Pandas Python Python Example for Beginners Python for Business Analyst Python for Data Analyst

Pandas Example – Write a Pandas program to display the default index and set a column as an Index in a given dataframe

By on Thursday, April 8, 2021

(Python Example for Beginners)

 

Write a Pandas program to display the default index and set a column as an Index in 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 :


import pandas as pd

df = pd.DataFrame({
    'school_code': ['s001','s002','s003','s001','s002','s004'],
    'class': ['V', 'V', 'VI', 'VI', 'V', 'VI'],
    'name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Gino Mcneill', 'David Parkes'],
    'date_Of_Birth': ['15/05/2002','17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'weight': [35, 32, 33, 30, 31, 32],
    'address': ['street1', 'street2', 'street3', 'street1', 'street2', 'street4'],
    't_id':['t1', 't2', 't3', 't4', 't5', 't6']})

print("Default Index:")
print(df.head(10))

print("nschool_code as new Index:")
df1 = df.set_index('school_code')
print(df1)

print("nt_id as new Index:")
df2 = df.set_index('t_id')
print(df2)

Sample Output:

Default Index:
  school_code class            name date_Of_Birth  weight  address t_id
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

school_code as new Index:
            class            name date_Of_Birth  weight  address t_id
school_code                                                          
s001            V  Alberto Franco    15/05/2002      35  street1   t1
s002            V    Gino Mcneill    17/05/2002      32  street2   t2
s003           VI     Ryan Parkes    16/02/1999      33  street3   t3
s001           VI    Eesha Hinton    25/09/1998      30  street1   t4
s002            V    Gino Mcneill    11/05/2002      31  street2   t5
s004           VI    David Parkes    15/09/1997      32  street4   t6

t_id as new Index:
     school_code class            name date_Of_Birth  weight  address
t_id                                                                 
t1          s001     V  Alberto Franco    15/05/2002      35  street1
t2          s002     V    Gino Mcneill    17/05/2002      32  street2
t3          s003    VI     Ryan Parkes    16/02/1999      33  street3
t4          s001    VI    Eesha Hinton    25/09/1998      30  street1
t5          s002     V    Gino Mcneill    11/05/2002      31  street2
t6          s004    VI    David Parkes    15/09/1997      32  street4

 

Pandas Example – Write a Pandas program to display the default index and set a column as an Index in a given dataframe

Sign up to get end-to-end “Learn By Coding” example.


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.
0
Related Posts