def test_get_pipeline_statistics():
df = snaketools.get_pipeline_statistics()
"""
Pipeline statistics
=====================================
"""
########################################
# First, let us get the data
from sequana.snaketools import get_pipeline_statistics
df = get_pipeline_statistics()
#############################################
# Plot number of rules per pipeline
#
# Note that pacbio_qc is self-content
from pylab import title, tight_layout
df.sum().plot(kind="barh")
title("Number of rules per pipeline")
tight_layout()
#########################################
# Proportions of rules re-used
#
# Amongst the rules, about a third of the rules are not used at all in the pipelines.
# There are two reasons: either they were part of previous pipeline versions and
# were discarded in favour of new tools, or there were used for testing and kept
# in case of.
#
# Then, we can see that a third of the rules are used only once. And finally, about
"""
Pipeline statistics
=====================================
"""
########################################
# First, let us get the data
from sequana.snaketools import get_pipeline_statistics
df = get_pipeline_statistics()
#############################################
# Plot number of rules per pipeline
#
# Note that pacbio_qc is self-content
from pylab import title, tight_layout
df.sum().plot(kind="barh")
title("Number of rules per pipeline")
tight_layout()
#########################################
# Proportions of rules re-used
#
# Amongst the rules, about a third of the rules are not used at all in the pipelines.
# There are two reasons: either they were part of previous pipeline versions and
# were discarded in favour of new tools, or there were used for testing and kept
# in case of.
#
# Then, we can see that a third of the rules are used only once. And finally, about
# a third used more than once.
from pylab import clf, pie
def test_get_pipeline_statistics():
df = snaketools.get_pipeline_statistics()