Fix graph.

# Taken from: http://composition.al/blog/2015/11/29/a-better-way-to-add-labels-to-bar-charts-with-matplotlib/

def autolabel(rects, ax, labels):

    # Get y-axis height to calculate label position from.

    (y_bottom, y_top) = ax.get_ylim()

    y_height = y_top - y_bottom

    (x_left, x_right) = ax.get_xlim()

    x_width = x_right - x_left

    for i, rect in enumerate(rects):

        height = rect.get_height()

        width = rect.get_width()

        color = "black"

        align = "left"

        # Fraction of axis height taken up by this rectangle

        p_height = (height / y_height)

        p_width = (width / x_width)

        # If we can fit the label above the column, do that;

        # otherwise, put it inside the column.

        if p_height > 0.50: # arbitrary; 95% looked good to me.

            label_position = 0.01

        if p_width > 0.50: # arbitrary; 95% looked good to me.

            label_position = width - (x_width) + 0.7

            color = "white"

            align = "right"

        else:

            label_position = height + (y_height * 0.01)

            label_position = width + (x_width * 0.01)

        ax.text(rect.get_x() + rect.get_width()/2., label_position,

                labels[i],

                ha='center', va='bottom', rotation=90, color=color)

        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color)

def _plot_critical_regions(df,hdb):

    correlations = list(map(lambda x: x['Correlation'], relevant))

    ticks = list(map(lambda x: "%s-%s" % (x['Start'][:-2], x['End'][:-2]), relevant))

    fig, ax = plt.subplots()

    rects = ax.bar(x, correlations, align="center", tick_label="")

    rects = ax.barh(x, correlations, align="center", tick_label="")

    autolabel(rects, ax, ticks)

    # TODO: find a more elegant solution for the label text