Data Exploration in Python using Pandas Package
This Python Jupyter Notebook contains step-by-step instructions to learn:
- Create a Pandas Series
- Create a Pandas DataFrame
- Differnce between Pandas Series and Pandas DataFrame
- How to get basic information about the Series and DataFrame
- Slicing and Filtering a DataFrame
- Adding, Deleting, and Updating a row in the DataFrame
- Update multiple rows in a column or columns in a DataFrame
- Adding and Deleting Columns to/from a DataFrame
- Creating a new DataFrame from a master DataFrame
- Pandas MERGE Statements - equivalent of SQL JOIN Statements
- Sorting a DataFrame
- Writing a Pandas DataFrame to a File
- Reading a CSV file and converting it to a Pandas DataFrame
- Groupby on a Pandas DataFrame
- Plotting data using Pandas