Python uses PyJanitor's join, concatenate, and merge functions for data merging
Preparation work:
1. Ensure that the Python environment has been installed and can be accessed from the official website https://www.python.org/downloads/ Download the latest version of Python from.
2. Install the PyJanitor class library, which can be installed from the command line using the following command:
pip install pyjanitor
Dependency Class Library:
-Pandas: Class library for data processing and operations.
Sample data:
Assuming there are two datasets, as follows:
**Dataset 1 * *:
|ID | Name | Age|
|------|
|1 | John | 25|
|2 | Alice | 30|
|3 | Michael | 28|
**Dataset 2 * *:
|ID | City | Occupation|
|------ | ------ | ------|
|1 | London | Engineer|
|2 | New York | Doctor|
|4 | Paris | Teacher|
The example code is as follows:
python
import pandas as pd
import janitor
#Create Dataset 1
data1 = pd.DataFrame({
'ID': [1, 2, 3],
'Name': ['John', 'Alice', 'Michael'],
'Age': [25, 30, 28]
})
#Create Dataset 2
data2 = pd.DataFrame({
'ID': [1, 2, 4],
'City': ['London', 'New York', 'Paris'],
'Occupation': ['Engineer', 'Doctor', 'Teacher']
})
#Use the join function to connect Dataset 1 and Dataset 2 according to the ID field
joined_data = data1.join(data2, on='ID')
#Merge Dataset 1 and Dataset 2 by row using the concatenate function
concatenated_data = pd.concat([data1, data2], axis=0)
#Merge Dataset 1 and Dataset 2 by ID field using the merge function
merged_data = data1.merge(data2, on='ID')
Print ("Join operation result:")
print(joined_data)
Print ("Concatenate operation result:")
print(concatenated_data)
Print ("Merge operation result:")
print(merged_data)
After executing the above code, the results of three different operations will be output.
Summary:
PyJanitor is a Python class library for Data cleansing and processing, which provides convenient functions for data merge operations. Among them, the join function is used to connect two datasets, the concatenate function is used to merge datasets by row, and the merge function is used to merge datasets by specified fields. By using these functions, it is easy to perform dataset merging operations.