Fix data extraction issue.

Medium_Files/dashboard_demo/data.py

@@ -1,27 +1,40 @@
-from PriceIndices import Indices, MarketHistory
 import pandas as pd
 import numpy as np
+from datetime import datetime
 from pycoingecko import CoinGeckoAPI
+from PriceIndices import Indices, MarketHistory
+
 
 cg = CoinGeckoAPI()
 history = MarketHistory()
 
 
 def get_coin_data(
- crypto="bitcoin", start_date="20130428", end_date="20200501", save_data=None
+ crypto="bitcoin", start_date="20130428", end_date="2021501", save_data=None
 ):
- df = history.get_price(crypto, start_date, end_date)
- df_bi = Indices.get_bvol_index(df)
+ try:
+ df = history.get_price(crypto, start_date, end_date)
+ assert df is not None
+ except:
+ date1 = 1367074800
+ date2 = int(datetime.today().timestamp())
+ data = cg.get_coin_market_chart_range_by_id("bitcoin-cash", "usd", date1, date2)["prices"]
+ df = pd.DataFrame(data=data, columns=["date", "price"])
+ df["date"] = df["date"].apply(lambda x: datetime.fromtimestamp(x/1000).strftime("%Y-%m-%d"))
+ df["date"] = pd.to_datetime(df["date"])
+
+ indices = Indices(df)
+ df_bi = indices.get_vola_index()
  df_bi.drop("price", axis=1, inplace=True)
- df_rsi = Indices.get_rsi(df)
+ df_rsi = indices.get_rsi()
  df_rsi.drop(["price", "RS_Smooth", "RSI_1"], axis=1, inplace=True)
- df_sma = Indices.get_simple_moving_average(df)
+ df_sma = indices.get_simple_moving_average()
  df_sma.drop(["price"], axis=1, inplace=True)
- df_bb = Indices.get_bollinger_bands(df)
+ df_bb = indices.get_bollinger_bands()
  df_bb.drop(["price"], axis=1, inplace=True)
- df_ema = Indices.get_exponential_moving_average(df, [20, 50])
+ df_ema = indices.get_exponential_moving_average([20, 50])
  df_ema.drop(["price"], axis=1, inplace=True)
- df_macd = Indices.get_moving_average_convergence_divergence(df)
+ df_macd = indices.get_moving_average_convergence_divergence()
  df_macd.drop(["price"], axis=1, inplace=True)
 
  df = pd.merge(df, df_macd, on="date", how="left")
@@ -35,6 +48,7 @@ def get_coin_data(
  df.fillna(0)
  for col in df.columns[1:]:
  df[col] = np.round(df[col], 2)
+ df.sort_values("date", ascending=False, inplace=True)
  while save_data:
  df.to_csv("data.csv", index=False)
  break
@@ -44,3 +58,4 @@ def get_coin_data(
 def get_coin_price(coin="bitcoin"):
  price = cg.get_price(ids=coin, vs_currencies="usd")[coin]["usd"]
  return price
+