labelpandas 0.1.15

Labelbox Connector for Pandas

Labelbox Connector for Pandas

Access the Labelbox Connector for Pandas, an open-source Python API that handles CSVs and Dataframes very well

• labelpandas.client.create_data_rows_from_table : Creates Labelbox data rows (and metadata) given a Pandas table (example notebook)
• labelpandas.client.create_table_from_dataset : Creates a Pandas table given a Labelbox dataset (coming soon)
• labelpandas.client.upsert_table_metadata : Updates Pandas table metadata columns given a Labelbox dataset (coming soon)
• labelpandas.client.upsert_labelbox_metadata : Updates Labelbox metadata given a Pandas table (coming soon)

The Demo code supplied in this Github is designed to run in a Google Colab, but the code can be adapted to any notebook environment.

Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit Labelbox for more information.

This library is currently in beta. It may contain errors or inaccuracies and may not function as well as commercially released software. Please report any issues/bugs via Github Issues.

Table of Contents

• Requirements
• Configuration
• Use

Requirements

• Labelbox account
• Generate a Labelbox API key

Configuration

Install labelpandas to your Python environment. The installation will also add the Labelbox SDK.

pip install labelpandas
import labelpandas

Use

The client class requires the following arguments:

• lb_api_key = Labelbox API Key