Upload app.py

app.py

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+# from nsepython import *
+# import seaborn as sns
+# import pandas as pd
+# import streamlit as st
+# from datetime import datetime
+# from time import gmtime, strftime
+# from IPython.display import clear_output 
+# import matplotlib.pyplot as plt
+# from pytz import timezone 
+
+import streamlit as st
+import pandas as pd
+st.title('A Simple Streamlit Web App')
+name = st.text_input('Enter your name', '')
+st.write(f"Hello {name}!")
+x = st.slider('Select an integer x', 0, 10, 1)
+y = st.slider('Select an integer y', 0, 10, 1)
+df = pd.DataFrame({'x': [x], 'y': [y] , 'x + y': [x + y]}, index = ['addition row'])
+st.write(df)
+
+
+
+
+
+
+# def get_data():
+#     a=(nse_fno("BANKNIFTY"))
+#     last_prices=round(nse_quote_ltp("BANKNIFTY"))
+#     exp=list(set(a['expiryDates']))
+#     exp.sort(key = lambda date: datetime.strptime(date, '%d-%b-%Y')) 
+#     if last_prices%100>50:
+#         x=(last_prices-last_prices%100+100)
+#         strike=[x-200,x-100,x,x+100,x+200]
+#     elif last_prices%100<50:
+#         x=(last_prices-last_prices%100)
+#         strike=[x-200,x-100,x,x+100,x+200]
+#     d={'call change op':[],
+#         'call vwap':[],
+#         '% change op':[],
+#         'strike':[],
+#         'put change op':[],
+#         'put vwap':[],
+#         '% change op put':[]
+#         }
+#     for i in a['stocks']:
+#         for sp in strike: 
+#             if i['metadata']['expiryDate']==exp[0] and i['metadata']['optionType']=='Call' and i['metadata']['strikePrice']==sp:
+#                 d['strike'].append(sp)
+#                 d['call change op'].append(i['marketDeptOrderBook']['tradeInfo']['changeinOpenInterest'])
+#                 d['% change op'].append(i['marketDeptOrderBook']['tradeInfo']['pchangeinOpenInterest'])
+#                 d['call vwap'].append(i['marketDeptOrderBook']['tradeInfo']['vmap'])
+
+#             elif i['metadata']['expiryDate']==exp[0] and i['metadata']['optionType']=='Put' and i['metadata']['strikePrice']==sp:
+#                 d['put change op'].append(i['marketDeptOrderBook']['tradeInfo']['changeinOpenInterest'])
+#                 d['% change op put'].append(i['marketDeptOrderBook']['tradeInfo']['pchangeinOpenInterest'])
+#                 d['put vwap'].append(i['marketDeptOrderBook']['tradeInfo']['vmap'])
+
+#     out=pd.json_normalize(d)
+#     out=out.explode(list(out.columns)).reset_index(drop = True)
+#     out.fillna(0,inplace=True)
+#     x=out.astype(float).round(2)
+#     return x
+# def get_info(dataset):
+#     df= pd.DataFrame(columns=['value', 'pcr', 'cal_per','put_per'])
+#     value= dataset['put change op'].sum() - dataset['call change op'].sum()
+#     pcr= dataset['put change op'].sum()/dataset['call change op'].sum()
+#     cal_per= dataset['% change op'].mean()
+#     put_per= dataset['% change op put'].mean()
+#     new_row={'time':datetime.now(timezone("Asia/Kolkata")).strftime('%I.%M %p'),'value':value, 'pcr':round(pcr,2), 'cal_per':round(cal_per,2), 'put_per':round(put_per,2)}
+#     df = df.append(new_row,ignore_index=True, verify_integrity=False, sort=None)
+#     return df  
+# def ploting():
+#         try:
+#             global final
+#         except:
+#              df = pd.DataFrame(columns=['value', 'pcr', 'cal_per','put_per'])
+#         dataset= get_data()
+#         main= get_info(dataset)
+#         final =final.append(main,ignore_index=True, verify_integrity=False, sort=None)
+#         return dataset,final
+
+# final = pd.DataFrame(columns=['value', 'pcr', 'cal_per','put_per','time'])
+    
+
+# if __name__=='__main__':
+    
+#     st.title('WELCOME BULLS CARTEL')
+#     today_date =strftime("%d %b %Y", gmtime()),datetime.now(timezone("Asia/Kolkata")).strftime('%I.%M %p')
+#     st.markdown(f"as at {today_date}")
+#     option= st.selectbox(
+#     'How would you like to be contacted?',
+#     ('5', '10', '15')) 
+#     st.write('You selected:', option)
+#     st.header('Important Information')
+#     st.markdown(""" CALL % INCREASE MEANS MARKET GOES DOWN  
+#              PUT % INCREASE MEANS MARKET GOES UP
+#              """)    
+#     while True:
+#         dataset,final=ploting()
+#         p1=st.empty()
+#         p2=st.empty()
+#         p3=st.empty()
+#         p1.dataframe(dataset.style.highlight_max(['% change op put','% change op'],axis=0)) #Column hightlight 
+#         p2.dataframe(final.style.highlight_max(['cal_per','put_per'],axis=1)) # row highlight
+#         fig, ax = plt.subplots(figsize=(6, 2)) 
+#         ax.plot(final['time'],final['pcr'])
+#         ax.axhline(y=0, color='black', linestyle='solid') # 0 line graph
+#         fig.autofmt_xdate(rotation=70)
+#         p3.pyplot(fig)
+#         time.sleep(3*60) # how to the start again code check upper condition min * sec
+#         p1.empty() # then clean all data frame 
+#         p2.empty()
+#         p3.empty()
+