try: import cPickle as pickle except: import pickle # nested DICTIONARY data = { 'one': {'label': 'This is shot 001', 'start': 1, 'end': 10}, 'two': {'label': 'This is shot 002', 'start': 11, 'end': 25}, 'three': {'label': 'This is shot 003 - Needs Editing', 'start': 26, 'end': 50} } # write to file with cPickle/pickle (as binary) def ld_writeDicts(filePath,dict): f=open(filePath,'w') newData = pickle.dumps(dict, 1) f.write(newData) f.close() ld_writeDicts('C:/Users/Lee/Desktop/test2.dta',data) ############# # read file decoding with cPickle/pickle (as binary) def ld_readDicts(filePath): f=open(filePath,'r') data = pickle.load(f) f.close() return data # return dict data to new dict newDataDict = ld_readDicts('C:/Users/Lee/Desktop/test2.dta') # test nesting print newDataDict['one']['label']As you can see its very simple to use and very quick. There are loads of alternatives if you wanted a nicely arranged, readable file, including json:
import json # nested DICTIONARY data = { 'one': {'label': 'This is shot 001', 'start': 1, 'end': 10}, 'two': {'label': 'This is shot 002', 'start': 11, 'end': 25}, 'three': {'label': 'This is shot 003 - Needs Editing', 'start': 26, 'end': 50} } # write to file with json encoding def ld_writeDicts(filePath,dict): f=open(filePath,'w') newData = json.dumps(dict, sort_keys=True, indent=4) f.write(newData) f.close() ld_writeDicts('C:/Users/Lee/Desktop/test',data) # read file decoding with json def ld_readDicts(filePath): f=open(filePath,'r') data = json.loads(f.read()) f.close() return data # return dict data to new dict newDataDict = ld_readDicts('C:/Users/Lee/Desktop/test.dta') # test nesting print newDataDict['one']['label']
However im all for cPickle.
great! thanks
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