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Comments (3)

veghp avatar veghp commented on July 2, 2024

I have not found such option in the docs, but if you remove labels then you can get a plot without labels:

from dna_features_viewer import BiopythonTranslator
graphic_record = BiopythonTranslator().translate_record("example_sequence.gb")
for feature in graphic_record.features:
    feature.label = None
graphic_record.plot(figure_width=5)

index

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Zulko avatar Zulko commented on July 2, 2024

One way is to redefine compute_feature_label like in the last example in the Readme. Here is the minimal version:

from dna_features_viewer import BiopythonTranslator

class MyCustomTranslator(BiopythonTranslator):
    def compute_feature_label(self, feature):
        # display labels for CDS only, no label for other features
        return "CDS here" if (feature.type == "CDS") else None

graphic_record = MyCustomTranslator().translate_record("example_sequence.gb")

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sameerh avatar sameerh commented on July 2, 2024

I have not found such option in the docs, but if you remove labels then you can get a plot without labels:

from dna_features_viewer import BiopythonTranslator
graphic_record = BiopythonTranslator().translate_record("example_sequence.gb")
for feature in graphic_record.features:
    feature.label = None
graphic_record.plot(figure_width=5)

Hi Veghp and Zulko,
Thank you for your help. I will try this.
Appreciate your help.

from dnafeaturesviewer.

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