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Data Visualization Components

Animora provides educational chart components built on a Dual-Correctness Architecture: mathematical data transforms (computational correctness) are isolated from Manim visual animation generation.

1. Components Catalog

  • Axes: 2D coordinate system providing pure mathematical c2p(x, y) and p2c(point) mappings.
  • BarChart: Maps categorical and numerical data to proportional bar heights with animate_grow() and animate_highlight_bar().
  • LineChart: Connects data coordinates with Connector line segments and vertex dots with animate_draw().
  • ScatterPlot: Translates data pairs to scene coordinates with animate_plot().
  • Histogram: Computes statistical frequency distributions matching numpy.histogram reference with animate_grow().
  • Table: Tabular grid visualizer arranged via Phase 4 GridLayout with animate_highlight_cell().

2. Usage Example

from animora.core import Scene
from animora.dataviz import BarChart, Table
from animora.theme import ModernDark, use_theme


class ChartDemo(Scene):
    def construct(self) -> None:
        with use_theme(ModernDark):
            chart = BarChart(
                data=[("MergeSort", 45), ("QuickSort", 30), ("BubbleSort", 120)],
            )
            self.play(chart.animate_grow())
            self.play(chart.animate_highlight_bar(1, color="#10B981"))