柔軟な凡例位置でチャートレイアウトを最適化

LightningChart Python is a high-performance visualization library designed for real-time analytics and large-scale data rendering. Utilizing GPU acceleration and WebGL, it efficiently processes millions of data points in 2D and 3D with smooth, interactive visuals. Some example chart types include Line graphs, Scatter plots, Heatmaps, Area plots, Box plots, 3D Surface graphs and Mesh plots, and it supports UI elements such as CustomTicks, interval Bands and Constant Lines. It seamlessly integrates with Python’s data ecosystem, including numpy, pandas, and GUI frameworks like PyQt and PySide, making it a powerful tool for interactive dashboards, financial analytics, scientific simulations, and engineering applications.

The LightningChart Python v2.0 update introduces flexible legend positioning, giving developers precise control over where legends appear within their charts. This enhancement allows legends to be placed above, below, beside, or inside the chart area, enabling better use of available space and improved readability across different layouts. By adapting legend placement to suit varying screen sizes, data densities, and design requirements, developers can create cleaner, more efficient visualizations that align seamlessly with their application’s user interface and presentation goals.

To see a full list of what's new in v2.0, see our release notes.

LightningChart Python offers two licensing options: the subscription-based Data Scientist License for internal, non-public facing usage and the perpetual, per-seat Software Developer License for commercial use with professional support and deployment keys. Both licenses allow one active session per user, with developer licenses assigned individually. See our LightningChart Python licensing page for full details.

For more information, see our LightningChart Python product page.