Matplotlib - 用户通过图输入数字输入 [英] Matplotlib - user enters numeric input through figure

问题描述

我想要我的图形有一个小的输入窗口，用户可以在其中键入一个数字，而绘制的数据将跨越这许多分钟。如果他们输入30，他们将看到一个30分钟的时间窗口，如果他们键入5，matplotlib选择这一点，数据被修剪，只显示5分钟的数据。

I want my figure to have a small entry window, in which the user can type a number, and the data plotted will span that many minutes. If they enter 30, they will look at a 30-minute time window, if they type 5, matplotlib picks this up, data gets trimmed, and only 5 minutes worth of data gets shown.

我如何做到这一点？我注意到，SO的人推荐使用TkAgg，有没有办法做到没有它？如果我使用TkAgg，你能指点我的一个最小的例子，这是以互动的方式，即挑选用户做的新条目？

How can I do this? I noticed that people on SO recommend using TkAgg, is there a way to do this without it? If I do use TkAgg, can you point me to a minimal example that does this in an interactive manner, i.e. picks up new entries that the user makes?

谢谢

编辑：这是STREAMING数据，所以我想条件为动态形式，如给我最后15分钟，而不是在2:10和2:25'。
此外，我将自己执行数据的手动修剪，gui不必这样做。 gui只需要读一个数字，并让我可以使用。

This is STREAMING data, so I want to condition to be of dynamic form, such as 'give me last 15 minutes' rather than 'give me between 2:10 and 2:25'. Also, I will performing the trimming of the data manually myself, the gui doesn't have to do it. The gui only needs to read a single number and make it available to me.

一个更详细：不要担心窗帘背后发生了什么，我知道如何搞定此事。所有我想知道的只是如何读取一个数字从一个文本框中的数字在matplotlib。

ONE MORE DETAIL: Don't worry about what happens behind the curtains, I know how to take care of it. All I want to know is simply how to read a number from a text box on a figure in matplotlib.

推荐答案

认为你可以使用文本框做任何你想要的，而不使用第三方GUI程序。下面的例子显示了如何使用滑块只使用matplotlib本身来改变绘图的x限制。

I don't think you can do what you want using a text box without using a 3rd party GUI program. The example below shows how a slider can be used to change the x limits of a plot using just matplotlib itself.

示例使用 Slider widget 来控制xlimits。您可以在此处找到另一个使用许多小部件的示例。

The example used a Slider widget to control the xlimits. You can find another example of using many widgets here.

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

# Create some random data
x = np.linspace(0,100,1000)
y = np.sin(x) * np.cos(x)

left, bottom, width, height = 0.15, 0.02, 0.7, 0.10

fig, ax = plt.subplots()

plt.subplots_adjust(left=left, bottom=0.25) # Make space for the slider

ax.plot(x,y)

# Set the starting x limits
xlims = [0, 1]
ax.set_xlim(*xlims)

# Create a plt.axes object to hold the slider
slider_ax = plt.axes([left, bottom, width, height])
# Add a slider to the plt.axes object
slider = Slider(slider_ax, 'x-limits', valmin=0.0, valmax=100.0, valinit=xlims[1])

# Define a function to run whenever the slider changes its value.
def update(val):
    xlims[1] = val
    ax.set_xlim(*xlims)

    fig.canvas.draw_idle()

# Register the function update to run when the slider changes value
slider.on_changed(update)

plt.show()

下面是一些显示不同位置滑块的图：

Below are some plots showing the slider at different positions:

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