如何在交互式绘图(Python)中用鼠标指向(x,y)位置?

2023-09-03Python开发问题
13

本文介绍了如何在交互式绘图(Python)中用鼠标指向(x,y)位置?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我使用 ipython 笔记本(带有神奇的 %matplotlib nbagg).我正在查看 matplotlib.widget.Cursor 但仅查看光标 widgets.Cursor.所以我想在图中选择两个点并获取初始和最终的 x,y 位置(例如时间与温度,选择点必须返回初始和最终时间).我需要它来手动选择任意间隔.我认为它类似于 获取全局 x,y 位置,但我在那篇文章中不太了解.

I use ipython notebook (with the magic %matplotlib nbagg). I was reviewing the matplotlib.widget.Cursor but the cursor is only viewed widgets.Cursor. So I'd like to select two points clicking in the plot and get the initial and final x,y-position (e.g. time vs Temperature, selecting to points must return initial and final time). I need it for selecting manually an arbitrary interval. I think it's similar to get global x,y position, but I didn't understand well in that post.

如何在交互式绘图 (Python) 中获得鼠标指向的 (x,y) 位置?

How can I get a (x,y) position pointing with mouse in a interactive plot (Python)?

观察.类似于 IDL 中的 CURSOR 过程

Obs. Something similar to CURSOR Procedure in IDL

推荐答案

事件处理应该工作.

import matplotlib.pylab as plt
import numpy as np

f,a = plt.subplots()
x = np.linspace(1,10,100)
y = np.sin(x)
a.plot(x,y)
pos = []
def onclick(event):
    pos.append([event.xdata,event.ydata])
f.canvas.mpl_connect('button_press_event', onclick)
f.show()

每次单击时,当前光标位置都会附加到 pos.

On each click the current cursor position is appended to pos.

这篇关于如何在交互式绘图(Python)中用鼠标指向(x,y)位置?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11