matplotlib-d ~develop
2D Plotting library for D using python and matplotlib
To use this package, run the following command in your project's root directory:
Manual usage
Put the following dependency into your project's dependences section:
matplotlib-d
2D Plotting library for D using python and matplotlib.
Requirements
- Python
- matplotlib
Usage
Installation
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.
Syntax
Most pyplot functions are avilable.
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])
Examples
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();
}
- Registered by TANI Kojiro
- ~develop released 8 years ago
- koji-kojiro/matplotlib-d
- MIT
- Copyright © 2016, koji-kojiro
- Authors:
- Dependencies:
- none
- Versions:
-
0.1.7 2020-Jul-22 0.1.6 2019-Feb-20 0.1.5 2018-Dec-07 0.1.4 2016-Dec-26 0.1.3 2016-Dec-25 - Download Stats:
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- Score:
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- Short URL:
- matplotlib-d.dub.pm