https://github.com/nstansby/rpi-rotary-encoder-python

[김민성] [오후 9:37] [라즈베리파이 + DC모터 + PYTHON] 2. 라즈베리파이로 엔코더 읽기 : 네이버 블로그 - https://m.blog.naver.com/PostView.naver?isHttpsRedirect=true&blogId=roboholic84&logNo=221045887703

from RPi.GPIO import GPIO
from time import sleep

CLK = 21
DT = 20

GPIO.setmode(GPIO.BCM)
GPIO.setup(CLK, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.setup(DT, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)

counter_now = 0
clkLastState = GPIO.input(CLK)

def Test(channel):

    clkState = GPIO.input(CLK)
    dtState = GPIO.input(DT)
    if clkState != clkLastState:
        if dtState != clkState:
            counter_now += 1
        else:
            counter_now -= 1
    print (counter_now)
    clkLastState = clkState
    sleep(0.005)

GPIO.add_event_detect(CLK, GPIO.RISING, callback=Test)

while True :
    print (CLK, DT, counter_now)

from RPi import GPIO
from time import sleep

clk = 17
dt = 18

GPIO.setmode(GPIO.BCM)
GPIO.setup(clk, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.setup(dt, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)

counter = 0
clkLastState = GPIO.input(clk)

try:

        while True:
                clkState = GPIO.input(clk)
                dtState = GPIO.input(dt)
                if clkState != clkLastState:
                        if dtState != clkState:
                                counter += 1
                        else:
                                counter -= 1
                        print counter
                clkLastState = clkState
                sleep(0.01)
finally:
        GPIO.cleanup()

import random from itertools import count import pandas as pd import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation

plt.style.use('fivethirtyeight')

x_val = [] y_val = []

index = count()

def animate(i): x_val.append(next(index)) y_val.append(random.randint(0,5)) plt.cla() plt.plot(x_val, y_val)

ani = FuncAnimation(plt.gcf(), animate, interval = 1000)

plt.tight_layout() plt.show()

index = count()

next(index) -> 순차적인 수를 생성해냅니다.

random.randint(0,5) -> 0~5 사이의 랜덤한 정수를 생성합니다.

plt.cla() -> 앞선 그래프를 삭제합니다.