Hello.... So I have a python program that ends up leaving a .dat file from the shelve function behind after execution. I would like my program to delete or clear that file once it is done. My textbook only mentions how to create a .dat file but not how to clear it. Any good commands out there to take care of this? I don't need the .dat f...
I am storing a table using python, and I need persistance. Essentially I am storing the table as a dictionary string to numbers. And the whole is stored with shelve self.DB=shelve.open("%s%sMoleculeLibrary.shelve"%(directory,os.sep),writeback=True) I use writeback to true as I found the system tend to be unstable if I don't. So aft...
I have been toying with this idea for quite awhile now, but haven't seen any information on people doing it. I have a small website project where I need to load and modify 1 object. This object is pretty simple, and shouldn't be more than a few kb. Instead of running a DB for this small amount of data, why not just use pickle and/or shel...
I'm making a program that can access data stored inside a class. So for example I have this class: #!/usr/bin/env python import shelve cur_dir = '.' class Person: def __init__(self, name, score, age=None, yrclass=10): self.name = name self.firstname = name.split()[0] try: self.lastname = name.sp...
I want to store an integer key in shelve. But when I try to store integer key in shelve it give me an error Traceback (most recent call last): File "./write.py", line 12, in data[id] = {"Id": id, "Name": name} File "/usr/lib/python2.5/shelve.py", line 124, in __setitem__ self.dict[key] = f.getvalue() File "/usr/lib/pytho...
I have opened a shelve using the following code: #!/usr/bin/python import shelve #Module:Shelve is imported to achieve persistence Accounts = 0 Victor = {'Name':'Victor Hughes','Email':'[email protected]','Deposit':65000,'Accno':'SA456178','Acctype':'Savings'} Beverly = {'Name':'Beverly Dsilva','Email':'[email protected]...
Is IO more efficient, due to the linux disk buffer cache, when storing frequently accessed python objects as separate cPickle files instead of storing all objects in one large shelf? Does the disk buffer cache operate differently in these two scenarios with respect to efficiency? There may be thousands of large files (generally around...