scr).load()

    except EOFError : 

        return dict()