Add value labels to matplotlibs' bar or barh

add_value_labels.py

# See: plot_enhancements.py gist
def add_value_labels_barh(ax, spacing=5):
    """
    Add labels to the end of each bar in a barh chart.

    Tip: usually one need to add expansion of xlimit to keel labels inside plot, e.g.:
    ax.set_xlim(0, 1.1)
    
    Arguments:
        ax (matplotlib.axes.Axes): The matplotlib object containing the axes
            of the plot to annotate.
        spacing (int): The distance between the labels and the bars.
    """
    # from: https://stackoverflow.com/a/48372659/3247880

    # For each bar: Place a label
    for rect in ax.patches:
        # Get X and Y placement of label from rect.
        x_value = rect.get_width()
        y_value = rect.get_y() + rect.get_height() / 2

        # Number of points between bar and label. Change to your liking.
        space = spacing

        # Vertical alignment for positive values
        ha = 'left'

        # If value of bar is negative: Place label left of bar
        if x_value < 0:
            # Invert space to place label to the left
            space *= -1
            # Horizontally align label at right
            ha = 'right'

        # Use X value as label and format number with one decimal place
        label = "{:.2f}".format(x_value)

        # Create annotation
        plt.annotate(
            label,  # Use `label` as label
            (x_value, y_value),  # Place label at end of the bar
            xytext=(space, 0),  # Horizontally shift label by `space`
            textcoords="offset points",  # Interpret `xytext` as offset in points
            va='center',  # Vertically center label
            ha=ha)  # Horizontally align label differently for
        # positive and negative values.


def add_value_labels_bar(ax, spacing=5):
    """
    Add labels to the end of each bar in a bar chart.
    
    Tip: usually one need to add expansion of ylimit to keel labels inside plot, e.g.:
    ax.set_ylim(0, 1.1)
    
    Arguments:
        ax (matplotlib.axes.Axes): The matplotlib object containing the axes
            of the plot to annotate.
        spacing (int): The distance between the labels and the bars.
    """
    # For each bar: Place a label
    for rect in ax.patches:
        # Get X and Y placement of label from rect.
        y_value = rect.get_height()
        x_value = rect.get_x() + rect.get_width() / 2

        # Number of points between bar and label. Change to your liking.
        space = spacing
        # Vertical alignment for positive values
        va = 'bottom'

        # If value of bar is negative: Place label below bar
        if y_value < 0:
            # Invert space to place label below
            space *= -1
            # Vertically align label at top
            va = 'top'

        # Use Y value as label and format number with one decimal place
        label = "{:.1f}".format(y_value)

        # Create annotation
        ax.annotate(
            label,  # Use `label` as label
            (x_value, y_value),  # Place label at end of the bar
            xytext=(0, space),  # Vertically shift label by `space`
            textcoords="offset points",  # Interpret `xytext` as offset in points
            ha='center',  # Horizontally center label
            va=va)  # Vertically align label differently for
        # positive and negative values.