csv-file 1.0

This repository which was created to facilitate working with csv

csv_file library

Author R.A.Vidonchikov

This library provides the ability to read a csv file, find the maximum and minimum elements in the matrix, plot the values of the matrix elements, and also transpose the matrix to another csv file.

def __init__(self, road, new_road):
    self.road = road
    self.results = []
    self.line = 0
    self.column = 0
    self.new_road = new_road

def reader_csv_file(self):
    """Reads a CSV file and print it as a list of rows."""
    with open(self.road, newline='', encoding='utf-8') as file:
        inp = csv.reader(file, delimiter=';', quotechar=',', quoting=csv.QUOTE_NONE)
        for row in inp:
            self.line += 1
            self.column = 0
            for number in row:
                self.column += 1
                number = int(float(number))
                self.results.append(number)

def finder_max(self):
    maximum = np.amax(self.results)
    return maximum

def finder_min(self):
    minimum = np.amin(self.results)
    return minimum

def graph(self):
    x_list = list(range(0, len(self.results)))
    y1_list = list(self.results)
    fig, ax = plt.subplots(figsize=(10, 5))
    ax.set_title('Демонстрация заполения матрицы')
    ax.set_ylabel('Числа матрицы')
    plt.plot(x_list, y1_list)
    plt.ylabel("", fontsize=14, fontweight="bold")
    plt.show()

def transpose(self):
    matrix = np.asarray(self.results).reshape(-1, self.column)
    matrix = matrix.transpose()
    with open(self.new_road, "w", newline='') as f:
        for row in matrix:
            print(' '.join(map(repr, row)), file=f)