In Python, we can easily find the index of the minimum in a list of numbers. The easiest way to get the index of the minimum in a list with a loop.

```
list_of_numbers = [2, 1, 9, 8, 6, 3, 1, 0, 4, 5]
def minIndex(lst):
index = [0]
min = lst[0]
for i in range(1,len(lst)):
if lst[i] < min:
min = lst[i]
index = [i]
elif lst[i] == min:
index.append(i)
return index
print(minIndex(list_of_numbers))
#Output:
[7]
```

You can also use **enumerate()** and list comprehension to get the index of the minimum of a list in Python.

```
list_of_numbers = [2, 1, 9, 8, 6, 3, 1, 0, 4, 5]
min_of_list = min(list_of_numbers)
index = [i for i, j in enumerate(list_of_numbers ) if j == min_of_list]
print(index)
#Output:
[7]
```

There are many powerful built-in functions in the Python language which allow us to perform basic or complex tasks easily.

One such task is to find the minimum of a list of numbers.

However, what if you want to find the index of the minimum?

We can easily find the index of the minimum value in a list using a loop in Python.

To find the index of the minimum of a list, we just need to keep track of the minimum and the index of the minimum, and loop over the list of numbers.

Below is an example of a Python function which gets the index of the minimum of a list of numbers.

```
list_of_numbers = [2, 1, 9, 8, 6, 3, 1, 0, 4, 5]
def minIndex(lst):
index = [0]
min = lst[0]
for i in range(1,len(lst)):
if lst[i] < min:
min = lst[i]
index = [i]
elif lst[i] == min:
index.append(i)
return index
print(minIndex(list_of_numbers))
#Output:
[7]
```

If you are using pandas, you can find the index of the minimum of a column or DataFrame with the pandas idxmin() function.

## Using enumerate() and List Comprehension to Find Index of Minimum of List in Python

Another way we can get the position of the minimum of a list in Python is to use list comprehension and the **enumerate()** function.

The **enumerate()** function takes in a collection of elements and returns the values and indices of each item of the collection.

We can get use **enumerate()** and list comprehension to get the index of the minimum of a list by returning the index where any value is equal to the minimum of the list.

Below is how to use **enumerate()** and list comprehension to get the index of the minimum of a list in Python.

```
list_of_numbers = [2, 1, 9, 8, 6, 3, 1, 0, 4, 5]
min_of_list = min(list_of_numbers)
index = [i for i, j in enumerate(list_of_numbers) if j == min_of_list]
print(index)
#Output:
[7]
```

## Find Index of Maximum in List with Python

We can adjust the function which finds the index of the minimum in a list to find the index of the maximum in a list.

To find the index of the maximum of a list, we just need to keep track of the maximum and the index of the maximum, and loop over the list of numbers.

Below is an example of a Python function which gets the index of the maximum of a list of numbers.

```
list_of_numbers = [2, 1, 9, 8, 6, 3, 1, 0, 4, 5]
def maxIndex(lst):
index = [0]
max = lst[0]
for i in range(1,len(lst)):
if lst[i] > max:
max = lst[i]
index = [i]
elif lst[i] == max:
index.append(i)
return index
print(maxIndex(list_of_numbers))
#Output:
[2]
```

If you are using pandas, you can find the index of the maximum of a column or DataFrame with the pandas idxmax() function.

Hopefully this article has been useful for you to understand how to find the index of the minimum of a list in Python.

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