Day #38 - Python Matrix Operations Learnings

	#Python Exercises
	#Exercise #1
	#Save it to File test1.txt
	#Input
	#1 0 1 0 1
	#0 0 0 1 1
	#1 1 1 1 0
	#1 0 0 0 1
	#0 0 0 0 1
	#Output
	#1 1
	#1 3
	#1 5
	#2 4
	#2 5
	#3 1
	#3 2
	#3 3
	#3 4
	#4 1
	#4 4
	#5 5
	import pandas as pd
	import numpy as np
	file = open('test1.txt','r')
	filewrite = open('test1_output.txt','w')
	a = 0
	for line in file:
	a = a+1
	values = line.split('\t')
	b = 1
	for value in values:
	if(value=='1'):
	filewrite.write(str(a) + '\t'+ str(b) + '\n')
	b = b+1
	filewrite.close()
	#Exercise 2
	#Parse test1.txt and do matrix manipulation
	import pandas as pd
	import numpy as np
	data = pd.read_csv('test1.txt',header=None, sep = "\t")
	data_matrix = np.matrix(data)
	print(data_matrix.shape)
	print(data_matrix.shape[0])
	print(data_matrix.shape[1])
	#Exercise 3
	#Compute row and column sum
	import pandas as pd
	import numpy as np
	data = pd.read_csv('test1.txt',header=None, sep = "\t")
	data_matrix = np.matrix(data)
	print(data_matrix.shape)
	print(data_matrix.shape[0])
	print(data_matrix.shape[1])
	#Parse Matrix sum of each column
	for i in range(0,data_matrix.shape[0]):
	sum = 0
	for j in range(0,data_matrix.shape[1]):
	sum = sum+data_matrix[i,j]
	print('row -',i+1,'-sum ',sum)
	#Parse Matrix sum of each column
	for i in range(0,data_matrix.shape[1]):
	sum = 0
	for j in range(0,data_matrix.shape[0]):
	sum = sum+data_matrix[j,i]
	print('column-',i+1,'-sum ',sum)

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Happy Learning!!!