micropython-nano-gui/gui/demos/fpt.py

# fpt.py Test/demo program for framebuf plot. Cross-patform,
# but requires a large enough display.
# Tested on Adafruit ssd1351-based OLED displays:
# Adafruit 1.5" 128*128 OLED display: https://www.adafruit.com/product/1431
# Adafruit 1.27" 128*96 display https://www.adafruit.com/product/1673

# Released under the MIT License (MIT). See LICENSE.
# Copyright (c) 2018-2020 Peter Hinch

# Initialise hardware and framebuf before importing modules.
from color_setup import ssd  # Create a display instance

import cmath
import math
import utime
import uos
from gui.core.writer import Writer, CWriter
from gui.core.fplot import PolarGraph, PolarCurve, CartesianGraph, Curve, TSequence
from gui.core.nanogui import refresh
from gui.widgets.label import Label

refresh(ssd)

# Fonts
import gui.fonts.arial10 as arial10
import gui.fonts.freesans20 as freesans20

from gui.core.colors import *

CWriter.set_textpos(ssd, 0, 0)  # In case previous tests have altered it
wri = CWriter(ssd, arial10, GREEN, BLACK, verbose=False)
wri.set_clip(True, True, False)

def cart():
    print('Cartesian data test.')
    def populate_1(func):
        x = -1
        while x < 1.01:
            yield x, func(x)  # x, y
            x += 0.1

    def populate_2():
        x = -1
        while x < 1.01:
            yield x, x**2  # x, y
            x += 0.1

    refresh(ssd, True)  # Clear any prior image
    g = CartesianGraph(wri, 2, 2, yorigin = 2, fgcolor=WHITE, gridcolor=LIGHTGREEN) # Asymmetric y axis
    curve1 = Curve(g, YELLOW, populate_1(lambda x : x**3 + x**2 -x,)) # args demo
    curve2 = Curve(g, RED, populate_2())
    refresh(ssd)

def polar():
    print('Polar data test.')
    def populate():
        def f(theta):
            return cmath.rect(math.sin(3 * theta), theta) # complex
        nmax = 150
        for n in range(nmax + 1):
            yield f(2 * cmath.pi * n / nmax)  # complex z
    refresh(ssd, True)  # Clear any prior image
    g = PolarGraph(wri, 2, 2, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curve = PolarCurve(g, YELLOW, populate())
    refresh(ssd)

def polar_clip():
    print('Test of polar data clipping.')
    def populate(rot):
        f = lambda theta : cmath.rect(1.15 * math.sin(5 * theta), theta) * rot # complex
        nmax = 150
        for n in range(nmax + 1):
            yield f(2 * cmath.pi * n / nmax)  # complex z
    refresh(ssd, True)  # Clear any prior image
    g = PolarGraph(wri, 2, 2, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curve = PolarCurve(g, YELLOW, populate(1))
    curve1 = PolarCurve(g, RED, populate(cmath.rect(1, cmath.pi/5),))
    refresh(ssd)

def rt_polar():
    print('Simulate realtime polar data acquisition.')
    refresh(ssd, True)  # Clear any prior image
    g = PolarGraph(wri, 2, 2, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curvey = PolarCurve(g, YELLOW)
    curver = PolarCurve(g, RED)
    for x in range(100):
        curvey.point(cmath.rect(x/100, -x * cmath.pi/30))
        curver.point(cmath.rect((100 - x)/100, -x * cmath.pi/30))
        utime.sleep_ms(60)
        refresh(ssd)

def rt_rect():
    print('Simulate realtime data acquisition of discontinuous data.')
    refresh(ssd, True)  # Clear any prior image
    g = CartesianGraph(wri, 2, 2, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curve = Curve(g, RED)
    x = -1
    for _ in range(40):
        y = 0.1/x if abs(x) > 0.05 else None  # Discontinuity
        curve.point(x, y)
        utime.sleep_ms(100)
        refresh(ssd)
        x += 0.05
    g.clear()
    curve = Curve(g, YELLOW)
    x = -1
    for _ in range(40):
        y = -0.1/x if abs(x) > 0.05 else None  # Discontinuity
        curve.point(x, y)
        utime.sleep_ms(100)
        refresh(ssd)
        x += 0.05
    

def lem():
    print('Lemniscate of Bernoulli.')
    def populate():
        t = -math.pi
        while t <= math.pi + 0.1:
            x = 0.5*math.sqrt(2)*math.cos(t)/(math.sin(t)**2 + 1)
            y = math.sqrt(2)*math.cos(t)*math.sin(t)/(math.sin(t)**2 + 1)
            yield x, y
            t += 0.1
    refresh(ssd, True)  # Clear any prior image
    Label(wri, 82, 2, 'To infinity and beyond...')
    g = CartesianGraph(wri, 2, 2, height = 75, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curve = Curve(g, YELLOW, populate())
    refresh(ssd)

def liss():
    print('Lissajous figure.')
    def populate():
        t = -math.pi
        while t <= math.pi:
            yield math.sin(t), math.cos(3*t)  # x, y
            t += 0.1
    refresh(ssd, True)  # Clear any prior image
    g = CartesianGraph(wri, 2, 2, fgcolor=WHITE, gridcolor=LIGHTGREEN)
    curve = Curve(g, YELLOW, populate())
    refresh(ssd)

def seq():
    print('Time sequence test - sine and cosine.')
    refresh(ssd, True)  # Clear any prior image
    # y axis at t==now, no border
    g = CartesianGraph(wri, 2, 2, xorigin = 10, fgcolor=WHITE,
                       gridcolor=LIGHTGREEN, bdcolor=False)
    tsy = TSequence(g, YELLOW, 50)
    tsr = TSequence(g, RED, 50)
    for t in range(100):
        g.clear()
        tsy.add(0.9*math.sin(t/10))
        tsr.add(0.4*math.cos(t/10))
        refresh(ssd)
        utime.sleep_ms(100)

print('Test runs to completion.')
seq()
utime.sleep(1.5)
liss()
utime.sleep(1.5)
rt_rect()
utime.sleep(1.5)
rt_polar()
utime.sleep(1.5)
polar()
utime.sleep(1.5)
cart()
utime.sleep(1.5)
polar_clip()
utime.sleep(1.5)
lem()