Contenido del Curso
Data Manipulation using pandas
Data Manipulation using pandas
2. Preprocessing Data: Part II
Advanced Aggregation [1/2]
Sometimes one aggregate function is not enought to make complete conclusions. For instance, we may need to get not only minimal, but also maximal value per group. Can pandas
handle it? Surely, it can!
If you want to apply more than one aggregate function to each group, use the .agg()
method. Pass a list of function names (as strings!) you want to apply to each group as the parameter. For instance, we can get the minimal and maximal price for each value of the 'roomh'
column (number of rooms).
¿Todo estuvo claro?