def atacseq_mark_duplicates_hist_plot(df, **kwargs):
"""Plot qualimap global statistics.
Args:
df(:class:`~pandas.DataFrame`): data frame holding summary of qualimap results. The summary is provided by :meth:`snakemakelib.odo.picard.resource_dup_metrics`.
kwargs(dict): keyword arguments
Returns:
:class:`bokeh.plotting.figure`: bokeh figure
Examples:
.. bokeh-plot::
:source-position: above
import pandas as pd
from bokeh.plotting import show
from snakemakelib_workflows.atacseq.app import atacseq_mark_duplicates_hist_plot
df = pd.DataFrame([['S1', 1.0, 1.5],
['S1', 2.0, 2.8],
['S2', 1.0, 1.9],
['S2', 2.0, 12.5]],
columns=['SM','BIN','VALUE'])
p = atacseq_mark_duplicates_hist_plot(df, width=200, height=200)
show(p)
"""
p = figure(width=kwargs.get('width', 400),
height=kwargs.get('height', 400),
title="Return of investment (no data)")
if df is None:
return p
lines(p, df=df, groups=["SM"], x="BIN", y="VALUE", legend="SM",
color="blue", line_width=2)
p.title.text = "Return of investment"
return p
def atacseq_mark_duplicates_hist_plot(df, **kwargs):
p = figure(width=400, height=400, title="Return of investment")
lines(p, df=df, groups=["SM"], x="BIN", y="VALUE", legend="SM", color="blue", line_width=2)
return p