ম্যাটপ্লটলিব

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

figure, axes = plt.subplots()

line, = axes.plot([], [])

axes.set_xlim(0, 10)
axes.set_ylim(0, 10)

def update(frame):
    line.set_data(
        range(frame + 1),
        range(frame + 1)
    )

    return line,

animation = FuncAnimation(
    figure,
    update,
    frames=10
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

figure, axes = plt.subplots()

line, = axes.plot([], [])

def update(frame):
    line.set_data(
        [1, 2, 3, frame],
        [2, 4, 6, frame]
    )

    return line,

animation = FuncAnimation(
    figure,
    update,
    frames=10,
    interval=200
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.animation import ArtistAnimation

figure, axes = plt.subplots()

artists = []

for number in range(1, 6):
    line, = axes.plot(
        [1, 2, 3],
        [number, number + 1, number + 2]
    )

    artists.append([line])

animation = ArtistAnimation(
    figure,
    artists,
    interval=500
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.widgets import Slider

figure, axes = plt.subplots()

x = [1, 2, 3, 4]
y = [2, 4, 6, 8]

line, = axes.plot(x, y)

slider_axes = figure.add_axes(
    [0.2, 0.05, 0.6, 0.03]
)

slider = Slider(
    slider_axes,
    "Scale",
    1,
    5,
    valinit=1
)

def update(value):
    line.set_ydata(
        [number * value for number in y]
    )

    figure.canvas.draw_idle()

slider.on_changed(update)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.widgets import Slider

figure, axes = plt.subplots()

x = [1, 2, 3, 4]
y = [2, 4, 6, 8]

line, = axes.plot(x, y)

slider_axes = figure.add_axes(
    [0.2, 0.05, 0.6, 0.03]
)

slider = Slider(
    slider_axes,
    "Value",
    1,
    10,
    valinit=1
)

def update(value):
    line.set_ydata(
        [number * value for number in y]
    )

    figure.canvas.draw_idle()

slider.on_changed(update)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.widgets import Button

figure, axes = plt.subplots()

line, = axes.plot(
    [1, 2, 3],
    [2, 4, 6]
)

button_axes = figure.add_axes(
    [0.8, 0.05, 0.1, 0.05]
)

button = Button(
    button_axes,
    "Change"
)

def change(event):
    line.set_ydata(
        [6, 4, 2]
    )

    figure.canvas.draw_idle()

button.on_clicked(change)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.widgets import Cursor

figure, axes = plt.subplots()

axes.plot(
    [1, 2, 3, 4],
    [2, 5, 3, 8]
)

cursor = Cursor(
    axes,
    useblit=True,
    color="red"
)

plt.show()

import matplotlib.pyplot as plt

figure, axes = plt.subplots()

def click(event):
    if event.inaxes:
        print(
            "x:",
            event.xdata,
            "y:",
            event.ydata
        )

connection = figure.canvas.mpl_connect(
    "button_press_event",
    click
)

axes.plot(
    [1, 2, 3, 4],
    [2, 5, 3, 8]
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle

figure, axes = plt.subplots()

rectangle = Rectangle(
    (1, 2),
    2,
    3
)

axes.add_patch(rectangle)

axes.set_xlim(0, 5)
axes.set_ylim(0, 6)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

figure, axes = plt.subplots()

segments = [
    [(1, 1), (2, 3)],
    [(2, 3), (3, 2)],
    [(3, 2), (4, 5)]
]

collection = LineCollection(
    segments
)

axes.add_collection(collection)

axes.set_xlim(0, 5)
axes.set_ylim(0, 6)

plt.show()

import matplotlib.pyplot as plt
import matplotlib.transforms as transforms

figure, axes = plt.subplots()

transform = transforms.Affine2D().rotate_deg(20)

axes.plot(
    [1, 2, 3],
    [2, 4, 3],
    transform=transform + axes.transData
)

plt.show()

import matplotlib.pyplot as plt

figure = plt.figure()

axes = figure.add_subplot(
    111,
    projection="3d"
)

x = [1, 2, 3, 4]
y = [2, 4, 3, 5]
z = [3, 5, 4, 7]

axes.plot(
    x,
    y,
    z
)

plt.show()

import matplotlib.pyplot as plt

figure = plt.figure()

axes = figure.add_subplot(
    111,
    projection="3d"
)

axes.scatter(
    [1, 2, 3],
    [2, 4, 3],
    [5, 6, 8]
)

plt.show()