prop_goals_shots.py

reb_goals = shot_df_agg2.loc[shot_df_agg2.shotTimeDiff <= 3, 'numGoals'].sum()
reb_shots = shot_df_agg2.loc[shot_df_agg2.shotTimeDiff <= 3, 'numShots'].sum()

norm_goals = shot_df_agg2.loc[shot_df_agg2.shotTimeDiff > 3, 'numGoals'].sum()
norm_shots = shot_df_agg2.loc[shot_df_agg2.shotTimeDiff > 3, 'numShots'].sum()

## Data
data = go.Bar(
    x=['Shots', 'Goals'],
    y=[reb_shots / norm_shots, reb_goals / norm_goals],
    name='Goal Count')

## Layout
layout = go.Layout(
    title='Rebound as a Proportion of Total (Shots and Goals)',
    height=400,
    width=800)

#Fig and Plot
fig = go.Figure(data=[data], layout=layout)
iplot(fig)