I have a dataset that consists of a dict with text descriptions and values that are integers. If required, I collect the values into a list and create a numpy array running it through a simple routine: data[abs(data - mean(data)) < m * std(data)] where m is the number of std deviations to include.
The problem is I loos track of which were removed so the original display of the dataset is misleading when the processed average is returned as it includes the removed key/values. Ayone know how I can maintain the relationship and when I exclude a value, remove it from the dict? Thanks! jlc -- http://mail.python.org/mailman/listinfo/python-list
