IPL analysis.py

matches_played=pd.concat([matches['team1'],matches['team2']])
matches_played=matches_played.value_counts().reset_index()
matches_played.columns=['Team','Total Matches']
matches_played['wins']=matches['winner'].value_counts().reset_index()['winner']

matches_played.set_index('Team',inplace=True)
totm = matches_played.reset_index().head(8)

trace = go.Table(
    header=dict(values=["Team","Total Matches","Wins"],
                fill = dict(color='#ff96ea'),
                font = dict(color=['rgb(45, 45, 45)'] * 5, size=14),
                align = ['center'],
               height = 30),
    cells=dict(values=[totm['Team'], totm['Total Matches'], totm['wins']],
               fill = dict(color=['rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)']),
               align = ['center'], font_size=13, height=25))

layout = dict(
    width=750,
    height=420,
    autosize=False,
    title='Total Matches vs Wins per team',
    margin = dict(t=100),
    showlegend=False,    
)

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