preprocess_btc.py

# Library Imports
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
plt.style.use("ggplot")

from keras.models import Sequential
from keras.layers import LSTM, Dense, Dropout

# Loading/Reading in the Data
df = pd.read_csv("BTC-USD.csv")

# Data Preprocessing
### Setting the datetime index as the date, only selecting the 'Close' column, then only the last 1000 closing prices.
df = df.set_index("Date")[['Close']].tail(1000)
df = df.set_index(pd.to_datetime(df.index))

# Normalizing/Scaling the Data
scaler = MinMaxScaler()
df = pd.DataFrame(scaler.fit_transform(df), columns=df.columns, index=df.index)