Load the sample data.

  Create two array.

  Do arithmetic operations of an array using Numpy.

   Print the results.

#import libraries
import pandas as pd
import numpy as np

#load the sample data from csv file
data = pd.read_csv(‘/home/soft50/soft50/Sathish/practice/iris.csv’)

#convert as a data frame
df = pd.DataFrame(data)

a = np.array(df.iloc[:,2])
b = np.array(df.iloc[:,3])

print(“First array\n\n”,a,”\n”)
print(“Second array\n\n”,b,”\n”)

#Array manipulation operation

print(“Trainspose array\n”)
c = np.transpose(b)
print(c.T,”\n”)

print(“Changing array shape\n\n”)
print(b.reshape(3,-2),”\n”)

print(“Adding and removing elements\n\n”)
print(np.append(a,b),”\n”)
print(np.insert(a,1,5),”\n”)
print(np.delete(a,[1]),”\n”)

print(“Combining arrays\n\n”)
print(np.concatenate((a,c),axis=0),”\n”)

print(“Splitting the array (Horizontally)\n\n”)
print(np.hsplit(a,3),”\n”)

print(“Splitting the array (Vertical)\n\n”)
print(np.hsplit(a,3),”\n”)