Re:점심시간 문제: 위에는 시가 데이터를 라벨 정답으로 만들었지만 민혁이가 추천한 종가로 정답이 만들어지게 하시오

[11기_김서준]

import tensorflow as tf
from tensorflow.keras.layers import Dense, LSTM, Dropout
from tensorflow.keras import Sequential
import numpy as np
import datetime
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler

# 1. 주가 데이터를 로드 합니다.
data = pd.read_csv("D:/Desktop/Itwill ws/rnn/goog.csv")

# 2. 
data['Date'] = pd.to_datetime(data['Date'])
split_date = datetime.datetime(2009, 1, 1)
training_data = data[data['Date'] < split_date].copy()
test_data = data[data['Date'] >= split_date].copy()

# 3.
training_data = training_data.drop(['Sym', 'Date', 'Adj Close'], axis=1)
training_data.head()

# 4. 정규화 
scaler = MinMaxScaler()
training_data = scaler.fit_transform(training_data)

# 5.
x_train = []
y_train = []

for i in range(60, training_data.shape[0]):
    x_train.append(training_data[i-60:i])
    y_train.append(training_data[i, 3])

print(x_train)
print(y_train)