如何在tkinter中使用matplotlib中的范圍滑塊功能？

我已經撰寫了一個代碼來使用RangeSldider小部件來控制我的軸范圍。

from tkinter import *
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib import cm
from matplotlib.colors import ListedColormap
from RangeSlider.RangeSlider import RangeSliderH, RangeSliderV

root = Tk()
root.geometry("600x600")

def plot():
    x, y = np.mgrid[slice(0, 6, 1), slice(0, 6, 1)]
    z = np.arange(1,26).reshape(5,5)
    figure = Figure(figsize=(4, 4))
    ax = figure.add_subplot(111)

    col_type = cm.get_cmap('rainbow', 256)
    newcolors = col_type(np.linspace(0, 1, 1000))
    white = np.array([1, 1, 1, 1])
    newcolors[:1, :] = white
    newcmp = ListedColormap(newcolors)

    c = ax.pcolormesh(x, y, z, cmap=newcmp, edgecolor='lightgrey', linewidth=0.003)
    ax.figure.colorbar(c)

    ax.set_title('mY Title', fontweight="bold")
    ax.set_xlabel("X", fontsize=14)
    ax.set_ylabel("Y", fontsize=14)

    canvas = FigureCanvasTkAgg(figure, root)
    canvas.get_tk_widget().place(x=100, y=25)
    figure.patch.set_facecolor('#f0f0f0')

    ax.set_xlim(rs1.getValues())
    ax.set_ylim(rs2.getValues())

hVar1 = IntVar() # left handle variable
hVar2 = IntVar()  # right handle variable
rs1 = RangeSliderH(root, [hVar1, hVar2], Width=230, Height=55, padX=17, min_val=0, max_val=5, font_size=12,\
                   show_value=True, digit_precision='.0f', bgColor='#f0f0f0', line_s_color='black',\
                   line_color='black', bar_color_inner='black', bar_color_outer='#f0f0f0')
rs1.place(x=150, y=420)

vVar1 = IntVar()  # top handle variable
vVar2 = IntVar()  # down handle variable
rs2 = RangeSliderV(root, [vVar1, vVar2], Width=81, Height=180, padY=11, min_val=0, max_val=5, font_size=12,\
                   show_value=True, digit_precision='.0f', bgColor='#f0f0f0', line_s_color='black',\
                   line_color='black', bar_color_inner='black', bar_color_outer='#f0f0f0')
rs2.place(x=0, y=150)

button = Button(root, text="Plot", command=plot)
button.pack()

root.mainloop()

我得到了使用 . 提供的范圍滑塊功能的建議matplotlib。我在圖書館中搜索，并使用了FloatRangeSlider. 但我不知道如何添加范圍滑塊以顯示在畫布上并使其作業并立即更新圖形。

from tkinter import *
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.colors import ListedColormap

import ipywidgets as widgets

root = Tk()
root.geometry("600x600")

def plot():
    x, y = np.mgrid[slice(0, 6, 1), slice(0, 6, 1)]
    z = np.arange(1,26).reshape(5,5)
    figure = Figure(figsize=(8, 8))
    ax = figure.add_subplot(111)

    col_type = cm.get_cmap('rainbow', 256)
    newcolors = col_type(np.linspace(0, 1, 1000))
    white = np.array([1, 1, 1, 1])
    newcolors[:1, :] = white
    newcmp = ListedColormap(newcolors)

    c = ax.pcolormesh(x, y, z, cmap=newcmp, edgecolor='lightgrey', linewidth=0.003)
    ax.figure.colorbar(c)

    ax.set_title('mY Title', fontweight="bold")
    ax.set_xlabel("X", fontsize=14)
    ax.set_ylabel("Y", fontsize=14)

    sliderH = widgets.FloatRangeSlider(value=(0, 5), min=0, max=5, step=1, orientation='horizontal')
    sliderV = widgets.FloatRangeSlider(value=(0, 5), min=0, max=5, step=1, orientation='vertical')

    canvas = FigureCanvasTkAgg(figure, root)
    canvas.get_tk_widget().pack()

    def update():
        x, y = np.mgrid[slice(sliderH.value[0], sliderH.value[1], 1), slice(sliderV.value[0], sliderV.value[1], 1)]
        figure.canvas.draw()

    sliderH.observe(update, names='value')
    sliderV.observe(update, names='value')
    display(sliderH)
    display(sliderV)

button = Button(root, text="Plot", command=plot)
button.pack()

root.mainloop()

uj5u.com熱心網友回復：

除非我誤解了什么，否則您使用的不是 RangeSLider matplotlib，而是ipywidgets. 該庫用于 Jupyter 筆記本。

這是使用帶有實時軸范圍更新的 matplotlib 的 RangeSLider 的實作：

from tkinter import *

import matplotlib
import numpy as np

matplotlib.use('TkAgg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib import cm
from matplotlib.colors import ListedColormap

import matplotlib.widgets as widgets

root = Tk()
root.geometry("600x600")

x, y = np.mgrid[slice(0, 6, 1), slice(0, 6, 1)]
z = np.arange(1, 26).reshape(5, 5)
figure = Figure(figsize=(8, 8))

# Make figure a bit wider and taller
figure.subplots_adjust(bottom=0.2)
figure.subplots_adjust(left=0.2)
ax = figure.add_subplot(111)

col_type = cm.get_cmap('rainbow', 256)
newcolors = col_type(np.linspace(0, 1, 1000))
white = np.array([1, 1, 1, 1])
newcolors[:1, :] = white
newcmp = ListedColormap(newcolors)

c = ax.pcolormesh(x, y, z, cmap=newcmp, edgecolor='lightgrey', linewidth=0.003)
ax.figure.colorbar(c)

ax.set_title('mY Title', fontweight="bold")
ax.set_xlabel("X", fontsize=14)
ax.set_ylabel("Y", fontsize=14)

# Create X slider
slider_ax = figure.add_axes([0.2, 0.05, 0.6, 0.03])
sliderH = widgets.RangeSlider(slider_ax, "Val", valmin=0, valmax=5, valstep=1, valinit=(0, 5))
# Create Y slider
slider_ay = figure.add_axes([0.05, 0.25, 0.03, 0.6])
sliderV = widgets.RangeSlider(slider_ay, "Val", valmin=0, valmax=5, valstep=1, valinit=(0, 5), orientation='vertical')


def set_x_range(value):
    ax.set_xlim(xmin=value[0], xmax=value[1])


def set_y_range(value):
    ax.set_ylim(ymin=value[0], ymax=value[1])


sliderH.on_changed(set_x_range)
sliderV.on_changed(set_y_range)

canvas = FigureCanvasTkAgg(figure, root)
canvas.draw()

button = Button(root, text="Plot", command=canvas.get_tk_widget().pack)
button.pack()

root.mainloop()

這是它的外觀：

我有一個垂直滑塊的小問題，按鈕仍然是水平的。也許這只是我的環境，或者可能是 matplotlib 錯誤。
您可以通過在水平方向上使用兩個滑塊來解決它。

標籤：Python matplotlib tkinter

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