clipd 0.1.2

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clipd — Command Line Interface for Pandas

A lightweight terminal-native CLI tool for exploring, cleaning, and transforming CSV data using the power of Pandas — right from your command line.

• Built using Typer, Rich and Panda.
• Designed for speed, control and effortless ETL

⚠️ Note:
This is reference documentation.
clipd is under active development and version 0.0.1 will soon be released to PyPI. Until then, feel free to explore the sample functionality shown below.

Current Available Functions

Here's what clipd can do right now:

Initialise Clipd

• clipd init Initialises clipd in the current directory.

File Management

• clipd connect <file.csv>
  Connects a dataframe file for processing. All operations will apply to this active file. (Make sure the file exists in the directory clipd is initialised in)

• clipd disconnect
  Safely disconnects the currently active file.

Data Description

• clipd describe
  Provides a detailed overview of the connected file. Supports flags like --head, --tail, --all, --null, --unique etc.

Log Management

• clipd log
  View structured logs of all operations performed during the session. Supports flags like '--lines 8` to veiw exact number of log lines.

• clipd log clear
  Cleanly wipes the operation history.

Error Handling

• Clean, readable terminal error messages with helpful guidance.
• No cryptic stack traces

Exporting

• Export your transformed dataset to various formats: clipd export : defaults to CSV. Also supports:
  • .xlsx
  • .json

Once installed, here’s how clipd commands feel in your terminal workflow:

clipd init
clipd connect <file>
clipd describe
clipd describe --head
clipd describe --null
clipd describe --unique --dtypes
clipd export --filename yadh --xlsx
clipd disconnect
clipd log
clipd log clear

Future Prospects

As the soul and sole developer, I add new functionalities and fix bugs in the code every day.

• Expand to all major Pandas commands
• Git style verson-control for dataframes
• Pipeline support
• Export the clipd actions as a .py/.ipynb file.
• Perform basic ML algorithms.

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Author

Made with love and --force by Yadhnika Wakde

I hope clipd grows into a useful tool and makes etl easier and faster.