linnil1

import subprocess
from os.path import expanduser, join
from concurrent.futures import ThreadPoolExecutor
import os
import time

def upload(path, name):
    rep = subprocess.run(["gdrive", "upload", path, "--delete", "-p", "0B2RYolW0g60rQmh2ZjNFWUZxZmM", "--name", name], stdout=subprocess.PIPE)
    rep = str(rep.stdout, "utf-8")
    # print(rep)

linnil1

import cv2
import numpy as np
import time

cap = cv2.VideoCapture(0)
while not cap.isOpened():
    print("Reset")
    time.sleep(0.1)
    cap = cv2.VideoCapture(0)

linnil1

var click = function(ch){
  e = new KeyboardEvent('keydown',{'keyCode':ch.charCodeAt()});
  document.getElementById("canvas").dispatchEvent(e);
}

var keypress = function(ch){
  var eventObj = document.createEvent("Events");
  eventObj.initEvent("keydown", true, true);
  eventObj.which = ch.toUpperCase().charCodeAt();
  document.getElementById("canvas").dispatchEvent(eventObj);

linnil1

import numpy as np
import matplotlib.pyplot as plt

f = 5 # frequence
A = 10 # amplitude

sf = 50 // f # sampling frequence
t = np.linspace(0, 1/f, 10 * sf)
fun = A * np.sin(f * 2 * np.pi * t)

linnil1

import numpy as np
import matplotlib.pyplot as plt

f = 150 # frequency
period_point = 10 # how many point each sampling interval
period = 50
sf = 200 * period // f # sampling times
t = np.linspace(0, period * 1 / f, period_point * sf)
fun = 4 * np.sin(100 * np.pi * t) + 4 * np.sin(300 * np.pi * t)

linnil1

import matplotlib.pyplot as plt
import numpy as np

# use latex
plt.rc('text', usetex=True)
plt.rc('font', family='serif')

x = np.linspace(0, 2 * np.pi, 100)

plt.subplot(411)

linnil1

import matplotlib.pyplot as plt
import numpy as np
sample_num = 100
lim = [0, 0.05]

x = np.linspace(-0.999999, 0.999999, sample_num)
plt.subplot(311)
num = np.arcsin(x[1:]) - np.arcsin(x[:-1])
plt.plot(x[:-1], num/2)
plt.title("derived formula")

linnil1

#include <DHT.h>
#include <Wire.h>
#include <LiquidCrystal_I2C.h>

const int       lightPin = 13,
                motorPin = 9,
                dhtPin = 8,
                temperture = 27; // strictly larger
int             lightFeq = 0,
                motorFeq = 0,

linnil1

import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import scipy.stats as st

us = [4.8949, 4.8957, 4.8939, 4.8932, 4.8954]
ts = [0.0004995, 0.0004992, 0.001768, 0.001757, 0.0006654]
n = 5000
tns = np.array(ts) / np.sqrt(n - 1)
print(us)

linnil1

import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import scipy.stats as st

data = np.array("1.0006 1.0072 0.9941 0.9918 0.9986 0.9991 1.0107 0.9981 1.0011 1.0218".split(), dtype=np.float)

data1 = np.array("0.9854 1.0056 1.0041 1.0132 0.9902 0.9876 1.0094 0.9815 0.9999 1.0027".split(), dtype=np.float)