Stackplot

nse.py

@@ -95,7 +95,7 @@ def runner(ticker):
 
 def threader(q):
     while True:
-        ticker =  q.get()
+        ticker =  q.get(timeout= 12)
         print("Ticker {}".format(ticker))
         runner(ticker)
         q.task_done()

report

@@ -0,0 +1,122 @@
+Run at 2020-06-09 12:15:20.664564 
+Time taken: 160 sec 
+Could not fetch 35 scripts 
+
+Run at 2020-06-09 12:18:31.073331 
+Time taken: 157 sec 
+Could not fetch 25 scripts 
+
+Run at 2020-06-09 12:21:38.939781 
+Time taken: 157 sec 
+Could not fetch 30 scripts 
+
+Run at 2020-06-09 12:24:46.897072 
+Time taken: 156 sec 
+Could not fetch 29 scripts 
+
+Run at 2020-06-09 12:27:53.026439 
+Time taken: 182 sec 
+Could not fetch 49 scripts 
+
+Run at 2020-06-09 12:31:25.339519 
+Time taken: 152 sec 
+Could not fetch 23 scripts 
+
+Run at 2020-06-09 12:34:27.501356 
+Time taken: 168 sec 
+Could not fetch 35 scripts 
+
+Run at 2020-06-09 12:37:46.262105 
+Time taken: 167 sec 
+Could not fetch 33 scripts 
+
+Run at 2020-06-09 12:41:03.833007 
+Run at 2020-06-09 13:40:24.687193 
+Time taken: 197 sec 
+Could not fetch 126 scripts 
+
+Run at 2020-06-09 13:44:12.358284 
+Time taken: 199 sec 
+Could not fetch 116 scripts 
+
+Run at 2020-06-09 13:48:01.424822 
+Time taken: 179 sec 
+Could not fetch 105 scripts 
+
+Run at 2020-06-09 13:51:31.075624 
+Time taken: 208 sec 
+Could not fetch 91 scripts 
+
+Run at 2020-06-09 13:55:29.608030 
+Time taken: 209 sec 
+Could not fetch 114 scripts 
+
+Run at 2020-06-09 13:59:29.068990 
+Time taken: 232 sec 
+Could not fetch 212 scripts 
+
+Run at 2020-06-09 14:03:51.459592 
+Time taken: 195 sec 
+Could not fetch 121 scripts 
+
+Run at 2020-06-09 14:07:36.793795 
+Time taken: 207 sec 
+Could not fetch 120 scripts 
+
+Run at 2020-06-09 14:11:34.392382 
+Time taken: 180 sec 
+Could not fetch 650 scripts 
+
+Run at 2020-06-09 14:15:05.032219 
+Time taken: 207 sec 
+Could not fetch 128 scripts 
+
+Run at 2020-06-09 14:19:02.676415 
+Time taken: 199 sec 
+Could not fetch 127 scripts 
+
+Run at 2020-06-09 14:22:51.983409 
+Time taken: 237 sec 
+Could not fetch 162 scripts 
+
+Run at 2020-06-09 14:27:19.551565 
+Time taken: 269 sec 
+Could not fetch 137 scripts 
+
+Run at 2020-06-09 14:32:18.686275 
+Time taken: 192 sec 
+Could not fetch 23 scripts 
+
+Run at 2020-06-09 14:36:00.768084 
+Time taken: 186 sec 
+Could not fetch 14 scripts 
+
+Run at 2020-06-09 14:39:37.386701 
+Time taken: 170 sec 
+Could not fetch 20 scripts 
+
+Run at 2020-06-09 15:10:20.977627 
+Time taken: 177 sec 
+Could not fetch 27 scripts 
+
+Run at 2020-06-09 15:13:48.945508 
+Time taken: 197 sec 
+Could not fetch 26 scripts 
+
+Run at 2020-06-09 15:17:36.251554 
+Time taken: 202 sec 
+Could not fetch 40 scripts 
+
+Run at 2020-06-09 15:21:28.633489 
+Time taken: 196 sec 
+Could not fetch 38 scripts 
+
+Run at 2020-06-09 15:25:15.508481 
+Time taken: 203 sec 
+Could not fetch 24 scripts 
+
+Run at 2020-06-09 15:29:08.997536 
+Time taken: 206 sec 
+Could not fetch 36 scripts 
+
+Run at 2020-06-09 15:33:05.081513 

test.py

@@ -0,0 +1,12 @@
+from utils import combiner
+
+script_names = "data/stock"
+volume_path = "historical_data/buyer_seller_volume"
+intraday_path = "historical_data/intraday"
+with open(script_names, "r") as f:
+        data = f.read()
+t_list = data.split("\n")
+
+
+combiner(volume_path, t_list)
+combiner(intraday_path,t_list)

utils.py

@@ -30,3 +30,4 @@ def combiner(filepath,file_names):
 
 			with open(filepath+"/"+ticker, 'w') as fw:
 				fw.write(str(final))
+

visualization.py

@@ -0,0 +1,57 @@
+import matplotlib.pyplot as plt 
+from matplotlib.ticker import (AutoMinorLocator, MultipleLocator)
+import numpy as np
+import matplotlib.ticker as ticker
+
+import ast
+def fname(a):
+    path= "historical_data/intraday/" + a
+    path2="historical_data/buyer_seller_volume/" + a
+    with open (path2,"r") as f2:
+        data2= f2.read()
+        g2= ast.literal_eval(data2)
+        f2.close()
+    with open(path,"r") as f:
+        data =f.read()
+        g= ast.literal_eval(data)
+        f.close()
+
+    date=[]
+    lpt=[]
+    vol=[]
+    for key in g:
+        date.append(key)
+        k=key
+        for key in g[k]:
+            if key== "ltp":
+                lpt.append(g[k][key])
+        for key in g2[k]:
+            if key== 'deliveryToTradedQuantity':
+                vol.append(g2[k][key])
+
+    fig,axs= plt.subplots(2 ,figsize=(50,10))
+    axs[0].plot(date,vol)
+    axs[1].plot(date,lpt)
+
+    for i in range(len(axs)):
+    # Change major ticks to show every 20.
+        axs[i].xaxis.set_major_locator(MultipleLocator(5))
+        if (i != 0):
+            axs[i].yaxis.set_major_locator(MultipleLocator(5))
+        # Change minor ticks to show every 5. (20/4 = 5)
+        axs[i].xaxis.set_minor_locator(AutoMinorLocator(4))
+        axs[i].yaxis.set_minor_locator(AutoMinorLocator(4))
+        # if (i != 0):
+        #     axs[i].autoscale()
+    axs[0].yaxis.set_ticks(np.arange(0, 100, 10))
+    fig.autofmt_xdate(rotation=90)
+    plt.grid(b=True)
+    plt.gca().invert_yaxis()
+    plt.savefig('rvnl.png')
+    # plt.show()
+    #print("date = {}".format(date))
+    #print("ltp values = {}".format(lpt))
+    #print("volume values = {}".format(vol))
+
+a= str(input("enter the file name to visualize data : "))
+fname(a)