python处理can协议文件_Python，如何处理“ ValueError：不支持的泡菜协议：4”；错误？...
I installed all the required python packages, and copied the code into a script I named main.py, and ran it.
I got this error:
[davide@laptop]$ python main.py
Traceback (most recent call last):
File "main.py", line 8, in
training_df = pd.read_hdf('./paper/targetfinder/K562/output-epw/training.h5', 'training').set_index(['enhancer_name', 'promoter_name'])
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 330, in read_hdf
return store.select(key, auto_close=auto_close, **kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 680, in select
return it.get_result()
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 1364, in get_result
results = self.func(self.start, self.stop, where)
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 673, in func
columns=columns, **kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 2786, in read
values = self.read_array('block%d_values' % i)
File "/usr/lib64/python2.7/site-packages/pandas/io/pytables.py", line 2327, in read_array
data = node[:]
File "/usr/lib64/python2.7/site-packages/tables/vlarray.py", line 677, in __getitem__
return self.read(start, stop, step)
File "/usr/lib64/python2.7/site-packages/tables/vlarray.py", line 817, in read
outlistarr = [atom.fromarray(arr) for arr in listarr]
File "/usr/lib64/python2.7/site-packages/tables/atom.py", line 1211, in fromarray
return cPickle.loads(array.tostring())
ValueError: unsupported pickle protocol: 4
I've no idea about what this pickle protocol means, and also my colleagues know nothing about it.
How can I solve this problem?
I'm using Python 2.7.5 on a CentOS Linux release 7.2.1511 (Core) operating system
解决方案
The Pickle protocol is basically the file format. From the documentation,
The higher the protocol used, the more recent the version of Python needed to read the pickle produced. ... Pickle protocol version 4 was added in Python 3.4, your python version (2.7.5) does not support this.
Either upgrade to Python 3.4 or later (current is 3.5) or create the pickle using a lower protocol (2) in the third parameter to pickle.dump().