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Currently, there is no easy way to adjust the xlim and ylim attributes of the figure displayed.
Similarly to what is done in Seaborn, what about passing an optional argument ax=None to plot_MA (and other plotting functions)? When ax is None, we let plot_MA create a figure and its axis. However, when Axes are passed to plot_MA, the method would use it for the scatter plot.
The text was updated successfully, but these errors were encountered:
In examples/examples/plot_minimal_pydeseq2_pipeline.py, we plot log-fold change versus mean expression using:
Currently, there is no easy way to adjust the
xlim
andylim
attributes of the figure displayed.Similarly to what is done in Seaborn, what about passing an optional argument
ax=None
toplot_MA
(and other plotting functions)? Whenax
isNone
, we letplot_MA
create a figure and its axis. However, when Axes are passed toplot_MA
, the method would use it for the scatter plot.The text was updated successfully, but these errors were encountered: