没有像素决定的标记位置？

Question

如果我设置小 matplotlib 标记的位置，它们必须“决定”选择哪个像素。我认为在 Matlab 中情况并非如此，标记可以位于像素之间，两个像素共享亮度。

在附加的示例中，我屏幕上的标记没有执行平滑的圆，而是在像素之间跳跃。在 Matlab 中，这个圆圈看起来很平滑。我可以使用 matplotlib 实现同样的效果吗？

import tkinter as tk
import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import time

class Plotwindow():
    def __init__(self, root, size):
        self.root = root
        self.fig = Figure(size, constrained_layout=True)
        self.ax = self.fig.add_subplot(111)
        self.canvas = FigureCanvasTkAgg(self.fig, master=root.plot_frame)
        self.canvas.get_tk_widget().pack()

    def clear(self):
        self.ax.cla()

    def plot(self, x, y):
        self.ax.scatter(x, y, marker='o', s=2, color='black', snap=False)
        self.ax.set_xlim(20*np.array([-1, 1]))
        self.ax.set_ylim(20*np.array([-1, 1]))
        self.canvas.draw()
        self.canvas.flush_events()
        
class NewGUI():
    def __init__(self):
        self.root = tk.Tk()
        self.root.resizable(False, False)
        self.root.geometry("405x405+400+200")

        self.button = tk.Button(self.root, text="Move", command=self.move)
        self.button.pack(side='top', fill='x')
        self.button = tk.Button(self.root, text="Hold", command=self.hold)
        self.button.pack(side='top', fill='x')

        self.plot_frame = tk.Frame()
        self.plot_frame.pack(side='bottom', fill='x')
        self.plot_window = Plotwindow(self, (15,15))
        self.plot_window.plot(1,0)

        self.root.mainloop()

    def move(self):
        for i in range(20):
            self.plot_window.clear()
            time.sleep(0.01)
            phi = 2*np.pi*i/20
            x = np.cos(phi)
            y = np.sin(phi)
            self.plot_window.plot(x,y)

    def hold(self):
        for i in range(20):
            phi = 2*np.pi*i/20
            x = np.cos(phi)
            y = np.sin(phi)
            self.plot_window.plot(x,y)

if __name__ == '__main__':
    new = NewGUI()

Answer 1

根据 Jody Klymak 的评论，即使没有 snap=False，我也通过 cairo 后端得到了我想要的东西，请参阅附件。

import tkinter as tk
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkCairo')
from matplotlib.backends.backend_tkcairo import FigureCanvasTkCairo
from matplotlib.figure import Figure
import time

class Plotwindow():
    def __init__(self, root, size):
        self.root = root
        self.fig = Figure(size, constrained_layout=True)
        self.ax = self.fig.add_subplot(111)
        self.canvas = FigureCanvasTkCairo(self.fig, master=root.plot_frame)
        self.canvas.get_tk_widget().pack()

    def clear(self):
        self.ax.cla()

    def plot(self, x, y):
        self.ax.scatter(x, y, marker='o', s=2, color='black')
        self.ax.set_xlim(20*np.array([-1, 1]))
        self.ax.set_ylim(20*np.array([-1, 1]))
        self.canvas.draw()
        self.canvas.flush_events()
        
class NewGUI():
    def __init__(self):
        self.root = tk.Tk()
        self.root.resizable(False, False)
        self.root.geometry("405x405+400+200")

        self.button = tk.Button(self.root, text="Move", command=self.move)
        self.button.pack(side='top', fill='x')
        self.button = tk.Button(self.root, text="Hold", command=self.hold)
        self.button.pack(side='top', fill='x')

        self.plot_frame = tk.Frame()
        self.plot_frame.pack(side='bottom', fill='x')
        self.plot_window = Plotwindow(self, (15,15))
        self.plot_window.plot(1,0)

        self.root.mainloop()

    def move(self):
        for i in range(20):
            self.plot_window.clear()
            time.sleep(0.01)
            phi = 2*np.pi*i/20
            x = np.cos(phi)
            y = np.sin(phi)
            self.plot_window.plot(x,y)

    def hold(self):
        for i in range(20):
            phi = 2*np.pi*i/20
            x = np.cos(phi)
            y = np.sin(phi)
            self.plot_window.plot(x,y)

if __name__ == '__main__':
    new = NewGUI()

没有像素决定的标记位置？

Marker position without pixel decision?

python

matplotlib