Read And Plot Data Expectancy in The Python Assignment Solution

July 01, 2024
Dr. Lauren
🇦🇺 Australia
Python
Dr. Lauren Chen, a seasoned expert with 7 years of experience, is a doctorate of Yale University. With an impressive track record of completing over 500 Python assignments, she possesses a profound understanding of complex programming concepts. Dr. Chen's dedication to excellence and her ability to simplify intricate topics make her an invaluable resource for students seeking guidance in Python programming.
Key Topics
• Instructions
• Requirements and Specifications
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Instructions

Objective
Write a python assignment program to read and plot expectancy.

Requirements and Specifications

Source Code

`# Your Name# PA_14import numpy as npimport matplotlib.pyplot as pltimport redef build_plot(map):    """    Method for building plot from given data dictionary    :param map: data dictionary    :return: None    """    # getting years values as x-axis    years = map['Year']    axes = plt.gca()    # setting plot view parameters    axes.set_title('Health Life Expectancy from 2007 to 2017')    axes.set_xlim(2007, 2017)    axes.set_ylim(70, 75)    axes.set_xlabel('Year')    axes.set_ylabel('Age')    axes.set_title('Health Life Expectancy from 2007 to 2017')    # creating graphs for each of country    plt.plot(np.array(years), np.array(map['Canada']), color="red", linewidth=2, linestyle="-", label='Canada')    plt.plot(np.array(years), np.array(map['Italy']), color="green", linewidth=2, linestyle="-", label='Italy')    plt.plot(np.array(years), np.array(map['New Zealand']), color="blue", linewidth=2, linestyle="-", label='New Zealand')    plt.plot(np.array(years), np.array(map['Spain']), color="black", linewidth=2, linestyle="-", label='Spain')    # showing legend    axes.legend()    # saving picture as png    plt.savefig('life_exp.png')    # showing result plot    plt.show()def read_data(filename):    """    Method for reading data from given filename    :param filename: file to read data from    :return: dictionary, containing read data    """    # result dictionary: maps column name to value list    result = {}    # mapping column index to column name    columns = {}    # reading csv file    with open(filename, 'r') as csvfile:        # reading lines        lines = csvfile.read().splitlines()        # removing 'wrong' byte at the beginning of file        lines[0] = re.sub(r"[^ a-zA-Z,]", "", lines[0])        # getting headers        header = lines[0].split(',')        # processing header values        for i in range(len(header)):            columns[i] = header[i]            result[header[i]] = []        # parsing line by line and enriching collected data        for line in lines[1:]:            parts = line.split(',')            for i in range(len(parts)):                result[columns[i]].append(float(parts[i]))    return resultif __name__ == '__main__':    # filename to read data from    filename = 'HealthyLifeExpectancy.csv'    # reading data and building plot    build_plot(read_data(filename))`

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