philackm/ScrollableGraphView
ScrollableGraphView
ScrollableGraphView est une bibliothèque de visualisation de données Swift et un framework de traçage iOS utilisé pour rendre des jeux de données numériques discrets sous forme de graphiques interactifs. Il fournit un composant d'interface utilisateur défilant qui visualise les points de données en utilisant un système de coordonnées avec des mises en page et des styles configurables.
Le framework se caractérise par son adaptation d'échelle de graphique, qui ajuste automatiquement l'axe vertical pour s'adapter aux points de données visibles au fur et à mesure que l'utilisateur fait défiler. Il prend en charge le rendu de données en temps réel, permettant aux vues graphiques de se mettre à jour instantanément à mesure que les jeux de données sous-jacents changent via des transitions animées.
La bibliothèque couvre une variété de types de tracés, incluant les tracés linéaires, en barres et en points, et prend en charge le traçage multi-séries pour afficher plusieurs séries de données sur un seul graphique. Des capacités supplémentaires incluent l'étiquetage des points de données sur l'axe X, le style de graphique personnalisé et l'utilisation de marqueurs de ligne de référence pour mettre en évidence des seuils ou des valeurs de base spécifiques.
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.
