kwakseonghun

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import random

tf.set_random_seed(777)

mnist = input_data.read_data_sets("/tmp/data/", one_hot = True)

# constants
training_epochs = 12

kwakseonghun

import tensorflow as tf

X = tf.placeholder("float")

init1 = 100
init = 0
step = 10
K = int(init1/step) - 1
W={}
b={}

kwakseonghun

import tensorflow as tf
import numpy as np
def MinMaxScaler(data):
    numerator = data - np.min(data, 0)
    denominator = np.max(data, 0) - np.min(data, 0)
    # noise term prevents the zero division
    return numerator / (denominator + 1e-7)
data_dim=50
output_dim=3

kwakseonghun

import pandas as pd

from pandas import DataFrame,Series

import pandas_datareader.data as web

import datetime

import numpy as np

kwakseonghun

import tensorflow as tf
import numpy as np
from tensorflow.contrib import rnn

def MinMaxScaler(data):
    numerator = data - np.min(data, 0)
    denominator = np.max(data, 0) - np.min(data, 0)
    # noise term prevents the zero division
    return numerator / (denominator + 1e-7)

kwakseonghun

import numpy as np
number_of_points=500                                               #수행횟수
x_point=[]                                                         # X랜덤변수 배열
y_point=[]
a=0.22
b=0.78
x=-1.5
x_po=[]
for i in range(number_of_points):
    x=x+0.006

kwakseonghun

class MyWindow(QMainWindow, form_class):
    def __init__(self):
    self.calltime=[]
    self.count=0
    ... #생략
    
    def timeout(self):
      ...  #생략
      self.stime = 1000*(current_time.hour() * 3600 + current_time.minute() * 60 + current_time.second())+current_time.msec()
      self.tcalltime=self.calltime          #임시저장

kwakseonghun

import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5 import uic
from kiwoomd import *
import sqlite3
import pandas as pd
from pandas import Series,DataFrame
import numpy as np
from datetime import date,timedelta

kwakseonghun

import sys
from PyQt5.QtWidgets import *
from PyQt5.QAxContainer import *
from PyQt5.QtCore import *
import time
import pandas as pd
import sqlite3