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stackoverflow.com › questions › 70864074 › using-values-max-for-arrays

You'll have to test for the type, or use exception handling, to switch approaches:

def find_max(a):
    if isinstance(a, list):
        return max(list)
    return a.values.max()

def find_max(a):
    try:
        return a.values.max()
    except AttributeError:
        # assume a Python sequence
        return max(a)

Which one you pick depends on a few factors:

Do you need to support other iterables, like tuples or sets or generators?
What is the more common case; the try...except case is faster if the majority of calls pass in a Pandas series.

Another option is to use np.max(), which works on either type:

import numpy as np

def find_max(a):
    return np.max(a)

Note that there is no need to use the .values attribute here!

Answer from Martijn Pieters on Stack Overflow

Stack Overflow

stackoverflow.com › questions › 70864074 › using-values-max-for-arrays

python - Using .values.max() for arrays - Stack Overflow

Top answer

1 of 3

You'll have to test for the type, or use exception handling, to switch approaches:

def find_max(a):
    if isinstance(a, list):
        return max(list)
    return a.values.max()

def find_max(a):
    try:
        return a.values.max()
    except AttributeError:
        # assume a Python sequence
        return max(a)

Which one you pick depends on a few factors:

Do you need to support other iterables, like tuples or sets or generators?
What is the more common case; the try...except case is faster if the majority of calls pass in a Pandas series.

Another option is to use np.max(), which works on either type:

import numpy as np

def find_max(a):
    return np.max(a)

Note that there is no need to use the .values attribute here!

2 of 3

def find_max(a):
    if isinstance(a, list):
        return max(a)
    elif isinstance(a, pd.DataFrame):
        return a.values.max()
    else:
        print("No max method found for the input type")

Real Python

realpython.com › numpy-max-maximum

NumPy's max() and maximum(): Find Extreme Values in Arrays – Real Python

January 18, 2025 - In this section, you’ll become familiar with np.max(), a versatile tool for finding maximum values in various circumstances. Note: NumPy has both a package-level function and an ndarray method named max(). They work in the same way, though the package function np.max() requires the target array name as its first parameter. In what follows, you’ll be using the function and the method interchangeably. Python also has a built-in max() function that can calculate maximum values of iterables.

Discussions

how to get the maximum value from a specific portion of a array in python - Stack Overflow

I have a specific scenario that I need to scan a specific portion of an array for a maximum value of that portion and return the position of that value with regards to the entire array. for example More on stackoverflow.com

stackoverflow.com

Does nim have an equivalent to python's max function?

Does sequtils.maxIndex do what you want? It works on anything that can be < > compared, I think. nim> maxIndex([1,2,3]) 2 == type int It returns the index of the largest element, which you could then use to get that element? https://nim-lang.org/docs/sequtils.html#maxIndex%2CopenArray%5BT%5D More on reddit.com

r/nim

July 27, 2021

python max() in java

u/dbc2201 already mentioned streams, but there is one more thing which comes relatively close. So if you store your data in a list instead of an array, then you can use the Collections.max function: List xs = new ArrayList<>(List.of(2, 4, 3)); // example values System.out.println(Collections.max(xs)); You can also add a custom comparator if needed (thanks to overloading), so that you can compare objects of any datatype. More on reddit.com

r/learnjava

August 10, 2021

min() vs 'sort() and then list[0]'

As others have mentioned, min will be quicker. min just has to walk through the list once, whereas sort must do more compares, making it more complex.

However, one case you might want to use sort is when you need more than just the minimum. Eg. you want the 5 smallest items, not just the smallest. Here "sorted(mylist)[:5]" will do the job, but another option to keep in mind is the heapq module, as "heapq.nsmallest(5, mylist)" will often perform better than sort, at least for a small number of items.

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