IPL analysis.py

high_scores=deliveries.groupby(['id', 'inning','batting_team','bowling_team'])['total_runs'].sum().reset_index() 
high_scores=high_scores[high_scores['total_runs']>=200]
hss = high_scores.nlargest(10,'total_runs')

trace = go.Table(
    header=dict(values=["Inning","Batting Team","Bowling Team", "Total Runs"],
                fill = dict(color = 'red'),
                font = dict(color = 'white', size = 14),
                align = ['center'],
               height = 30),
    cells=dict(values=[hss['inning'], hss['batting_team'], hss['bowling_team'], hss['total_runs']],
               fill = dict(color = ['lightsalmon', 'rgb(245, 245, 249)']),
               align = ['center'], font_size=13))

layout = dict(
    width=830,
    height=410,
    autosize=False,
    title='Highest scores of IPL',
    showlegend=False,    
)

fig1 = dict(data=[trace], layout=layout)
iplot(fig1)