Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python - Merge DataFrames of different length
To merge dataframes of different length, we need to use the merge() method. Let’s say the following is our 1st DataFrame with length 4 −
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Jaguar']
}
)
print("DataFrame1 ...\n",dataFrame1)
print("DataFrame1 length = ", len(dataFrame1))Following is our 2nd DataFrame with length 6 −
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley']
}
)
print("\nDataFrame2 ...\n",dataFrame2) print("DataFrame2 length = ", len(dataFrame2))Now, merge DataFrames using the merge() −
mergedRes = dataFrame2.merge(dataFrame1, how='left')
Example
Following is the code −
import pandas as pd
# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Jaguar']
}
)
print("DataFrame1 ...\n",dataFrame1)
# Find length of DataFrame1
print("DataFrame1 length = ", len(dataFrame1))
# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley']
}
)
print("\nDataFrame2 ...\n",dataFrame2)
# Find length of DataFrame2
print("DataFrame2 length = ", len(dataFrame2))
# merge DataFrames
mergedRes = dataFrame2.merge(dataFrame1, how='left')
print("\nMerged data frame...\n", mergedRes)Output
This will produce the following output −
DataFrame1 ... Car 0 BMW 1 Lexus 2 Audi 3 Jaguar DataFrame1 length = 4 DataFrame2 ... Car 0 BMW 1 Lexus 2 Audi 3 Mercedes 4 Jaguar 5 Bentley DataFrame2 length = 6 Merged data frame... Car 0 BMW 1 Lexus 2 Audi 3 Mercedes 4 Jaguar 5 Bentley
Updated on: 23-Feb-2022
408 Views
Advertisements