[Python] I tried to make a simple program that works on the command line using argparse.

ArgumentParser (argparse) When executing a program written in Python on the command line, you can easily use command line arguments by using ArgumentParser (argparse).

What are command line arguments?

Command line arguments are something like this:

python test.py -t 10

Try using

About the instant type

Instantaneous type is generally

e=V_{m} \sin(2 \pi f t \pm \phi)

It is represented by. This time

V_{m}[V],f[Hz],\phi[deg]

With command line variables ([] is the unit in the program) and try to draw various graphs.

Source

Load the library. You can use it by reading argparse.

import argparse

Define the initial value of each argument

    parser = argparse.ArgumentParser()
    parser.add_argument('--phase', '-p', type=float, default=0, help='Definition of a point in time')
    parser.add_argument('--voltage', '-v', type=float, default=100, help='Definition of a effective value')
    parser.add_argument('--frequency', '-f', type=float, default=60, help='Definition of a frequency')
    parser.add_argument('--sampletime', '-t', type=float, default=0.0001, help='Definition of sampletime')    
args = parser.parse_args()

Display of specified numerical value

    print('phase : {}\n'.format(args.phase))
    print('voltage : {}\n'.format(args.voltage))
    print('frequency : {}\n'.format(args.frequency))

Drawing a graph

    t = np.arange(0, 1/60, args.sampletime)
    y1 = args.voltage * np.sqrt(2) * np.sin(2 * np.pi * args.frequency * t + np.deg2rad(args.phase))
    y2 = args.voltage * np.sqrt(2) * np.sin(2 * np.pi * args.frequency * t)
    plt.plot(t, y1)
    plt.plot(t, y2)

    plt.grid(True)

    plt.show()

    #plt.savefig("img.png ")

At the command line

python test.py -p 45

given that

To get

Whole code

import numpy as np
import argparse
import matplotlib.pyplot as plt

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('--phase', '-p', type=float, default=0, help='Definition of a point in time')
    parser.add_argument('--voltage', '-v', type=float, default=100, help='Definition of a effective value')
    parser.add_argument('--frequency', '-f', type=float, default=60, help='Definition of a frequency')
    parser.add_argument('--sampletime', '-t', type=float, default=0.0001, help='Definition of sampletime')

    args = parser.parse_args()

    print('phase : {}\n'.format(args.phase))
    print('voltage : {}\n'.format(args.voltage))
    print('frequency : {}\n'.format(args.frequency))

    t = np.arange(0, 1/60, args.sampletime)
    y1 = args.voltage * np.sqrt(2) * np.sin(2 * np.pi * args.frequency * t + np.deg2rad(args.phase))
    y2 = args.voltage * np.sqrt(2) * np.sin(2 * np.pi * args.frequency * t)
    plt.plot(t, y1)
    plt.plot(t, y2)

    plt.grid(True)

    plt.show()

if __name__ == '__main__':
    main()