2D Plotting library for D using python and matplotlib.
- Python
- matplotlib
matplotlib-d uses python3 by default, thus if you want to use python2, set $MATPLOTLIB_D_PYTHON to python2.
To use this package, put the following dependency into your project's dependencies section:
dub.json: "matplotlib-d": "~>0.1.4"
dub.sdl: dependency "matplotlib-d" version="~>0.1.4"
For small applications or scripts, add following sentence to the head of your script.
#!/usr/bin/env dub
/+ dub.sdl:
name "name_of_your_application"
dependency "matplotlib-d" version="~>0.1.4"
+/And excute with dub run --single.
For more details, please refer to the documentation of dub.
Most pyplot functions are available.
For more details for each functions, please refer to the documantation of pyplot.
Describe Python keyword arguments as an associative array with string of keyword name as key.
- The Python way:
function(arg1, arg2..., keyword1=kwarg1, keyword2=kwarg2...) - The D way:
function(arg1, arg2..., ["keyword1": kwarg1], ["keyword2": kwarg2])
Simple example:
import std.math;
import std.range;
import std.algorithm;
import plt = matplotlibd.pyplot;
void main() {
auto x = iota(0, 2.05, 0.05).map!(x => x * PI);
auto y = x.map!(sin);
plt.plot(x, y, "r-", ["label": "$y=sin(x)$"]);
plt.xlim(0, 2 * PI);
plt.ylim(-1, 1);
plt.legend();
plt.savefig("simple.png");
plt.clear();
}
Color plot example:
import std.range;
import plt = matplotlibd.pyplot;
void main() {
const n = 100;
auto x = iota(n);
auto y = x[];
double[n][n] z;
foreach (i; 0..n)
foreach (j; 0..n)
z[i][j] = i + j;
plt.contourf(x, y, z, 64, ["cmap": "hsv"]);
plt.colorbar();
plt.savefig("color.png");
plt.clear();
}