Answer:
A Program was written to carry out some set activities. below is the code program in C++ in the explanation section
Explanation:
Solution
CODE
#include <iostream>
using namespace std;
int main() {
string name; // variables
int number;
cin >> name >> number; // taking user input
while(number != 0)
{
// printing output
cout << "Eating " << number << " " << name << " a day keeps the doctor away." << endl;
// taking user input again
cin >> name >> number;
}
}
Note: Kindly find an attached copy of the compiled program output to this question.
Answer:
public class GetInfo{
Beverage[] beverages=new Beverage[100];
int i=0;
GetInfo(Beverage b){
beverages[i]=b;
i++;
}
public void Display(){
for(int i=0;i<beverages.length;i++)
cout<<beverage[i].tostring();
}
Explanation:
we are taking Beverages array to store all values and in constructor we are adding that to the list and Display() function prints the vale
Answer:
- from matplotlib import pyplot as plt
-
- with open("text.txt") as file:
- data = file.readlines()
- category = []
- amount = []
- for row in data:
- values = row.split(" ")
- category.append(values[0])
- amount.append(float(values[1]))
-
- figure = plt.figure()
- ax = figure.add_axes([0,0,1,1])
- ax.axis('equal')
- ax.pie(amount, labels = category, autopct='%1.2f%%')
- plt.show()
Explanation:
Firstly, we need to import matplotlib library (Line 1).
Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:
Rent 450
Gas 150
Food 500
Clothing 120
Car 600
Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).
Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.