If that succeeds, it will do numeric sorting, otherwise it'll resort to string comparison.Ĭomments for improvement welcome. When you want explicit numeric comparison you can use the flag num_as_num which will try to do explicit numeric sorting by trying to convert all values to floats. However, in some cases you want to do actual numeric comparison where 12 is smaller than 20 (which is not the case in string comparison). Of course you can force string comparison with str(). strings as well as ints, sorted() will fail. When you try using sorted on an iterable that holds e.g. In the latter case, you can sort either on keys or values, and it can take numeric comparison into account. Please remember to remove the parentheses after print if not using Python 3.0 or aboveĪs pointed out by Dilettant, Python 3.6 will now keep the order! I thought I'd share a function I wrote that eases the sorting of an iterable (tuple, list, dict). Python Program to Count the Frequency of Words Appearing in a String Using a Dictionary Python Program to Form an Integer that has the Number of Digits at Ten’s Place and the Least Significant Digit of the Entered Integer at One’s Place Python Program to Generate a Dictionary that Contains Numbers (between 1 and n) in the Form (x, xx). You can also print out every value for bleh, meh in gen(myDict): You can iterate with conditional clauses to get what you want.
If you do not have administrative access, then I'm afraid the option's out.)įor x, y in sorted(zip(originalDict.keys(), originalDict.values()), key=lambda z: z):
USING DICTIONARIES IN PYTHON INSTALL
(There is an OrderedDict for 2.4 and 2.6 here, butī) You have to download and install it of course. If you do not have Python 2.7 or higher, the best you can do is iterate over the values in a generator function. from collections import OrderedDictĪ = OrderedDict(sorted(ems(), key=lambda x: x)) Iterate through the keys of the dictionary. Of course, remember, you need to use OrderedDict because regular Python dictionaries don't keep the original order. You can iterate through the keys of a dictionary by using a for loop.
Same in CPython 3.6, but it's an implementation detail. Dicts preserve insertion order in Python 3.7+.