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