70fc0bac9020011bf3f9b6386692d0e88e555a4f,atlas/report/qc_report.py,,main,#Any#Any#Any#Any#Any#,123

Before Change

    // N reads / N bases
    df = pd.read_table(read_counts, index_col=[0, 1])
    for variable in ["Total_Reads","Total_Bases"]:
        data = df[variable].unstack()[df.loc[df.index[0][0]].index.drop("clean")]
        div[variable] = offline.plot(
                data.iplot(
                    asFigure=True,

After Change

        data = df[variable].unstack()[df.loc[df.index[0][0]].index]

        if "clean" in data.columns:
            data.drop("clean",axis=1,inplace=True)

        div[variable] = offline.plot(
                data.iplot(
                    asFigure=True,
                    kind="bar",

Instances