Returns the index of the element with the minimum value in a list.

• Python Min Index Calculator
• Python Min Index Numpy
• Python Min Index Function
• Python Find Min Index In Array
• Python Min Index Of List
• Python Index Of Largest Item In List

• Use min() and list.index() to obtain the minimum value in the list and then return its index.

We want Python to select the minimum and maximum element based on each item’s weight stored at index 1. We expect min and max to return the following elements: min (nestedlist) should be 'cherry', 7 max (nestedlist) should be 'anaconda', 1360. Python, Math, List Returns the index of the element with the minimum value in a list. Use min and list.index to obtain the minimum value in the list and then return its index. Python inbuilt function allows us to find it in one line, we can find the minimum in the list using the min function and then us index function to find out the index of that minimum element. Random numbers given by the user. Then we have printed the shape (size) of the array. Then we have called argmin to get the index of the minimum element from the array. We can see that the minimum element of this array is 4, which is at position 0, so the output is 0. Finding indices of maximum elements from Multidimensional Array. Definition and Usage The index method finds the first occurrence of the specified value. The index method raises an exception if the value is not found. The index method is almost the same as the find method, the only difference is that the find method returns -1 if the value is not found.

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To find the maximum and minimum value in an array you can use numpy argmax and argmin function

These two functions( argmax and argmin ) returns the indices of the maximum value along an axis

However, if you are interested to find out N smallest or largest elements in an array then you can use numpy partition and argpartition functions

In this post we are going to discuss how numpy partition and argpartition works and how to use it for finding N small and large values and their indices

Numpy Partition

It return a partitioned copy of array

Perform an indirect partition along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in partitioned order

Basically it gives the indices of the N smallest and largest values along the given axis of a numpy array

Find N smallest values in a Numpy array

Create a 1D array

Python Min Index Calculator

Now we are interested to find 4 smallest values in this array

We will use numpy partition to get those 4 smallest values

Let’s understand the output of numpy partition

Original Array:

Now we want to find 4 smallest values in this array, so we will partition the original array at 4th position, Which will look like this

Now move the smallest values on the left partition and larger value on the right side as it would be in a sorted array

Note: As mentioned in the document the ordering of the elements in the two partitions is undefined i.e. it can be any arbitrary order

Now you will merge these two partition and that will be the output of numpy partition

So if you want to get the first 4 smallest values from the original array then

Find N Largest values in a Numpy array

Python Min Index Numpy

To find 4 largest values from the above original array, Just pass a -4 value in numpy partition function

The below output gives you 4 largest values from the original array

In the next section we will see how to find the indices of the N smallest and largest values in an array

Python Min Index Function

Numpy Argpartition

As per the documentation

Perform an indirect partition along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in partitioned order

Basically it gives the indices of the N smallest and largest values along the given axis of a numpy array

Find indices of N smallest values in a Numpy array

Let’s take the same original array

Now this time we wanted to find the indices of the 4 smallest values in this array

The output is indices of all the array elements arranged in such a way that 4 smallest value indices are left of index=4 and all large value indices are on right

Now if you are interested to want the values of 4 smallest values

Python Find Min Index In Array

Find indices of N largest values in a Numpy array

Python Min Index Of List

Similarly for finding the 4 largest values in the original array using numpy argpartition we have to pass a negative value

Python Index Of Largest Item In List

Now we will find the values of those 4 largest values