Pandas: Merge datasets and check uniqueness
Pandas: DataFrame Exercise-69 with Solution
Write a Pandas program to merge datasets and check uniqueness.
Sample Solution :
Python Code :
import pandas as pd
df = pd.DataFrame({
'Name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Syed Wharton'],
'Date_Of_Birth ': ['17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
'Age': [18.5, 21.2, 22.5, 22, 23]
})
print("Original DataFrame:")
print(df)
df1 = df.copy(deep = True)
df = df.drop([0, 1])
df1 = df1.drop([2])
print("\nNew DataFrames:")
print(df)
print(df1)
print('\n"one_to_one”: check if merge keys are unique in both left and right datasets:"')
df_one_to_one = pd.merge(df, df1, validate = "one_to_one")
print(df_one_to_one)
print('\n"one_to_many” or “1:m”: check if merge keys are unique in left dataset:')
df_one_to_many = pd.merge(df, df1, validate = "one_to_many")
print(df_one_to_many)
print('“many_to_one” or “m:1”: check if merge keys are unique in right dataset:')
df_many_to_one = pd.merge(df, df1, validate = "many_to_one")
print(df_many_to_one)
Sample Output:
Original DataFrame: Name Date_Of_Birth Age 0 Alberto Franco 17/05/2002 18.5 1 Gino Mcneill 16/02/1999 21.2 2 Ryan Parkes 25/09/1998 22.5 3 Eesha Hinton 11/05/2002 22.0 4 Syed Wharton 15/09/1997 23.0 New DataFrames: Name Date_Of_Birth Age 2 Ryan Parkes 25/09/1998 22.5 3 Eesha Hinton 11/05/2002 22.0 4 Syed Wharton 15/09/1997 23.0 Name Date_Of_Birth Age 0 Alberto Franco 17/05/2002 18.5 1 Gino Mcneill 16/02/1999 21.2 3 Eesha Hinton 11/05/2002 22.0 4 Syed Wharton 15/09/1997 23.0 "one_to_one”: check if merge keys are unique in both left and right datasets:" Name Date_Of_Birth Age 0 Eesha Hinton 11/05/2002 22.0 1 Syed Wharton 15/09/1997 23.0 "one_to_many” or “1:m”: check if merge keys are unique in left dataset: Name Date_Of_Birth Age 0 Eesha Hinton 11/05/2002 22.0 1 Syed Wharton 15/09/1997 23.0 “many_to_one” or “m:1”: check if merge keys are unique in right dataset: Name Date_Of_Birth Age 0 Eesha Hinton 11/05/2002 22.0 1 Syed Wharton 15/09/1997 23.0
Python-Pandas Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Pandas program to rename all columns with the same pattern of a given DataFrame.
Next: Write a Pandas program to convert continuous values of a column in a given DataFrame to categorical.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/python-exercises/pandas/python-pandas-data-frame-exercise-69.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics