(Python Example for Beginners)
Write a Pandas program to convert 1st and 3rd levels in the index into columns from a multiple level of index frame of a given dataframe.
Test Data:
0 s001 V Alberto Franco 15/05/2002 35 street1 t1 1 s002 V Gino Mcneill 17/05/2002 32 street2 t2 2 s003 VI Ryan Parkes 16/02/1999 33 street3 t3 3 s001 VI Eesha Hinton 25/09/1998 30 street1 t4 4 s002 V Gino Mcneill 11/05/2002 31 street2 t5 5 s004 VI David Parkes 15/09/1997 32 street4 t6
Sample Solution:
Python Code :
Sample Output:
Original DataFrame: school_code class name date_of_birth weight t_id 0 s001 V Alberto Franco 15/05/2002 35 t1 1 s002 V Gino Mcneill 17/05/2002 32 t2 2 s003 VI Ryan Parkes 16/02/1999 33 t3 3 s001 VI Eesha Hinton 25/09/1998 30 t4 4 s002 V Gino Mcneill 11/05/2002 31 t5 5 s004 VI David Parkes 15/09/1997 32 t6 MultiIndex using columns 't_id', ‘school_code’ and 'class': name date_of_birth weight t_id school_code class t1 s001 V Alberto Franco 15/05/2002 35 t2 s002 V Gino Mcneill 17/05/2002 32 t3 s003 VI Ryan Parkes 16/02/1999 33 t4 s001 VI Eesha Hinton 25/09/1998 30 t5 s002 V Gino Mcneill 11/05/2002 31 t6 s004 VI David Parkes 15/09/1997 32 Convert 1st and 3rd levels in the index frame into columns: t_id class name date_of_birth weight school_code s001 t1 V Alberto Franco 15/05/2002 35 s002 t2 V Gino Mcneill 17/05/2002 32 s003 t3 VI Ryan Parkes 16/02/1999 33 s001 t4 VI Eesha Hinton 25/09/1998 30 s002 t5 V Gino Mcneill 11/05/2002 31 s004 t6 VI David Parkes 15/09/1997 32
Pandas Example – Write a Pandas program to convert 1st and 3rd levels in the index into columns from a multiple level of index frame of a given dataframe
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.