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.
TaskCompleted
- Import
numpy
asnp
; - 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