IPL analysis.py

Season_boundaries=batsmen.groupby("season")["batsman_runs"].agg(lambda x: (x==6).sum()).reset_index()
fours=batsmen.groupby("season")["batsman_runs"].agg(lambda x: (x==4).sum()).reset_index()
Season_boundaries=Season_boundaries.merge(fours,left_on='season',right_on='season',how='left')
Season_boundaries=Season_boundaries.rename(columns={'batsman_runs_x':'6"s','batsman_runs_y':'4"s'})

Season_boundaries['6"s'] = Season_boundaries['6"s']*6
Season_boundaries['4"s'] = Season_boundaries['4"s']*4
Season_boundaries['total_runs'] = season['total_runs']

trace1 = go.Bar(
    x=Season_boundaries['season'],
    y=Season_boundaries['total_runs']-(Season_boundaries['6"s']+Season_boundaries['4"s']),
    marker = dict(line=dict(color='#000000', width=1)),
    name='Remaining runs',opacity=0.6)

trace2 = go.Bar(
    x=Season_boundaries['season'],
    y=Season_boundaries['4"s'],
    marker = dict(line=dict(color='#000000', width=1)),
    name='Run by 4"s',opacity=0.7)

trace3 = go.Bar(
    x=Season_boundaries['season'],
    y=Season_boundaries['6"s'],
    marker = dict(line=dict(color='#000000', width=1)),
    name='Run by 6"s',opacity=0.7)


data = [trace1, trace2, trace3]
layout = go.Layout(title="Run Distribution per year",barmode='stack',xaxis = dict(tickmode='linear',title="Year"),
                                    yaxis = dict(title= "Run Distribution"), plot_bgcolor='rgb(245,245,245)')

fig = go.Figure(data=data, layout=layout)
iplot(fig)