Pandas Example – Write a Pandas program to print a DataFrame without index

(Python Example for Beginners)

 

Write a Pandas program to print a DataFrame without index.

 

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]},
     index =  [1, 2, 3, 4, 5, 6])

print("Original DataFrame with single index:")
print(df)

print("nDataFrame without index:")
print(df.to_string(index=False))

Sample Output:

Original DataFrame with single index:
  school_code class            name date_of_birth  weight
1        s001     V  Alberto Franco    15/05/2002      35
2        s002     V    Gino Mcneill    17/05/2002      32
3        s003    VI     Ryan Parkes    16/02/1999      33
4        s001    VI    Eesha Hinton    25/09/1998      30
5        s002     V    Gino Mcneill    11/05/2002      31
6        s004    VI    David Parkes    15/09/1997      32

DataFrame without index:
school_code class            name date_of_birth  weight
      s001     V  Alberto Franco    15/05/2002      35
      s002     V    Gino Mcneill    17/05/2002      32
      s003    VI     Ryan Parkes    16/02/1999      33
      s001    VI    Eesha Hinton    25/09/1998      30
      s002     V    Gino Mcneill    11/05/2002      31
      s004    VI    David Parkes    15/09/1997      32

 

Pandas Example – Write a Pandas program to print a DataFrame without index

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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.
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