# Option “-x” is deprecated and might be removed in a later version of gnome-terminal. # Option “-x” is deprecated and might be removed in a later version of gnome-terminal. # Use “-- ” to terminate the options and put the command line to execute after it. # Use “-- ” to terminate the options and put the command line to execute after it.这两句提示是什么意思，刚刚的<node name="local_planner" pkg="local_planner" type="local_planner.py" launch-prefix="gnome-terminal --title=local_planner -x"/> <node name="controller" pkg="local_planner" type="controller.py" launch-prefix="gnome-terminal --title=controller -x"/>中，-x不可以吗？那么如何在ROS noetic环境下，使用launch实现运行脚本并新开终端

这两句提示是关于`-x`选项在gnome-terminal中即将被弃用的警告消息。它们意味着在将来的gnome-terminal版本中，`-x`选项可能会被移除。提示建议使用`--`来终止选项，并在其后放置要执行的命令行。

在ROS Noetic环境下，如果你想使用.launch文件来运行脚本并在新终端中打开窗口，你可以尝试以下方法：

<launch>
  <node name="your_node_name" pkg="your_package" type="your_python_script.py" output="screen" launch-prefix="xterm -hold -e">
    <!-- Add any necessary arguments here -->
  </node>
</launch>

在上述代码中，我使用了`xterm -hold -e`作为`launch-prefix`属性值。这将使用xterm终端来替代gnome-terminal，并使用`-hold -e`选项来保持终端打开以查看输出。

请注意，你需要确保已经安装了xterm终端模拟器，否则可以使用其他可用的终端模拟器替代。

希望这个解决方案对你有帮助！如果还有其他问题，请随时提问。

相关问题

(from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version.

As an AI language model, I cannot predict when this message will be removed or what will be the replacement. However, it is recommended to check the TensorFlow documentation for updates on this matter.

FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.

Hello! It seems like you are encountering a FutureWarning related to the method `.ptp`. This warning is letting you know that the method `.ptp` will be removed in a future version of the software you are using, and you should instead use `numpy.ptp` for the same functionality.

To fix this warning, you can replace the usage of `.ptp` with `numpy.ptp`. Here's an example:

import numpy as np

# Assuming you have an array called 'data'
range_value = np.ptp(data)

By using `numpy.ptp`, you can avoid the warning and ensure compatibility with future versions of the software. Let me know if you have any further questions!