Mar 8, 2023 · Also if you want to find the index of the resulting max, print(a.index(max_num)) Direct approach by using function max() max() function returns the item with the highest value, or the item with the highest value in an iterable. Example: when you have to find max on integers/numbers. a = (1, 5, 3, 9) print(max(a)) >> 9 Example: when you have string

In Python 3, there is no xrange , if you want to write code that will run for both Python 2 and Python 3, you should use range(). – Chunde Huang Commented Apr 25, 2019 at 18:26

Firstly, we can get the max count for each group like this: In [1]: df Out[1]: Sp Mt Value count 0 MM1 S1 a 3 1 MM1 S1 n 2 2 MM1 S3 cb 5 3 MM2 S3 mk 8 4 MM2 S4 bg 10 5 MM2 S4 dgd 1 6 MM4 S2 rd 2 7 MM4 S2 cb 2 8 MM4 S2 uyi 7 In [2]: df.groupby(['Sp', 'Mt'])['count'].max() Out[2]: Sp Mt MM1 S1 3 S3 5 MM2 S3 8 S4 10 MM4 S2 7 Name: count, dtype: int64

Mar 19, 2010 · I have run the benchmark on my machine with python 2.7 for the two solutions above (blue: pure python, first solution) (red, numpy solution) and for the standard solution based on itemgetter() (black, reference solution). The same benchmark with python 3.5 showed that the methods compare exactly the same of the python 2.7 case presented above

Apr 13, 2012 · A lambda cannot implicitly return a tuple by returning a comma-separated sequence of values, the way that a regular Python function can. In this case, the comma is part of the argument list to scipy.optimize.fmin , so the entire first argument is lambda x: -f(x) and the entire second argument is 0 .

a.index(max(a)) will do the trick. Built-in function max(a) will find the maximum value in your list a, and list function index(v) will find the index of value v in your list. By combining them, you get what you are looking for, in this case the index value 3.

however if you find the max number with the classic vay you can use loops. list = [3,8,2,9] current_max_number = list[0] for number in list: if number>current_max_number: current_max_number = number print (current_max_number) #it will display 9 as big number

Oct 22, 2015 · I find this solution quite useful (I am using it right now in a project) but it has two drawbacks namely 1)it depends on numpy and 2)it requires a conversion of the data (even though the given code might suggest otherwise internally numpy.max() works with numpy array data). There are cases where this is too much of an overhead.

Apr 1, 2013 · Using Pandas I am trying to find the Country and Place with the maximum value. This returns the maximum value: data.groupby(['Country','Place'])['Value'].max() But how do I get the corresponding Country and Place name?

Nov 6, 2008 · I have a dictionary where keys are strings, and values are integers. stats = {'a': 1, 'b': 3000, 'c': 0} How do I get the key with the maximum value?