how can i plot a stacked bar chart by year with two values(columns)?

not sure if this is correct medium, but i am having trouble plotting this simple data:

how do i get the graph below - aplogies for this poor picture.

basically i want it stacked with the risk label being the legend, but the predicted and actual side by side for each year.. how can i achieve this in pandas? btw this is a pandas dataframe

e.g.

df_partial = df[['year','risk','predicted','actual']]
grouped = df_partial.groupby(['year','risk']).sum()[['predicted','actual']]
grouped.plot(kind='bar') 

it does not give me what i would like to see

import plotly.graph_objs as go
df = df.melt(id_vars=[year, risk], value_vars=[predicted, actual])
fig = go.Figure()

for risk in [low, medium, high]:
    tmp_df = df.query(frisk == '{risk}')
    fig.add_trace(
        go.Bar(
            x=[tmp_df[year], tmp_df[variable]], y=tmp_df[value], name=risk,
        )
    )
    
fig.update_layout(barmode=stack, height=400, width=800, margin=dict(b=60, t=20, l=20, r=20))
fig.show()

however i get :

how do i remove these faint lines? i've tried opacity does now work