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:
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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.
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Python: Tips of the Day
Find current directory and file's directory:
To get the full path to the directory a Python file is contained in, write this in that file:
import os dir_path = os.path.dirname(os.path.realpath(__file__))
(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)
To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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