from app import app
from app import server
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
from datetime import datetime
import dash_table
import pandas as pd
from PriceIndices import MarketHistory, Indices
# import get_coin_data function from data.py
from data import get_coin_data
history = MarketHistory()
colors = {'background': '#111111', 'background2': '#FF0', 'text': 'yellow'}
coin_list = ['bitcoin', 'ethereum', 'ripple', 'bitcoin-cash']
tabs_styles = {'height': '51px'}
tab_style = {
'borderBottom': '1px solid #d6d6d6',
'padding': '2px',
'fontWeight': 'bold'
}
tab_selected_style = {
'borderTop': '1px solid #d6d6d6',
'borderBottom': '1px solid #d6d6d6',
'backgroundColor': 'black',
'color': 'yellow',
'padding': '10px'
}
from PriceIndices import MarketHistory
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import pickle
import tensorflow as tf
config = tf.ConfigProto(intra_op_parallelism_threads=0,
inter_op_parallelism_threads=0,
allow_soft_placement=True)
session = tf.Session(config=config)
from sklearn.preprocessing import MinMaxScaler
from keras.models import Sequential
from keras.layers import Dense, Dropout, LSTM
price = MarketHistory()
def price_predict(coin, start_date, end_date):
print('Your inputs are {0}, {1}, and {2}'.format(coin, start_date,
end_date))
df = price.get_price(str(coin), str(start_date), str(end_date))
df['date'] = pd.to_datetime(df['date'])
df = df.sort_values(by='date')
df = df.set_index(df['date'])[['price']]
print('Price data of {0} days have been extracted.'.format(len(df)))
from app import app
from app import server
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
from datetime import datetime
import pandas as pd
from PriceIndices import MarketHistory, Indices
history = MarketHistory()
df = history.get_price('bitcoin', '20130428',
'20200510') # Get Bitcoin price data
df['date'] = pd.to_datetime(df['date'])
colors = {'background': '#111111', 'background2': '#FF0', 'text': 'yellow'}
app.layout = html.Div(
[
html.H1('Bitcoin Price Graph',
style={
'textAlign': 'center',
"background": "yellow"
}),
html.Div(
[
'Date selector for graphs.', # add DateRangePicker here
dcc.DatePickerRange(id='date-input',
stay_open_on_select=False,
min_date_allowed=datetime(2018, 1, 2),
max_date_allowed=datetime(2019, 12, 31),
initial_visible_month=datetime(
2019, 6, 30),
start_date=datetime(2019, 1, 2),