philackm/ScrollableGraphView
ScrollableGraphView
ScrollableGraphView 是一个 Swift 数据可视化库和 iOS 绘图框架，用于将离散数值数据集渲染为交互式图表。它提供了一个可滚动的用户界面组件，使用具有可配置布局和样式的坐标系来可视化数据点。
该框架的特点是其自适应图表缩放，当用户滚动时，它会自动调整垂直轴以适应可见数据点。它支持实时数据渲染，允许图表视图随着底层数据集通过动画过渡发生变化而即时更新。
该库涵盖了多种图表类型，包括折线图、柱状图和点图，并支持多数据集绘图以在单个图表上显示多个数据系列。其他功能包括 X 轴数据点标注、自定义图表样式，以及使用参考线标记来突出显示特定阈值或基准值。
Features
- iOS Plotting Frameworks - Serves as a comprehensive framework for displaying multiple data series on a single coordinate system with configurable layouts for iOS.
- Numerical Data Visualizers - Provides a framework for rendering discrete numerical datasets as interactive, scrollable graphs.
- Dynamic Viewport Scaling - Calculates vertical axis limits dynamically based on the minimum and maximum values of points currently visible.
- Visualization Coordinate Mapping - Implements logic to translate discrete numerical data values into visual pixel coordinates for chart rendering.
- Real-Time Plot Updates - Updates visual plot elements in real-time to reflect changes in the underlying numerical dataset.
- Swift Data Visualization Libraries - Provides a comprehensive set of tools for rendering discrete numerical datasets as interactive graphs and charts in Swift.
- Axis Scaling Engines - Manages dynamic vertical scale adjustments to maximize visual detail based on visible data points.
- Multi-Series Plotting - Displays multiple data series on a single graph to allow for direct comparison between value sets.
- Axis Scaling Transformations - Automatically adjusts the vertical axis scale to fit visible data points during scrolling.
- Mobile Data Visualization Libraries - Provides a library specifically optimized for rendering interactive charts and graphical data representations within native iOS environments.
- Dynamic Scaling Graph Views - Provides a scrollable UI component that automatically adjusts the vertical axis to fit visible data points as the user scrolls.
- Data Transition Animations - Provides smooth visual transitions for data points when numerical ranges or plot values are updated.
- Reference Line Annotations - Draws static horizontal or vertical markers to highlight thresholds or baseline values on the graph.
- Point Marker Styling - Defines visual representation of data points using custom shapes, sizes, and fill colors.
- Multi-Series Overlays - Supports drawing several independent datasets on the same axes, each with its own style and legend entry.
- Graph Layout Configurators - Configures margins, point spacing, and scroll direction to control dataset positioning and navigation.
- Layered Visualization Composition - Allows overlapping multiple visualization styles to let different data series share a single coordinate system.
- Real-Time Plot Rendering - Implements dynamic updating of visual elements to reflect live data streams in real time.
- Line Plots - Draws line graphs with customizable colors, widths, smoothing, and gradient area fills.
- Composite Plot Types - Combines different plot styles like lines and bars on a single graph for composite data views.
- Bar Style Customizers - Customizes bar chart appearance including width, outline thickness, colors, and corner rounding.
- Axis Labeling - Displays identifying labels for data points along the horizontal axis with configurable styling.
- Charting Components - Offers a customizable drawing tool for creating line, bar, and dot plots with animated transitions and reference lines.
- Chart Visual Style Customizations - Provides tools to customize the aesthetic appearance of bar, line, and dot plots.
- Charts - Visualizes discrete datasets with scrollable graphs.
- Data Visualization - Adaptive scrollable graphs for discrete datasets.
