change vnquant to vnstock

app.py

@@ -1,6 +1,6 @@
 import pandas as pd
 import streamlit as st
-import vnquant.data as dt
+from vnstock import *
 import seaborn as sns
 import matplotlib.pyplot as plt
 import plotly.express as px
@@ -17,9 +17,9 @@ start_date = str((datetime.now(pytz.timezone('Asia/Ho_Chi_Minh')) - timedelta(da
 end_date = str((datetime.now(pytz.timezone('Asia/Ho_Chi_Minh')) - timedelta(days=0)).strftime("%Y-%m-%d"))
 
 def prophet_ts(symbol, periods = 10):
-    loader = dt.DataLoader(symbol, start_date, end_date)
-    data = loader.download()
-    data.columns = [col[0] for col in data.columns]
+    data =  stock_historical_data(symbol=symbol, 
+                            start_date=start_date, 
+                            end_date=end_date, resolution='1D', type='stock')
     m = Prophet()
     pdf = pd.DataFrame()
     pdf['ds'] = data.index 
@@ -41,9 +41,9 @@ class TS:
     def __init__(self, symbol):
         self.symbol = symbol
     def get_data(self):
-        loader = dt.DataLoader(self.symbol, start_date, end_date)
-        data = loader.download()
-        data.columns = [col[0] for col in data.columns]
+        data =  stock_historical_data(symbol=self.symbol, 
+                            start_date=start_date, 
+                            end_date=end_date, resolution='1D', type='stock')
         pdf = pd.DataFrame()
         pdf['ds'] = data.index 
         pdf['y'] = data.close.values

requirements.txt

@@ -3,7 +3,7 @@ seaborn
 plotly
 statsmodels
 prophet
-git+https://github.com/phamdinhkhanh/vnquant.git@master
+vnstock
 httpx
 pytz