Currently I cannot
pkl_file = open(item, 'rb')
meta = pickle.load(pkl_file)
print type(meta)
I get:
Traceback (most recent call last):
File "blob-pickles.py", line 16, in <module>
meta = pickle.load(pkl_file);print type(meta)
File "C:\Anaconda\lib\pickle.py", line 1378, in load
return Unpickler(file).load()
File "C:\Anaconda\lib\pickle.py", line 858, in load
dispatch[key](self)
KeyError: '\x00'
pointing to the pickle.load() line
Originally i saved the pickle like this :
output = open(fileName+'.pkl', 'wb')
pickle.dump(meta, output)
where meta was a list with 4 strings
So I tried
pickle.loads()
And I get EOF error. The files are not blank...
When I wrote the pickles i used wb mode and also to read them..
What went wrong or what can i do to retrieve the information within which is just a small list?
pickle left a bad taste in my mouth. Next time I'll try dill. Maybe their code is more kosher.
Related
I am trying to open a csv file using the csv module and then trying to read some data off of it using this code.
import csv
def file_open():
input_file=str(input('enter the input file to use'))
while True:
try:
with open(input_file,'r') as grades:
grades_reader=csv.reader(grades, delimiter=',')
break
except FileNotFoundError:
print('FileNotFoundError')
input_file=str(input('enter the input file to use'))
row_num=1
for row in grades_reader:
print('row',row_num,row)
row_num+=1
file_open()
and the file opening seems to be working until it gets to the part where it has to read the data and then it gives me an i/o error saying the file is closed. I am quite new to python and would appreciate any insight on what I did wrong.
also input_file is meant to allow the user to pick any file but I will only be using it to call one file called Grades.csv if that information will help
EDIT: traceback error message.
Traceback (most recent call last):
File "C:\Users\musta\OneDrive\Documents\computer assignment programs\program 4\Program4.py", line 24, in <module>
file_open()
File "C:\Users\musta\OneDrive\Documents\computer assignment programs\program 4\Program4.py", line 18, in file_open
for row in grades_reader:
ValueError: I/O operation on closed file.
The file is closed because your break ends the loop, and the with body, therefore closing the file
You should keep that file reading code within the with indentation.
A csv.reader doesn't load the file into some in-memory list
How do I turn this format of TXT file into a CSV file?
Date,Open,high,low,close
1/1/2017,1,2,1,2
1/2/2017,2,3,2,3
1/3/2017,3,4,3,4
I am sure you can understand? It already has the comma -eparated values.
I tried using numpy.
>>> import numpy as np
>>> table = np.genfromtxt("171028 A.txt", comments="%")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Smith\AppData\Local\Continuum\anaconda3\lib\site-packages\numpy\lib\npyio.py", line 1551, in genfromtxt
fhd = iter(np.lib._datasource.open(fname, 'rb'))
File "C:\Users\Smith\AppData\Local\Continuum\anaconda3\lib\site-packages\numpy\lib\_datasource.py", line 151, in open
return ds.open(path, mode)
File "C:\Users\Smith\AppData\Local\Continuum\anaconda3\lib\site-packages\numpy\lib\_datasource.py", line 501, in open
raise IOError("%s not found." % path)
OSError: 171028 A.txt not found.
I have (S&P) 500 txt files to do this with.
You can use csv module. You can find more information here.
import csv
txt_file = 'mytext.txt'
csv_file = 'mycsv.csv'
in_txt = csv.reader(open(txt_file, "r"), delimiter=',')
out_csv = csv.writer(open(csv_file, 'w+'))
out_csv.writerows(in_txt)
Per #dclarke's comment, check the directory from which you run the code. As you coded the call, the file must be in that directory. When I have it there, the code runs without error (although the resulting table is a single line with four nan values). When I move the file elsewhere, I reproduce your error quite nicely.
Either move the file to be local, add a local link to the file, or change the file name in your program to use the proper path to the file (either relative or absolute).
