I have a .csv file that I\'ve read into python using csv.dictwriter that looks something like this:
[
{\'id\':\'1\', \'date\':\'12312004\',\'var1\':\'234\',
Provided your input is a list, you can do this:
output = {}
for entry in input_list:
entry = entry.copy() # so we can mangle it
id = entry.pop('id')
date = entry.pop('date')
output.setdefault(id, {})[date] = entry
The dict.setdefault()
call returns the value for the key id
, but if there is no such key, the second argument will be added to the output
dictionary for that key and returned instead.
Demo:
>>> input_list = [
... {'id':'1', 'date':'12312004','var1':'234', 'var2':'456'},
... {'id':'1', 'date':'12312005','var1':'200', 'var2':'466'},
... {'id':'1', 'date':'12312006','var1':'760', 'var2':'656'},
... {'id':'1', 'date':'12312007','var1':'215', 'var2':'256'},
... {'id':'2', 'date':'5312006','var1':'234', 'var2':'456'},
... {'id':'2', 'date':'5312007','var1':'200', 'var2':'466'},
... {'id':'2', 'date':'5312008','var1':'760', 'var2':'656'},
... {'id':'2', 'date':'5312009','var1':'215', 'var2':'256'},
... ]
>>> output = {}
>>> for entry in input_list:
... entry = entry.copy() # so we can alter it
... id = entry.pop('id')
... date = entry.pop('date')
... output.setdefault(id, {})[date] = entry
...
>>> from pprint import pprint
>>> pprint(output)
{'1': {'12312004': {'var1': '234', 'var2': '456'},
'12312005': {'var1': '200', 'var2': '466'},
'12312006': {'var1': '760', 'var2': '656'},
'12312007': {'var1': '215', 'var2': '256'}},
'2': {'5312006': {'var1': '234', 'var2': '456'},
'5312007': {'var1': '200', 'var2': '466'},
'5312008': {'var1': '760', 'var2': '656'},
'5312009': {'var1': '215', 'var2': '256'}}}