Is there a way to print a particular value within a matrix using Python, specifically with the help of numpy?

Question

Is there a way to print a particular value within a matrix using Python, specifically with the help of numpy?

I am facing an issue with a code snippet that is supposed to generate a zero matrix based on a given size (m x n). However, my goal is to extract a specific value from a particular location within that matrix. Despite trying numerous approaches, I have not been able to achieve the desired outcome. Below is the code in question:

import numpy as np 

class Matrix:

def __init__(self, m, n):
  self.row = m
  self.column = n

def define_matrix(self):
  return np.zeros((self.row, self.column), dtype=int)

def __str__(self):
  return self.define_matrix()

...

a = Matrix(4, 4) # matrix could be any size
a.set(80, 1, 3)
a.get(1, 3)

Upon executing the code, the output does not match my expectations.

python numpy matrix

Answer 1

Answer №1

import numpy as np 

class Matrix:
    
    def __init__(self, rows, columns):
      self.rows = rows
      self.columns = columns
      self.matrix_data = np.zeros((self.rows, self.columns), dtype=int)

    def define_matrix(self):
      return str(self.matrix_data)

    def __str__(self):
      return str(self.define_matrix())

    def get_value(self, row_num, col_num):
      try:
        if not row_num in range(self.rows+1):
          print('The desired value does not belong to the matrix.')
        elif not col_num in range(self.columns+1):
          print('The desired value does not belong to the matrix.')
        else:
          print(
            'The value located at row {} '
            'and column {} is: {}'
            .format(row_num, col_num, self.matrix_data[row_num - 1][col_num - 1]))
      except:
        print('Enter valid data')

    def set_value(self, new_value, row_num, col_num):
      if not row_num in range(self.rows+1):
        print('The desired value does not belong to the matrix.')
      elif not col_num in range(self.columns+1):
        print('The desired value does not belong to the matrix.')
      else:
        self.matrix_data[row_num-1][col_num-1] = new_value
        return self.matrix_data

m = Matrix(4, 4) # matrix can be of any size
m.set_value(80, 1, 3)
m.get_value(1, 3)

I hope this revised code aligns with your expectations!

Answer 2

import numpy as np 

class Matrix:
    
    def __init__(self, rows, columns):
      self.rows = rows
      self.columns = columns
      self.matrix_data = np.zeros((self.rows, self.columns), dtype=int)

    def define_matrix(self):
      return str(self.matrix_data)

    def __str__(self):
      return str(self.define_matrix())

    def get_value(self, row_num, col_num):
      try:
        if not row_num in range(self.rows+1):
          print('The desired value does not belong to the matrix.')
        elif not col_num in range(self.columns+1):
          print('The desired value does not belong to the matrix.')
        else:
          print(
            'The value located at row {} '
            'and column {} is: {}'
            .format(row_num, col_num, self.matrix_data[row_num - 1][col_num - 1]))
      except:
        print('Enter valid data')

    def set_value(self, new_value, row_num, col_num):
      if not row_num in range(self.rows+1):
        print('The desired value does not belong to the matrix.')
      elif not col_num in range(self.columns+1):
        print('The desired value does not belong to the matrix.')
      else:
        self.matrix_data[row_num-1][col_num-1] = new_value
        return self.matrix_data

m = Matrix(4, 4) # matrix can be of any size
m.set_value(80, 1, 3)
m.get_value(1, 3)

I hope this revised code aligns with your expectations!

Answer 3

Answer №2

The issue at hand arises when you invoke

self.define_matrix()[a - 1][b - 1])

inside the get function.

This means that no matter what value is stored in your matrix using the set function, it will always display the initial '0' generated when creating the matrix with

np.zeros((self.row, self.column), dtype=int)

.

Answer 4

The issue at hand arises when you invoke

self.define_matrix()[a - 1][b - 1])

inside the get function.

This means that no matter what value is stored in your matrix using the set function, it will always display the initial '0' generated when creating the matrix with

np.zeros((self.row, self.column), dtype=int)

.

Answer 5

Answer №3

Check out this snippet:

import numpy as np
import matplotlib.pyplot as plt

print(np.ones((5, 5)))

Feel free to adjust the dimensions of the matrix to suit your needs.

Answer 6

Check out this snippet:

import numpy as np
import matplotlib.pyplot as plt

print(np.ones((5, 5)))

Feel free to adjust the dimensions of the matrix to suit your needs.

Is there a way to print a particular value within a matrix using Python, specifically with the help of numpy?

Answer №1

Answer №2

Answer №3

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