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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) |
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