How to fetch data from remote URL using the JSON format and convert it into NumPy array?
Python provides JSON Module to read JSON data and urlib.request module to fetch data from remote URL?
This is the example to fetch records from JSON File.
Solution:-
import json
import urllib.request
import numpy as np
data = urllib.request.urlopen("https://shivaconceptsolution.com/webservices/showdriver.php");
s= json.loads(data.read())
#print(s)
arr1 = []
arr2 = []
for k in s['result']:
arr1.append(k['id'])
arr2.append(k['uname'])
# print(k['id'],k['uname'])
print(arr1, arr2)
a = np.array(arr1)
b = np.array(arr2)
print(a,b)
Assignment:-
1) USE the SAME API to find max id, min id, avg id, repeated mobile number, null record rows, max null record rows.
2) Use Covid LIVE API and Provide Current Status, Country-wise, State-wise?
# To Find Largest Element in the List
ReplyDeletedata = urllib.request.urlopen("https://shivaconceptsolution.com/webservices/showdriver.php");
s= json.loads(data.read())
arr1 = np.array([],dtype=int)
def Large(list1):
m = list1[0]
for x in list1:
if x > m :
m = x
return m
for d in s["result"]:
arr3=np.append(arr1,d["id"])
print(arr3)
print("Largest element is:", Large(arr3))
# Data Science ( 6 To 7 Pm BATCH)
ReplyDelete# Finding Max Id, Avg Id, Repeated Mobile Number.
import json
import urllib.request
import numpy as np
data = urllib.request.urlopen("https://shivaconceptsolution.com/webservices/showdriver.php");
s= json.loads(data.read())
idd= 0
b = 0
av = 0
lst = []
for d in s["result"]:
b+=1
arr3=np.append(arr1,d["id"])
print("ID. :-",arr3)
arr4=np.append(arr2,d["uname"])
print("User Name:-",arr4)
arr5=np.append(arr2,d['emailid'])
print("Email.ID:-",arr5)
arr6=np.append(arr2,d['mobile'])
print("Mobile No. :-",arr6,"\n")
av = av+int(d["id"])
lst.append(d['mobile'])
if int(d["id"])>idd:
idd = int(d["id"])
print("Maximum ID :-",idd,"\n")
print("Average ID :-",av/b)
for d in s["result"]:
mo = lst.count(d['mobile'])
if mo>1:
print(d,"Repeated :-",mo,"Times")
:- code for find repeted numbers in list
ReplyDelete#Jayant Chawliya
lst=['12345','4567','12345','4567']
s= set(lst)
for d in s:
c=lst.count(d)
if c>1:
print(d,"Repeted :-",c,"Times")
# Data Science ( 6 To 7 Pm Batch)
ReplyDelete# Code to find max id, avg id, repeated mobile number from URL.
import json
import urllib.request
import numpy as np
data = urllib.request.urlopen("https://shivaconceptsolution.com/webservices/showdriver.php");
s= json.loads(data.read())
idd= 0
b = 0
av = 0
lst = []
arr1 = np.array([],dtype=int)
arr2 = np.array([],dtype=str)
for d in s["result"]:
b+=1
arr3=np.append(arr1,d["id"])
print("ID. :-",arr3)
arr4=np.append(arr2,d["uname"])
print("User Name:-",arr4)
arr5=np.append(arr2,d['emailid'])
print("Email.ID:-",arr5)
arr6=np.append(arr2,d['mobile'])
print("Mobile No. :-",arr6,"\n")
av = av+int(d["id"])
lst.append(d['mobile'])# All mobile no. Append in lst[]
if int(d["id"])>idd:
idd = int(d["id"])
print("Maximum ID :-",idd,"\n")
print("Average ID :-",av/b)
# Code to Find Repeated Mobile No.
lst1 = [] # For unique Mobile No.
for i in lst:
if i not in lst1:
lst1.append(i)
for d in s["result"]:
mo = lst1.count(d['mobile'])
if mo>1:
print(d,"Repeated :-",mo,"Times")
# Excel Sheet "Record"
ReplyDelete#worksheet="A"
#worksheet="B"
#Combine Both A and B into python using openpyxl
import openpyxl
l1 = 0
l2 = 1
wb = openpyxl.load_workbook('Record.xlsx')
sheets = wb.sheetnames
ws = wb[sheets[l1]]
print(ws)
ws1 = wb[sheets[l2]]
print(ws1)
print("\n\nSheet 1 Data \n")
ar =[]#Empty List
col = ws.max_column
ro = ws.max_row
for i in range(1,(ro+1)):
k=0
ar1=[]#Empty List
for j in range(1,(col+1)):
c1 = ws.cell(row = i, column = j)
ar1.append(c1.value)
k+=1
ar.append(ar1)
arr = np.concatenate((ar))
print(arr)
print("\n")
print("Sheet 2 Data \n")
a =[]#Empty List
col1 = ws1.max_column
ro1 = ws1.max_row
for k in range(1,(ro1+1)):
k1=0
ar2=[]#Empty List
for p in range(1,(col1+1)):
c12 = ws1.cell(row = k, column = p)
ar2.append(c12.value)
k1+=1
a.append(ar2)
arrr = np.concatenate((a))
print(arrr)
import json
ReplyDeleteimport urllib.request
import numpy as np
data = urllib.request.urlopen("https://shivaconceptsolution.com/webservices/showdriver.php");
s= json.loads(data.read())
l=[]
l1=[]
l2=[]
l3=[]
l4=[]
for i in s["result"]:
for j in i:
l4.append(i[j])
l.append(int(i.get("id")))
l1.append(i.get("uname"))
l2.append(i.get("emailid"))
l3.append(i.get("mobile"))
print("max id:",max(l))
print("min id:",min(l))
print("average id:",sum(l)/len(l))
for i in l3:
b=l3.count(l3)
l8=[]
print("repeated mobile no.",b)
co=0
m=0
for i in range(0,len(l4),9):
c=l4[0+i:9+i]
d=c.count("")
l8.append(d)
co=co+1
print(co,"row null value:",d)
for i in range(0,len(l8)):
if l8[i]>m:
lk+=1
m=l8[i]
lk=i+1
print("repeated mobile mobile no:",b)
print("max null record rows",lk)
import json
ReplyDeletej = '[{"a":"1", "b":"2", "c":"3", "d":"4"}]'
a = json.loads(j)
for i in range(len(a)):
for j in a[i]:
print(j,":",a[i][j])
import json
ReplyDeletef = open('P:\\excel\\pk.json')
a = json.load(f)
for i in a['result']:
for j in i:
print(j,":",i[j])
import csv
ReplyDeletef= open("P:\\word\\covid_19_india.csv")
c =csv.reader(f)
c1 = 0
for row in c:
print(row)
c1+=1
print("line count",c1)
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