Sorting a set of values

Question

Consider the below values in set:

set(['0.000000000', '0.009518000', '10.277200999', '0.030810999', '0.018384000', '4.918560000'])

set(['4.918859000', '0.060758000', '4.917336999', '0.003949999', '0.013945000', '10.281522000', '0.025082999'])  

I need to sort the qualities(Values) in each set in expanding order. I would prefer not to sort between the sets, yet the qualities in each set. 

Answer 1

The way to sort the values within each set in ascending order is by using the sorted() function along with a lambda function as the key parameter. Here's an alternative example:

set1 = set(['0.000000000', '0.009518000', '10.277200999', '0.030810999', '0.018384000', '4.918560000'])

set2 = set(['4.918859000', '0.060758000', '4.917336999', '0.003949999', '0.013945000', '10.281522000', '0.025082999'])

sorted_set1 = sorted(set1, key=lambda x: float(x))

sorted_set2 = sorted(set2, key=lambda x: float(x))

print(sorted_set1)

print(sorted_set2)

Output:

['0.000000000', '0.009518000', '0.018384000', '0.030810999', '4.918560000', '10.277200999']

['0.003949999', '0.013945000', '0.025082999', '0.060758000', '4.917336999', '4.918859000', '10.281522000']

In this approach, a lambda function is used as the key parameter in the sorted() function. The lambda function converts each value to a float before performing the sorting. This ensures that the values are sorted numerically rather than as strings. By applying this approach to each set individually, you can achieve the desired result of sorting the values within each set in ascending order.

Answer 2

Through a comment,

I want to sort each set

That is simple. For any set s (or whatever else iterable), sorted(s) returns a rundown of the components of s in arranged order:

>>> s = set(['0.000000000', '0.009518000', '10.277200999', '0.030810999', '0.018384000', '4.918560000'])

>>> sorted(s)

['0.000000000', '0.009518000', '0.018384000', '0.030810999', '10.277200999', '4.918560000']

The best arrangement is well on the way to store the numbers as numbers instead of strings in any case. However, in the event that not, you simply need to utilize a key function:

>>> sorted(s, key=float)

['0.000000000', '0.009518000', '0.018384000', '0.030810999', '4.918560000', '10.277200999']

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Answer 3

To sort the values within each set in ascending order, you can use the sorted() function. Here's an example of how you can achieve this:

set1 = set(['0.000000000', '0.009518000', '10.277200999', '0.030810999', '0.018384000', '4.918560000'])

set2 = set(['4.918859000', '0.060758000', '4.917336999', '0.003949999', '0.013945000', '10.281522000', '0.025082999'])

sorted_set1 = sorted(set1, key=float)

sorted_set2 = sorted(set2, key=float)

print(sorted_set1)

print(sorted_set2)

Output:

['0.000000000', '0.009518000', '0.018384000', '0.030810999', '4.918560000', '10.277200999']

['0.003949999', '0.013945000', '0.025082999', '0.060758000', '4.917336999', '4.918859000', '10.281522000']

In the above code, the sorted() function is used with the key parameter set to float. This ensures that the values are sorted based on their numeric representation rather than as strings. By applying this approach to each set individually, you can achieve the desired result of sorting the values within each set in ascending order.

Answer 4

You can use the sorted() function with a lambda function as the key parameter to sort the values within each set in ascending order. By converting each value to a float using the lambda function, the sorting is performed numerically. This approach ensures that the values are sorted correctly.