matplotobjlib 1.0.1

Declarative, objected-oriented interface to matplotlib

matplotobjlib

This module is a wrapper for matplotlib, that enables creating plots in an easier declarative, more object-oriented format.

All functions and types are importable directly from matplotobjlib. The easiest way to get started is with matplotoblib.draw(...). This function takes either a single Suplot object or a 2d sequence of Subplots where each inner sequence represents a row. Each Subplot consists of 1 or more Plotables, the most useful being Graph.

# examples/sin.py

from matplotobjlib import draw, Graph, SubPlot
import numpy as np

xs = np.arange(-2*np.pi, 2*np.pi, 0.01)
ys = np.sin(xs)
draw(SubPlot(Graph(xs, ys, plot_type="-"), x_label="x", y_label="sin(x)"), title="sin")

# examples/trig.py

from matplotobjlib import draw, Graph, SubPlot
import numpy as np

xs = np.arange(-2*np.pi, 2*np.pi, 0.01)
draw(
    [
        [
            SubPlot(Graph(xs, np.sin(xs), plot_type="-"), x_label="x", y_label="sin(x)"),
            SubPlot(Graph(xs, np.cos(xs), plot_type="-"), x_label="x", y_label="cos(x)"),
        ],
        [
            SubPlot(Graph(xs, np.tan(xs), plot_type="-"), x_label="x", y_label="tan(x)"),
            SubPlot(Graph(xs, np.arcsin(xs), plot_type="-"), x_label="x", y_label="sin$^{-1}$(x)"),
        ]
    ],
    title="Trigonometry",
)

Additionally, for more control over the window, it can be accessed as a tkinter widget through TkFigure. The draw(...) function even uses this internally.

# examples/widget.py

import tkinter as tk
import numpy as np
from matplotobjlib import Graph, SubPlot, TkFigure

ts = np.arange(0, 10, 0.01)
xs = [t * np.cos(t) for t in ts]
ys = [t * np.sin(t) for t in ts]

root = tk.Tk()
widget = TkFigure(
    root, [[SubPlot(Graph(xs, ys, plot_type="-"), x_label="t*cos(t)", y_label="t*sin(t)")]], title="examples/widget.py"
)
widget.pack(expand=tk.YES, fill=tk.BOTH)
root.mainloop()