2D Plotting library for V, inspired by Python's matplotlib
import vplotlib as vpl import gx fn main() { x, x1, y, y1, s := ... // inputs mut fig := vpl.new_figure(rows: 1)! fig.plot([ vpl.line(x: x1, y: y1), vpl.line(x: x, y: y, color: gx.green, line_type: .dashed), vpl.scatter(x: x, y: y, s: s, color: gx.red), vpl.scatter(x: x1, y: y1, s: s, color: gx.cyan, marker: .square), ])! fig.set_title('Hello Plot') fig.set_xlabel('x-axis') fig.set_ylabel('y-axis') fig.show() }
mut fig := vpl.new_figure(rows: 2, cols: 2)! fig.subplot(0, 0, [vpl.line(x: x1, y: y1)])! fig.subplot(0, 1, [vpl.line(x: x, y: y, color: gx.green, line_type: .dashed)])! fig.subplot(1, 0, [vpl.scatter(x: x, y: y, s: s, color: gx.red)])! fig.subplot(1, 1, [vpl.scatter(x: x1, y: y1, s: s, color: gx.cyan, marker: .square)])! fig.set_attributes(0, 0, title: 'SubPlot00', xlabel: 'x-axis', ylabel: 'y-axis')! fig.set_attributes(0, 1, title: 'SubPlot01', xlabel: 'x-axis', ylabel: 'y-axis')! fig.set_attributes(1, 0, title: 'SubPlot10', xlabel: 'x-axis', ylabel: 'y-axis')! fig.set_attributes(1, 1, title: 'SubPlot11', xlabel: 'x-axis', ylabel: 'y-axis')! fig.show()
Suppose anybody wants to add a new type of plot i.e. violin plot, then do the following:
- Add a new file
src/violin.v. Ideally this is the only file that needs to be added/edited. - This file must contain the following:
- A struct that implements
interface Plot. The struct need not be public. The name of struct should be likeViolinPlot - A public function with same name as the plot and returns
ViolinPlot, i.e.pub fn violin(ViolinParams) ViolinPlot. This function will be used by end-user. This function should contain any preprecessing logic that is required. - A pub struct like
ViolinParamsthat helps taking inputs and setting default values required by the plot. - Finally a private function that contains actual logic to draw the plot. i.e.
fn (plot &ViolinPlot) draw(ctx &gg.Context, sfig &SubFigure)
- A struct that implements
- Add an example for the new plot in
examples/and test it. - Ideally this should be enough and no other files needs to be touched.
| line ✅ | scatter ✅ | histogram |
| bar | stackedbar | groupedbar |
| box | stem | heatmap |
| pie | polar | logaxis |