适合多个文本框的提交功能

Question

我正在制作一个 Matplotlib GUI，我想在其中交互式地重新调整 x 和 y 轴的大小。为此，我想使用四个文本框，可以分别设置 x 轴和 y 轴限制的最小值和最大值。我到目前为止的代码是：

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.widgets import TextBox
import matplotlib.gridspec as gridspec

fig, ax = plt.subplots()
ax.plot([1,3,2])

fig.subplots_adjust(bottom=0.4)
gs = gridspec.GridSpec(2,2)
gs.update(left=0.4, right=0.7, bottom=0.15, top=0.25, hspace=0.1)

axes = [fig.add_subplot(gs[i,j]) for i,j in [[0,0],[0,1],[1,0],[1,1]]]
# create the textboxes
tb_xmin = TextBox(axes[0],'x', hovercolor='0.975', label_pad=0.1)
tb_xmax = TextBox(axes[1],'',  hovercolor='0.975')
tb_ymin = TextBox(axes[2],'y', hovercolor='0.975', label_pad=0.1)
tb_ymax = TextBox(axes[3],'',  hovercolor='0.975')

def submit(val):
    data = eval(val)
    # how to know which limit to set here?
    ax.set_xlim(data)
    plt.draw()

for tb in [tb_xmin,tb_xmax,tb_ymin,tb_ymax]:
    tb.on_submit(submit)
plt.show()

然而我被这个submit功能困住了。我想要一个函数来识别哪个文本框提交和输入，并在输入有效且在数据范围内的条件下设置适当的最小值或最大值。
谁能帮我吗？

Answer 1

为了通过文本框输入更新限制，您可以将一些参数与值一起传递给函数。实现此目的的一种方法是创建一个 lambda 函数，该函数根据要更新的限制预设了这些参数。

def submit(val,func,pos):
    data = float(val)    
    func([data,None][::pos])

tb_xmin.on_submit(lambda val: submit(val, ax.set_xlim, 1))
tb_xmax.on_submit(lambda val: submit(val, ax.set_xlim, -1))
tb_ymin.on_submit(lambda val: submit(val, ax.set_ylim, 1))
tb_ymax.on_submit(lambda val: submit(val, ax.set_ylim, -1))

另一种选择是在提交时始终调用相同的函数，让该函数收集所有 4 个文本框的值并同时设置限制。

import matplotlib.pyplot as plt
from matplotlib.widgets import TextBox
import matplotlib.gridspec as gridspec

fig, ax = plt.subplots()
ax.plot([1,3,2])

fig.subplots_adjust(bottom=0.4)
gs = gridspec.GridSpec(2,2)
gs.update(left=0.4, right=0.7, bottom=0.15, top=0.25, hspace=0.1)

axes = [fig.add_subplot(gs[i,j]) for i,j in [[0,0],[0,1],[1,0],[1,1]]]
# create the textboxes
xlim = ax.get_xlim()
ylim = ax.get_ylim()
tb_xmin = TextBox(axes[0],'x', initial = str(xlim[0]), hovercolor='0.975', label_pad=0.1)
tb_xmax = TextBox(axes[1],'',  initial = str(xlim[1]), hovercolor='0.975')
tb_ymin = TextBox(axes[2],'y', initial = str(ylim[0]), hovercolor='0.975', label_pad=0.1)
tb_ymax = TextBox(axes[3],'',  initial = str(ylim[1]), hovercolor='0.975')

def submit(val):
    lim = [float(tb.text) for tb in [tb_xmin,tb_xmax,tb_ymin,tb_ymax]]
    ax.axis(lim)
    fig.canvas.draw_idle()

for tb in [tb_xmin,tb_xmax,tb_ymin,tb_ymax]:
    tb.on_submit(submit)
plt.show()