matlab如何访问 cursor的data

在 MATLAB 中，要访问光标数据，需要使用以下命令：

datacursormode on

然后在图形窗口中使用光标选择数据点，此时 MATLAB 会显示一个光标数据提示框。可以通过以下命令来获取光标数据：

dcm_obj = datacursormode(gcf);
cursor_info = getCursorInfo(dcm_obj);

其中，`dcm_obj` 是数据光标模式对象，`cursor_info` 包含有关所选数据点的信息。可以使用以下命令来访问光标数据：

x = cursor_info.Position(1)
y = cursor_info.Position(2)

其中 `Position` 是一个包含光标位置的二元素向量，分别代表所选数据点的 X 和 Y 坐标。

相关问题

MATLAB如何获取data cursor的数据

在 MATLAB 中，获取数据光标的数据可以通过以下步骤实现：

1. 打开数据光标模式。可以通过在 MATLAB 命令窗口中输入 `datacursormode on` 命令来打开数据光标模式，或者在图形窗口的工具栏上点击数据光标按钮进行开启。

2. 点击图形窗口中的数据点。在数据光标模式下，鼠标指针会变成十字形，可以在图形窗口中单击所需获取数据的数据点。此时，会自动弹出数据光标窗口，显示所选数据的相关信息，包括坐标和数值等。

3. 获取数据光标数据。可以通过 `getCursorInfo` 函数获取数据光标数据。具体使用方法如下：

dcm_obj = datacursormode(gcf);
cursor_info = getCursorInfo(dcm_obj);

其中，`dcm_obj` 为数据光标对象，`cursor_info` 为包含所选数据点信息的结构体数组。可以通过 `cursor_info(i)` 访问第 i 个数据点的信息，包括其坐标、数值等。例如，获取第一个数据点的 x 坐标和 y 坐标可以使用以下命令：

x = cursor_info(1).Position(1);
y = cursor_info(1).Position(2);

这样就可以获取数据光标的数据了。

CURSOR与MATLAB

### CURSOR in MATLAB Usage and Functionality

In MATLAB, `cursor` objects are used to interact with plots or figures by allowing users to select points on a plot using mouse clicks. This feature is particularly useful for data exploration and analysis.

The primary way of working with cursors involves creating cursor objects that can be attached to axes within a figure window. These objects provide methods and properties to customize behavior such as snap-to-data mode, update mechanisms when moving between different locations on the graph, and more[^1].

For example, one might use the following code snippet to create an interactive cursor:

% Create some sample data
x = linspace(0, 2*pi);
y = sin(x);

% Plotting the sine wave
figure;
plot(x,y,'b');
title('Sine Wave');

% Adding interactivity via DataCursor object
dcm_obj = datacursormode(gcf); % Enable data cursor mode for current figure
set(dcm_obj,'UpdateFcn',@myupdatefcn); % Set custom display text callback function

Here, `datacursormode` enables interaction through clicking on plotted lines whereupon additional information about selected coordinates appears next to each point clicked upon. The optional parameter `'UpdateFcn'` allows specifying how this tooltip should look like based on user-defined logic implemented inside `myupdatefcn`.

Additionally, there exist specialized types of cursors tailored towards specific applications including financial charts (e.g., `finance.cursor`) which offer extended functionalities beyond basic pointer operations found under standard graphics handles.

--related questions--

1. How does setting up event listeners enhance interactions while exploring datasets visually?
2. What other graphical elements besides curves support attaching similar selection tools?
3. Can multiple instances of these interactive pointers coexist simultaneously without interference during runtime sessions?
4. Are there any performance considerations associated with enabling real-time updates from large-scale visualizations containing numerous datapoints?
5. In what scenarios would someone prefer utilizing built-in versus customized implementations provided by third-party libraries?