The process of using personalized arrows to move between various plots in Python typically involves the following steps:
- Create multiple plots using a library like Matplotlib or Seaborn.
- Define custom buttons or arrows using a library like Plotly, Bokeh or PyQt for each plot.
- Bind the buttons or arrows to the corresponding plot using its unique ID or label.
- Define a callback function that switches between the plots whenever a button or arrow is clicked.
- Link the callback function to the buttons or arrows using the appropriate event-handling mechanism provided by your chosen library.
- Test the interactive plot navigator by clicking on the personalized arrows to switch between different plots.
Overall, the process requires a good understanding of Python programming, data visualization, and user interface design.