streamlines data science and machine learning workflows by removing the hassle of manually finding and writing file paths. Users will be able to simply drag and drop a dataset into a Jupyter Notebook or Python script, and the extension automatically generates a reproducible, relative path. It also i
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
A productivity extension for Data Scientists and MLOps Engineers to streamline local data ingestion.
The Problem It Solves
Data workflows often start with tedious boilerplate: calculating relative paths for CSVs across different environments, remembering whether you are in notebooks/ or src/, and typing out standard pandas imports repeatedly.
CSV Path Importer turns data ingestion into a simple drag-and-drop motion, intelligently generating relative paths and dynamic variables so you can get straight to the analysis.
Core Features
Intelligent Drag-and-Drop: Drag a .csv file into any Python script or Jupyter Notebook to instantly generate the necessary code.
Smart Relative Pathing: Automatically calculates the correct relative path from the active file to the dataset, ensuring reproducibility across environments (bypassing hardcoded absolute path errors).
Context-Aware Variable Numbering: Automatically increments variables (e.g., df_1, df_2 or file_path_1, file_path_2) preventing you from accidentally overwriting earlier datasets in the same session.
Duplicate Import Prevention: Scans your Jupyter Notebook cells; if import pandas as pd already exists, it smartly omits redundant import blocks.
Quick-Toggle Modes: Use the VS Code Command Palette to instantly switch between generating a full Pandas boilerplate or just a raw relative file path variable.
How to Use It
Open a .py or .ipynb file.
Find a .csv file in your VS Code Explorer.
Hold the Shift key and drag the file directly into your code editor.
The extension instantly generates the relative path and ingestion code.
To swap output modes:
Open the Command Palette (Ctrl+Shift+P or Cmd+Shift+P), type CSV Path Importer: Switch Drop Template, and select either Pandas Boilerplate or Raw File Path Variable.
Built With
TypeScript * VS Code Extension API (DocumentDropEditProvider, WorkspaceConfiguration)
