How to add custom annotations, from the dataframe, to a stacked bar chart?

Question

I\'m plotting a cross-tabulation of various offices within certain categories. I\'d like to put together a horizontal stacked bar chart where each office and its value is la

Answer 1

You could have also just changed the function annotateBars() to:

def annotateBars(row, ax=ax):
    curr_value = 0 
    for col in row.index:
        value = row[col]
        if (str(value) != 'nan'):
            ax.text(curr_value + (value)/2, labeltonum(row.name), col+","+str(value), ha='center',va='center')
            curr_value += value

Answer 2

Figured it out. If I iterate through the columns of each row of the dataframe I can build up a list of the labels I need that matches the progression of the rectangles in ax.patches. Solution below:

labels = []
for j in df.columns:
    for i in df.index:
        label = str(j)+": " + str(df.loc[i][j])
        labels.append(label)

patches = ax.patches

for label, rect in zip(labels, patches):
    width = rect.get_width()
    if width > 0:
        x = rect.get_x()
        y = rect.get_y()
        height = rect.get_height()
        ax.text(x + width/2., y + height/2., label, ha='center', va='center')

Which, when added to the code above, yields:

Now to just deal with re-arranging labels for bars that are too small.