Course Content

# Pandas Demystified: Unveiling the Power of Data Manipulation

Pandas Demystified: Unveiling the Power of Data Manipulation

## Grouping in Pandas

Grouping in `pandas`

is the process of dividing a DataFrame into groups based on the values in one or more columns. You can then apply a function to each group to compute a summary statistic.

To group a DataFrame in `pandas`

, you can use the `.groupby()`

method. This method takes a column name or a list of column names and returns a `groupby`

object, which you can then apply a function to.

The task is completed!

# TaskCompleted

- Import
`numpy`

as`np`

; - Group your data by
`"DEPARTMENT_NAME"`

and finding out the mean; - Group your data by
`"DEPARTMENT_NAME"`

and compute the mean, min, and max for`"MANAGER_ID"`

for each group.

Everything was clear?

Section 1. Chapter 5