Outer Join

Let's learn the last type of join - outer join. As you remember, left join keeps all the records from the left table, inner join keeps only records with matching values for both tables. Outer join performs almost an opposite action compared to inner join - it keeps all the records from both tables, and adds data if there are matches.

For instance, we can perform an outer join of the same two tables we used before.


              12345678910
            
# Importing library
import pandas as pd

# Loading data
data1 = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/f2947b09-5f0d-4ad9-992f-ec0b87cd4b3f/section5/data1.csv')
data2 = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/f2947b09-5f0d-4ad9-992f-ec0b87cd4b3f/section5/data2.csv')

# Perform a left join
df_res = data1.merge(data2, on = 'id', how = 'outer')
print(df_res)

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 5. Kapittel 5

Spør AI

Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår

Kursinnhold

Data Manipulation using pandas

1. Preprocessing Data: Part I

What is Data Preprocessing?Types consistency Poor Data Presentation Manipulating Strings Challenge Replacing Specific Elements Simultaneous Replacement Challenge

2. Preprocessing Data: Part II

Logical Inconsistency Removing Rows Challenge Outliers Challenge Missing Values Filling NA values Challenge

3. Grouping Data

What is Grouping Data?Grouping in pandas [1/2]Challenge Grouping in pandas [2/2]Challenge Grouping by Several Columns Challenge

4. Aggregating and Visualizing Data

Advanced Aggregation [1/2]Challenge Advanced Aggregation [2/2]Challenge Histograms Challenge Bar and Scatter Plots Other Types of Graphs Challenge 1 Challenge 2

5. Joining Data

What is Joining Data?Left Join Right Join Inner Join Outer Join Concatenation

Outer Join

For instance, we can perform an outer join of the same two tables we used before.


              12345678910
            
# Importing library
import pandas as pd

# Loading data
data1 = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/f2947b09-5f0d-4ad9-992f-ec0b87cd4b3f/section5/data1.csv')
data2 = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/f2947b09-5f0d-4ad9-992f-ec0b87cd4b3f/section5/data2.csv')

# Perform a left join
df_res = data1.merge(data2, on = 'id', how = 'outer')
print(df_res)

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 5. Kapittel 5