Unit-5 programs

 

Program-1:

Aim: Python program to check whether a JSON string contains complex object or not.

Program:

import json

def has_complex_object(json_str):

    try:

        data=json.loads(json_str)

        for value in data.values():

            if isinstance(value,(list,dict)):

                return True

            return False

    except json.JSONDecodeError:

        return False

json_str1='{"name":"ravi","age":30,"city":"vijayawada"}'

json_str2='{"name":"kumar","age":25,"contact":{"email":"ravi@gmail.com","phone":"8273672682"}}'

print(has_complex_object(json_str1))

print(has_complex_object(json_str2))

program-2:

Aim: Python program to demonstrate Numpy arrays creation using array() function.

Program:

import numpy as np

def create_numpy_array():

    arr=np.array([1,2,3,4,5])

    return arr

arr=create_numpy_array()

print("Numpy Array:",arr)

Program-3:

Aim: Python program to demonstrate use of ndim, shape, size, dtype in Numpy array.

Program:

import numpy as np

def numpy_array_properties():

    arr=np.array([[1,2,3],[4,5,6]])

    print("Array:")

    print(arr)

    print("Number of dimensions:",arr.ndim)

    print("Shape(rows,columns):",arr.shape)

    print("Size(total number of elements)",arr.size)

    print("Data type of elements:",arr.dtype)

numpy_array_properties()

Program-4:

Aim: Python program to demonstrate basic slicing, integer and Boolean indexing.

Program:

import numpy as np

def numpy_array_operations():

    arr=np.array([1,2,3,4,5])

    print("Slicing examples:")

    print(arr[1:4])

    print(arr[:3])

    print(arr[2:])

    print("\n Integer indexing:")

    print(arr[[0,2,4]])

    print("\nBoolean indexing:")

    print(arr[arr>2])

numpy_array_operations()

Program-5:

Aim: Python program to find min, max, sum, cumulative sum of array using Numpy.

Program:

 import numpy as np

def numpy_array_stats():

    arr=np.array([1,2,3,4,5])

    print("Array:",arr)

    print("Minimum value:",np.min(arr))

    print("Maximum value:",np.max(arr))

    print("Sum of array elements:",np.sum(arr))

    print("Cumulative sum of array elements:",np.cumsum(arr))

numpy_array_stats()  

Program-6:

Aim: Create a dictionary, convert it to a pandas DataFrame, and  explore data.

Program:

import pandas as pd

def create_dataframe_from_dict():

    data = {

        'Name': ['rahul', 'ravi', 'vamsi', 'sai', 'venu'],

        'Age': [21, 22, 23, 24, 25],

        'City': ['vijayawada', 'kondapalli', 'Mylavaram', 'IBM', 'Konduru'],

        'Salary': [800000, 700000, 800000, 400000, 800000]  # Corrected length

    }

    df = pd.DataFrame(data)

    return df

 

df = create_dataframe_from_dict()

print("Head of DataFrame:")

print(df.head())

print("\nData selection operations:")

print("Selecting column 'Name':")

print(df['Name'])

print("\nFiltering based on age > 22:")

print(df[df['Age'] > 22])