Data Merging in Python
Combining multiple datasets.
1
Data Merging in Python
In data analysis, combining datasets is a common task. Python provides powerful tools in Pandas to merge, join, and concatenate datasets efficiently. This lesson covers key techniques for merging data in Python.
2
Concatenation
Concatenation combines datasets by stacking them along rows or columns. Use the pd.concat() function for this.
Example:
import pandas as pd
data1 = {'Name': ['Alice'], 'Age': [25]}
data2 = {'Name': ['Bob'], 'Age': [30]}
df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2)
df = pd.concat([df1, df2])All lessons in this course
- Types of Data
- Handling Missing Data
- Data Normalization
- Data Merging in Python
- Feature Extraction from Data