# Calculating Series Statistics Part 1

This thread is part 1 of 2 which will be focused on calculating different statistical values of a series using different alternative methods for each statistic. Firstly, if you are unfamiliar with series objects or you want to learn more about them, have a look at the following threads:

The following statistical calculations of a series will be covered in this thread:

1. Minimum Value
2. Maximum Value

However, if you want to learn more series statistics, then have a look at the second part of this thread: Calculating series statistics part 2.

## The minimum value

#### 1. Using 'min()' method:

• The `min()` method of a Pandas series returns the minimum value in the series.

#### 2. Using 'nsmallest()' method:

• The `nsmallest()` method returns the smallest `n` values in the series. To find the first minimum value, we can use `n=1` .

#### 3. Using 'idxmin()' method:

• The `idxmin()` method returns the index of the minimum value in the series.

#### 4. Using 'np.min()' method:

• The `np.min()` is a NumPy function that is used to find the minimum value from a collection of values.

## The maximum value

#### 1. Using 'max()' method:

• The `max()` method of a Pandas series returns the maximum value in the series.

#### 2. Using 'nlargest()' method:

• The `nlargest()` method returns the largest `n` values in the series. To find the first maximum value, we can use `n=1` .

#### 3. Using 'idxmax()' method:

• The `idxmax()` method returns the index of the maximum value in the series.

#### 4. Using 'np.max()' method:

• The `np.max()` is a NumPy function that is used to find the maximum value from a collection of values.