[Biopython] weighted sampling of a dictionary

[George Devaniranjan]

Hi,

I am not sure if this question is more suitable for biopython or a python
forum.


I have the following dictionary.

dict ={'YLE': 6, 'QYL': 36, 'PTD': 32, 'AGG': 145, 'QYG': 34, 'QYD': 34,
'AGD': 188, 'QYS': 35, 'AGS': 177, 'AGA': 154, 'QYA': 23, 'AGL': 16, 'LAU':
1, 'PTA': 7, '
AGY': 7, 'QYY': 19, 'QYE': 6, 'PAT': 57, 'QYT': 28, 'AGT': 10, 'QYQ': 34,
'AGQ': 140, 'QYP': 32, 'AGP': 167, 'TAT': 31, 'SGS': 174, 'TAP': 18, 'YLP':
49, 'TA
Q': 23, 'UQE': 5, 'UAQ': 9, 'UAT': 8, 'UAE': 7, 'TAD': 1, 'TAG': 15, 'TAA':
20, 'TAS': 1, 'YUP': 1, 'TAL': 45, 'ALU': 20, 'PEP': 14, 'UAG': 6, 'EAL':
16, 'SY
Y': 36, 'EAS': 35, 'SYT': 29, 'EAA': 16, 'SYQ': 13, 'EAG': 28}

The keys are the different amino acid triplets (all possible triplets
extracted from a culled list of PDB), the numbers next to them are the
frequency that they occour in.

I was wondering if there is a way in biopython/python to sample them at the
frequecy indicated by the no's next to the key.

I have only given a snippet of the triplet dictionary, the entire dictionary
has about 1400 key entries.

I would appreciate any help in this matter --thank you very much.

George