Hi @kripow,
Welcome to the forum! I'm not part of the official QIIME 2 team, but I thought I'd chime in. If the kind of barplots you are looking for is similar to below
and if you are a Python user, you may want to check out the Dokdo package I wrote, especially the taxa_abundance_bar_plot
method:
qzv_file = 'data/moving-pictures-tutorial/taxa-bar-plots.qzv'
fig, [ax1, ax2, ax3, ax4, ax5] = plt.subplots(1, 5, figsize=(16, 7), gridspec_kw={'width_ratios': [2, 2, 2, 2, 1]})
kwargs = dict(level=6, count=8, sort_by_mean2=False)
api.taxa_abundance_bar_plot(qzv_file,
ax=ax1,
include_samples={'body-site': ['gut']},
**kwargs,
artist_kwargs=dict(title='gut'))
api.taxa_abundance_bar_plot(qzv_file,
ax=ax2,
include_samples={'body-site': ['left palm']},
**kwargs,
artist_kwargs=dict(title='left palm',
hide_ylabel=True,
hide_yticks=True))
api.taxa_abundance_bar_plot(qzv_file,
ax=ax3,
include_samples={'body-site': ['right palm']},
**kwargs,
artist_kwargs=dict(title='right palm',
hide_ylabel=True,
hide_yticks=True))
api.taxa_abundance_bar_plot(qzv_file,
ax=ax4,
include_samples={'body-site': ['tongue']},
**kwargs,
artist_kwargs=dict(title='tongue',
hide_ylabel=True,
hide_yticks=True))
api.taxa_abundance_bar_plot(qzv_file,
ax=ax5,
**kwargs,
artist_kwargs=dict(legend_only=True,
legend_loc='upper left',
legend_short=True))
plt.tight_layout()
plt.savefig('images/Dokdo-API/taxa_abundance_bar_plot-9-20210109.png')
You can see the entire Dokdo API here: GitHub - sbslee/dokdo: A Python package for microbiome sequencing analysis with QIIME 2.
Let me know if you have any questions. Good luck!