How to draw stacked bar plot from df.groupby('feature')['label'].value_counts()

cgs = cg.sum()
cgs.columns = ['number2']
d = pd.concat([bg.sum(), cgs], axis=1)
d.plot(kind='bar', stacked=True)

def on_pick(event)
    rect = event.artist

    # Get the artists and the labels
    handles,labels = rect.axes.get_legend_handles_labels()

    # Search for your current artist within all plot groups
    label = [label for h,label in zip(handles, labels) if rect in h.get_children()]

    # Should only be one entry but just double check
    if len(label) == 1:
        label = label[0]
    else:
        label = None

    print label

p <- ggplot() +
  geom_bar(data = Example,
           aes(x = X_Axis, y = Percent, fill = Stack_Group), stat = 'identity', width = 0.5)

d <- ggplot_build(p)$data[[1]]
setDT(d)

d[ , r := rank(group), by = x]

Example[ , x := .GRP, by = X_Axis]
Example[ , r := rank(Stack_Group), by = x]

d <- d[Example[ , .(X_Axis, Stack_Group, x, r)], on = .(x, r)]

x_start_nm <- "Count"
x_end_nm <- "Dollars"

e_start <- "A & B"
e_upper <- "A Mixed dollars"
e_lower <- "B Mixed Dollars"

d2 <- data.table(x_start = rep(d[X_Axis == x_start_nm & Stack_Group == e_start, xmax], 2),
                 y_start = d[X_Axis == x_start_nm & Stack_Group == e_start, c(ymax, ymin)],
                 x_end = rep(d[X_Axis == x_end_nm & Stack_Group == e_upper, xmin], 2),
                 y_end = c(d[X_Axis == x_end_nm & Stack_Group == e_upper, ymax],
                           d[X_Axis == x_end_nm & Stack_Group == e_lower, ymin]))

p + 
  geom_segment(data = d2, aes(x = x_start, xend = x_end, y = y_start, yend = y_end))

df2 = (df.groupby(['race','qualifier','participant'])
         .size()
         .unstack(level=-1)
         .reset_index()
      )

fig,axes = plt.subplots(1,2,figsize=(12,6),sharey=True)
for ax,q in zip(axes.ravel(),['first','last']):
    tmp_df = df2[df2.qualifier.eq(q)]
    tmp_df.plot.bar(x='race', ax=ax, stacked=True)