## 24 Jan Pandas – Statistical Functions

In this lesson, we will work around statistics operations using the statistical functions in Python Pandas.  It can be applied to a Series or DataFrame.

• sum(): Return the sum of the values.
• count(): Return the count of non-empty values.
• max(): Return the maximum of the values.
• min(): Return the minimum of the values.
• mean(): Return the mean of the values.
• median(): Return the median of the values.
• std(): Return the standard deviation of the values.
• describe(): Return the summary statistics for each column.

## Pandas sum() method

The sum() method in Python Pandas is used to return the sum of the values. Let us see an example:

Output

## Pandas count() method

The count() method in Python Pandas is used to return the count of non-empty values. Let us see an example:

Output

## Pandas max() method

The max() method in Python Pandas is used to return the maximum of the values. Let us see an example:

Output

## Pandas min() method

The min() method in Python Pandas is used to return the minimum of the values. Let us see an example:

Output

## Pandas mean() method

The mean() method in Python Pandas is used to return the mean of the values. Let us see an example:

Output

## Pandas median() method

The median() method in Python Pandas is used to return the median of the values. Let us see an example:

Output

## Pandas std() method

The std() method in Python Pandas is used to return the standard deviation of the values. Let us see an example:

Output

## Pandas describe() method

The describe() method in Python Pandas is used to return the summary statistics for each column. Let us see an example:

Output

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