T[3]

wassignment.py

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+
+#yashodhan shinde #k.k.wagh college #8857865415 #yashodhanshinde67@gmail.com
+import numpy as np  #importing the libraries
+import matplotlib.pyplot as plt  #Doing the Task-3
+import json
+from  datetime import datetime as d
+
+with open('data.json') as w:  #
+    data=json.load(w)
+with open('latest-rates.json') as y:
+    latest_rates=json.load(y)
+
+n= data['rates']  #printing the dataset (data.json)
+print (n)
+m=latest_rates['rates']   #printing the dataset(latest-rates)
+print(m)
+
+fd=d(2019,1,1)
+ld=d(2019,1,31)
+values=sorted(data['rates'])
+INR=list()
+GBP=list()
+date=list()
+
+for x in values:
+  day=d.strptime(x,'%Y-%m-%d')
+  if day<=ld and day>=fd:
+    INR.append(data['rates'][x]['INR'])
+    GBP.append(data['rates'][x]['GBP'])
+    date.append([day.day])
+
+
+plt.plot(date,INR,linewidth=2.0,linestyle='solid',label='INR') #setting up the parameters
+plt.plot(date,INR,linewidth=2.0,linestyle='solid',label='GBP')
+
+plt.xlabel('January 2019') #plotting on x-axix
+plt.xticks(np.arange(32)) 
+plt.ylabel('values with respect to EUR')#plotting on y-axis
+plt.title("Plotting the graph of INR and GBP exchange rate against EUR from 1 Jan 2019 to 31 Jan 2019 ")
+I=plt.legend(loc="center right") #title for the graph
+I.get_texts()[0].set_text("INR="+str(latest_rates['rates']['INR']))
+I.get_texts()[1].set_text("GDP="+str(latest_rates['rates']['GDP']))
+plt.show()