I'm attempting to upload a text file to Dropbox using this code:
def uploadFile(file):
f = open('logs/%s.txt' % file)
response = client.put_file('/%s.txt' % file, f)
print "Uploaded log file %s" % file
Connecting to dropbox works perfectly fine, it's just when I upload files I recieve this error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\site-packages\dropbox_python_sdk-1.5.1-py2.7.egg\dropbox
\client.py", line 352, in put_file
return self.rest_client.PUT(url, file_obj, headers)
File "C:\Python27\lib\site-packages\dropbox_python_sdk-1.5.1-py2.7.egg\dropbox
\rest.py", line 265, in PUT
return cls.IMPL.PUT(*n, **kw)
File "C:\Python27\lib\site-packages\dropbox_python_sdk-1.5.1-py2.7.egg\dropbox
\rest.py", line 211, in PUT
return self.request("PUT", url, body=body, headers=headers, raw_response=raw
_response)
File "C:\Python27\lib\site-packages\dropbox_python_sdk-1.5.1-py2.7.egg\dropbox
\rest.py", line 174, in request
raise util.AnalyzeFileObjBug(clen, bytes_read)
dropbox.util.AnalyzeFileObjBug:
Expected file object to have 18 bytes, instead we read 17 bytes.
File size detection may have failed (see dropbox.util.AnalyzeFileObj)
Google has given me no help with this one.
Sounds like you are a victim of newline unification. The file object reports a file size of 18 bytes ("abcdefghijklmnop\r\n") but you read only 17 bytes ("abcdefghijklmnop\n").
Open the file in binary mode to avoid this:
f = open('logs/%s.txt' % file, 'rb')
The default is to use text mode, which may convert '\n' characters to a platform-specific representation on writing and back on reading.
I am new to python. I have a file data.pkl. What I would like to do is get the data from the file. I looked at http://docs.python.org/library/pickle.html, 11.1.7 example and tried exactly that.
My code looks like this:
import pprint, pickle
pkl_file = open('data.pkl', 'rb')
data1 = pickle.load(pkl_file)
pprint.pprint(data1)
pkl_file.close()
But it is giving me error:
Traceback (most recent call last):
File "/home/sadiksha/workspace/python/test.py", line 5, in <module>
data1 = pickle.load(pkl_file)
File "/usr/lib/python2.7/pickle.py", line 1378, in load
return Unpickler(file).load()
File "/usr/lib/python2.7/pickle.py", line 858, in load
dispatch[key](self)
File "/usr/lib/python2.7/pickle.py", line 966, in load_string
raise ValueError, "insecure string pickle"
Can anyone please tell me what am I doing wrong here?
It seems that your pickle file was either not written correctly (specifying 'wb') or the file was somehow corrupted. Try creating your own pickle file and reading that back in. That should do the trick.
As for the pickle file specified, it is definitely corrupted.
I recently found out about pickle, which is amazing. But it errors on me when used for my actual script, testing it with a one item dictionary it worked fine. My real script is thousands of lines of code storing various objects within maya into it. I do not know if it has anything to do with the size, I have read around a lot of threads here but none are specific to my error.
I have tried writing with all priorities. No luck.
This is my output code:
output = open('locatorsDump.pkl', 'wb')
pickle.dump(l.locators, output, -1)
output.close()
This is my read code:
jntdump = open('locatorsDump.pkl', 'rb')
test = pickle.load(jntdump)
jntdump.close()
This is the error:
# Error: Error in maya.utils._guiExceptHook:
# File "C:\Program Files\Autodesk\Maya2011\Python\lib\site-packages\pymel-1.0.0-py2.6.egg\maya\utils.py", line 277, in formatGuiException
# exceptionMsg = excLines[-1].split(':',1)[1].strip()
# IndexError: list index out of range
#
# Original exception was:
# Traceback (most recent call last):
# File "<maya console>", line 3, in <module>
# File "C:\Program Files\Autodesk\Maya2011\bin\python26.zip\pickle.py", line 1370, in load
# return Unpickler(file).load()
# File "C:\Program Files\Autodesk\Maya2011\bin\python26.zip\pickle.py", line 858, in load
# dispatch[key](self)
# File "C:\Program Files\Autodesk\Maya2011\bin\python26.zip\pickle.py", line 880, in load_eof
# raise EOFError
# EOFError #
Try using pickle.dumps() and pickle.loads() as a test.
If you don't recieve the same error, you know it is related to the file write.