Basic Charts

Essential visualization components.

Basic Charts Package

Basic Charts contains twelve visualization bricks for creating standard chart types. The package includes components for displaying data distributions, comparisons, relationships, and trends.


Chart Types

Comparison Charts

  • Bar Chart - Compare values across categories with vertical bars
  • Grouped Bar Chart - Compare multiple series across categories with grouped bars
  • Stacked Bar Chart - Show category totals with stacked components

Distribution Analysis

  • Histogram - Show frequency distribution of numeric data in bins
  • Density - Display data distribution as a smooth curve
  • Stacked Density - Compare distribution curves across groups

Relationship Visualization

  • Scatterplot - Display relationships between two numeric variables
  • Colored Scatterplot - Show relationships between two variables with color-coded points
  • Heatmap - Visualize data intensity across two dimensions using color

Trend Analysis

  • Line Chart - Track trends with connected data points
  • Multi-line Chart - Compare multiple trend lines on one chart

Part-to-Whole

  • Pie Chart - Show proportions of categories as slices

Data Input

All charts accept multiple data formats:

  • List
  • DataSeries
  • NDArray
  • DataRecords
  • DataFrame

Package Info

version v0.1.4
python 3.10, 3.11, 3.12, 3.13