This webinar will introduce a new open source JupyterLab extension for editing Plotly charts through a user-friendly point-and-click interface. We will demonstrate how Python users can construct and save plots using plotly.py and then open and edit them using the new chart editor, all without leaving JupyterLab. We will cover how the chart editor can be used to style traces, legends, axis labels, fonts, annotations, and more!