Save/Load a Dictionary

2024/4/15 0:34:55

I've found a couple of others asking for help with this, but not specifically what I'm trying to do. I have a dictionary full of various formats (int, str, bool, etc) and I'm trying to save it so I can load it at a later time. Here is a basic version of the code without all the extra trappings that are irrelevant for this.

petStats = { 'name':"", 'int':1, 'bool':False }def petSave(pet):with open(pet['name']+".txt", "w+") as file:for k,v in pet.items():file.write(str(k) + ':' + str(v) + "\n")def digimonLoad(petName):dStat = {}with open(petName+".txt", "r") as file:for line in file:(key, val) = line.split(":")dStat[str(key)] = valprint(petName,"found. Loading",petName+".")return dStat

In short I'm just brute forcing it by saving a text file with a Key:Value on each line, then split them all back up on load. Unfortunately this turns all of my int and bool into strings. Is there a file format I could use to save a dictionary to (I don't need to be able to read it, but the conveniance would be nice) that I could easily load back in?

This works for a basic dictionary but if I start adding things like arrays this is going to get out of hand as it is.

Answer

Use pickle. This is part of the standard library, so you can just import it.

import picklepet_stats = {'name':"", 'int':1, 'bool':False}def pet_save(pet):with open(pet['name'] + '.pickle', 'wb') as f:pickle.dump(pet, f, pickle.HIGHEST_PROTOCOL)def digimon_load(pet_name):with open(pet_name + '.pickle', 'rb') as f:return pickle.load(f)

Pickle works on more data types than JSON, and automatically loads them as the right Python type. (There are ways to save more types with JSON, but it takes more work.) JSON (or XML) is better if you need the output to be human-readable, or need to share it with non-Python programs, but neither appears to be necessary for your use case. Pickle will be easiest.

If you need to see what's in the file, just load it using Python or

python -m pickle foo.pickle

instead of a text editor. (Only do this to pickle files from sources you trust, pickle is not at all secure against hacking.)

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