Developed Python scripts for data manipulation and storage

📅 2023-05-22 — Session: Developed Python scripts for data manipulation and storage

🕒 02:30–03:00
🏷️ Labels: Python, Data Manipulation, File Handling, Pandas, Numpy
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The goal of this session was to develop Python scripts for manipulating data and saving it in various formats, including JSON, text, and CSV files.

Key Activities:

1. Implemented a Python script to save modified style data to a JSON file, utilizing a base name variable for filename formatting.
2. Developed a method to generate base names from series data with two-level indices, facilitating the creation of modified style file copies.
3. Utilized NumPy’s ravel function to flatten nested arrays in a Pandas Series before generating base names.
4. Demonstrated the use of the iterrows() method to iterate over a Pandas series with multi-level indices, generating combined base names.
5. Converted a DataFrame into a multi-index series to generate base names by combining index values with unique elements from the series.
6. Created a Python script to generate base names from a DataFrame using specific tags and saved them to a text file.
7. Developed a Python script to save data to CSV files, including the length of a list and its associated styles.

Achievements: Successfully developed and tested multiple Python scripts for data manipulation and storage, enhancing the ability to handle complex data structures and export them in various formats.

Pending Tasks:

• Review and optimize the scripts for performance and scalability.
• Integrate these scripts into a larger data processing pipeline if applicable.