Pandas: Create an index labels by using 64-bit integers, floating-point numbers

Last update on May 01 2025 12:56:03 (UTC/GMT +8 hours)

4. Create 64-bit Integer and Float Index Labels

Write a Pandas program to create an index labels by using 64-bit integers, using floating-point numbers 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
print("Create an Int64Index:")
df_i64 = 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']},
    index=[1, 2, 3, 4, 5, 6])
print(df_i64)
print("\nView the Index:")
print(df_i64.index)

print("\nFloating-point labels using Float64Index:")
df_f64 = 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']},
    index=[.1, .2, .3, .4, .5, .6])
print(df_f64)
print("\nView the Index:")
print(df_f64.index)

Sample Output:

Create an Int64Index:
  school_code class            name date_Of_Birth  weight  address
1        s001     V  Alberto Franco    15/05/2002      35  street1
2        s002     V    Gino Mcneill    17/05/2002      32  street2
3        s003    VI     Ryan Parkes    16/02/1999      33  street3
4        s001    VI    Eesha Hinton    25/09/1998      30  street1
5        s002     V    Gino Mcneill    11/05/2002      31  street2
6        s004    VI    David Parkes    15/09/1997      32  street4

View the Index:
Int64Index([1, 2, 3, 4, 5, 6], dtype='int64')

Floating-point labels using Float64Index:
    school_code class            name date_Of_Birth   weight  address
0.1        s001     V  Alberto Franco     15/05/2002      35  street1
0.2        s002     V    Gino Mcneill     17/05/2002      32  street2
0.3        s003    VI     Ryan Parkes     16/02/1999      33  street3
0.4        s001    VI    Eesha Hinton     25/09/1998      30  street1
0.5        s002     V    Gino Mcneill     11/05/2002      31  street2
0.6        s004    VI    David Parkes     15/09/1997      32  street4

View the Index:
Float64Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6], dtype='float64')

For more Practice: Solve these Related Problems:

Write a Pandas program to generate a DataFrame with index labels as 64-bit integers and verify their data type.
Write a Pandas program to set the DataFrame index using floating-point numbers and check the index type.
Write a Pandas program to convert an existing integer index to 64-bit integers and then display the index information.
Write a Pandas program to assign a new index composed of floats to a DataFrame and validate that the index dtype is float64.

Go to:

Previous: Write a Pandas program to display the default index and set a column as an Index in a given dataframe and then reset the index.
Next: Write a Pandas program to create a DataFrame using intervals as an index.

Python Code Editor:

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