Elegant Python-how to sort multiple conditions in ascending or descending order

Previously, when collecting statistics and exporting the consumption of server players in each region, you must sort them in ascending order and in descending order.
This is the requirement. The partition is in the descending order. If the partition server is the same, the consumption is in the descending order.
The implementation method is to use Python sortAlgorithmIt is a stable sorting that sorts data multiple times. Secondary Conditions are arranged first, and primary conditions are arranged later.
There is also a more concise method for one stream, but it is only effective when the data to be sorted is a numerical value. This method adds a negative number in front of the opposite number.

BelowCode.

# Assume that the data is as follows. Data = ''' server, player ID, cumulative consumption 3, A, 23801, B, 119004, E, 32501, K, 1004, J, 5992, M, 8723, f, 55601, Y, 2500 ''' items = [X. split (',') for X in filter (none, Data. split ('\ n') [1:] # Remove the empty line and ignore the first line and convert the string into a two-dimensional array # method 1 items. sort (Key = Lambda X: int (X [2]), reverse = true) # consume items first. sort (Key = Lambda X: int (X [0]) # Then the partition server prints '\ n '. join ([','. join (x) for X in items]) print '-----------' # method 2 items = sorted (items, key = Lambda x :( int (X [0]), -int (X [2]) print '\ n '. join ([','. join (x) for X in items])