will-gao42

def show_values_barplot(axs, space):
    def _show_on_plot(ax):
        for p in ax.patches:
            _x = p.get_x() + p.get_width() + float(space)
            _y = p.get_y() + p.get_height()
            value = round(float(p.get_width()), 2)
            ax.text(_x, _y, value, ha="left")

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):

will-gao42

def trim(df, col, qt):
    """
    Trim certain percentiles on both sides of a dataframe 
    """
    p1 = df[col].quantile(qt)
    p2 = df[col].quantile(1-qt)
    trimmed_df = df[df[col].between(p1, p2)]
    return trimmed_df