I tried using matplotlib

I had the opportunity to use matplotlib at work, so I will summarize the usage I learned.

environment

windows10
python 3.7.4
matplotlib 3.2.1

Basic usage

Module import

import matplotlib.pyplot as plt

Graph display

plt.plot([1, 2, 3, 4, 5])
plt.show()

The following graph is displayed. If there is only one piece of information to pass to the argument, it seems that the coordinates of the argument will be on the y-axis.

When drawing multiple lines

line1 = [1, 2, 3, 4, 5]
line2 = [5, 4, 3, 2, 1]
plt.plot(line1, color='red')
plt.plot(line2, color='green')
plt.show()

You can draw one line with plt.plot (). Specify color to change the line color

animation

You can also animate to draw the line.

Import of modules required for animation

from matplotlib.animation import ArtistAnimation
#Or
from matplotlib.animation import FuncAnimation

There are two classes for implementing animation.

ArtistAnimation
A method of calculating the data to be drawn before displaying and animating it sequentially
FuncAnimation
Method to display the value calculated at the timing of drawing

ArtistAnimation

Animation of a graph in which the value increases by 1

fig = plt.figure()
artist = []
line = []

for value in range(1, 10):
    line.append(value)
    im = plt.plot(line, color='red', marker='o')
    artist.append(im)

anim = ArtistAnimation(fig, artist, interval=300)    
plt.show()

FuncAnimation

Implementation content is the same as Artist Animation Note that FuncAnimation defaults to repeat when creating an object, and if the initialization function is not implemented, it will be an unintended animation after the second week.

fig = plt.figure()
line = []

def init():
    global line
    print("Implement initialization process")
    plt.gca().cla()
    line = []

def draw(i):
    line.append(i)
    im = plt.plot(line, color='red', marker='o')

anim = FuncAnimation(fig, func=draw, frames=10, init_func=init, interval=100)
plt.show()