Skip to main content
Version: 1.4.0 (latest)

sources._single_file_templates.dataframe_pipeline

The DataFrame Pipeline Template will show how to load and transform pandas dataframes.

resource

@dlt.resource(write_disposition="append", name="people")
def resource()

[view_source]

One resource function will materialize as a table in the destination, wie yield example data here

add_updated_at

def add_updated_at(item: pd.DataFrame)

[view_source]

Map function to add an updated at column to your incoming data.

source

@dlt.source
def source()

[view_source]

A source function groups all resources into one schema.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.