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# Counting gaps per sequence

We have several different ways of counting sequence gaps, and of visualising the results. By default, the `count_gaps_per_seq()` method returns a matrix of counts without the ability to visualise the results. When setting the argument `unique=True`, the counts are for gaps uniquely induced by each sequence. This can be a useful indicator of highly divergent sequences.

## Plotting counts of unique gaps

Using the `drawable` argument causes the returned object to have a `drawable` attribute (type `Drawable` which has `show()` and `write()` methods), for the corresponding plot type. The three plot types supported are shown below. In all cases, placing the mouse pointer over a data point will show hover text with the number of unique gaps and the sequence name.

## Displaying unique gaps as a bar chart

## Displaying unique gaps as a violin plot

## Displaying unique gaps as a box plot