Peter Vegh

Thank you for this contribution. There are no plans currently to support plotly, but will discuss it. In the meantime, your work is not lost and can be installed directly...

Hi, not out of the box I'm afraid. If it is a one-off, then the fastest way is to save as SVG: `ax.figure.savefig("from_genbank.svg")` Then open in [Inkscape](https://en.wikipedia.org/wiki/Inkscape) or another vector...

Thanks for the feedback. As for implementing this, I estimate it would be a significant re-write or addition: make vertical plots natively, then update [`compute_features_levels`](https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer/blob/6ace5cdff96bf995aa26167868b0dbb47f5f5952/dna_features_viewer/compute_features_levels.py#L30) with an option to compute...

Thanks, that would be a nice addition. Admittedly I never used bokeh so I wouldn't be the right person to implement, among other things. But if someone would like to...

Thank you very much for the feedback, it definitely helps us prioritising the tasks. As Zulko mentioned, we are happy to incorporate small changes to accommodate another package implementing this...

Thanks for bringing attention to this. I believe a solution would not be trivial, as the core algorithm that works on one plot and places the labels need to be...

Hi, thanks, yes I can confirm that `ax=axe1` in `plot_on_multiple_pages()` on line 6 causes the problem. To document the issue: the [`plot_line()`](https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer/blob/6ace5cdff96bf995aa26167868b0dbb47f5f5952/dna_features_viewer/GraphicRecord/MultilinePlottableMixin.py#L62) function takes [`ax`](https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer/blob/6ace5cdff96bf995aa26167868b0dbb47f5f5952/dna_features_viewer/GraphicRecord/MultilinePlottableMixin.py#L71) as an argument and `ax`...

I have not found such option in the docs, but if you remove labels then you can get a plot without labels: ```python from dna_features_viewer import BiopythonTranslator graphic_record = BiopythonTranslator().translate_record("example_sequence.gb")...

There is no such functionality, but you can install DNA Features Viewer in editable form. After downloading, go to the folder and install with: `pip install -e .` then you...

Alternatively, you can set or change plotting parameters: ``` import matplotlib.pyplot as plt plt.rcParams["font.style"] = "italic" ```