# How can you find the minimum and maximum values present in a Pandas Series using Python?

Recently, I have been exploring different `series` statistics and how you can find them using Python, up till now I’ve found out about how you can calculate the minimum and maximum of a `series` using Pandas. The code I used is attached below:

#### The Maximum Value:

Are there more ways of achieving the same results? If there are, please let me know along with a sample code for ease.

Yes, there are more ways to achieve this, you can use the `np.min()` and `np.max()` functions present in the NumPy library to get the minimum and maximum values of a series. Here is the example code for them:

#### The Maximum Value:

Yes, there are more ways to do the same thing. You can use the `nsmallest()` and `nlargest()` methods which return the smallest and largest `n` values in the series. Since you want to find the first minimum and maximum value, you must specify `n=1` in both these methods. Here is the code for it, which I hope will help you:

#### The Maximum Value:

Yes, there are other methods and one of them is using the `idxmin()` and `idxmax()` functions which return the index of the minimum or maximum value in the `series`, you can then use this index to get the value. I have attached an example code below that uses this method: