title = dict(
title_name='RGB-G+Seg(100k)',
title_color='#B6282F',
subtitle_name='Early Fusion',
subtitle_color='#B6282F',
title_name_2='RGB-G+Seg(224K)',
title_color_2='#0098A1',
subtitle_name_2='Early Fusion',
subtitle_color_2='#0098A1',
title_fontsize=18,
subtitle_fontsize=15,
)
## endnote
#endnote = "Visualization made by: Anmol Durgapal(@slothfulwave612)\nAll units are in per90"
fig, ax = plt.subplots(figsize=(10, 8))
## instantiate object
radar = Radar()
## plot radar -- alphas
fig, ax = radar.plot_radar(ranges=ranges, params=params, values=values,
radar_color=['#B6282F', '#0098A1'],
alphas=[0.8, 0.6], title=title,
compare=True,figax=(fig,ax), dpi=300)
plt.show()
df['Player'].sort_values(ascending=True)))
#categories = st.multiselect('Choose categories',list(df.columns[10:31]),list(df.columns[10:13]))
#player1 = st.selectbox("Player 1:",options=list(df['Player'].sort_values(ascending=True)) )
#player2 = st.selectbox("Player 2:",options=list(df['Player'].sort_values(ascending=True)) )
valuerange = []
for x in categories:
#df[x] = df[x].astype('float64',errors='ignore')
valuerange.append(
(min(df[df['Min'] > 300][x]), max(df[df['Min'] > 300][x]) * 1.1))
radar = Radar(background_color="#0E1117",
patch_color="#535353",
label_color="#FFFFFF",
range_color="#FFFFFF")
title = dict(
title_name=str(df.iloc[df[df['Player'].str.contains(player1) ==
True].index[0]]['Player']).split('\\')[0],
title_color='#B6282F',
subtitle_name=str(df.iloc[df[df['Player'].str.contains(player1) ==
True].index[0]]['Min']) + ' minutes',
subtitle_color='#B6282F',
title_name_2=str(df.iloc[df[df['Player'].str.contains(player2) ==
True].index[0]]['Player']).split('\\')[0],
title_color_2='#344D94',
subtitle_name_2=str(df.iloc[df[df['Player'].str.contains(player2) ==
True].index[0]]['Min']) + ' minutes',
subtitle_color_2='#344D94',
title_color='#CC071E',
subtitle_name='CCE DS3',
subtitle_color='#000000',
title_name_2='Separate NN',
title_color_2='#407FB7',
subtitle_name_2='CCE DS3',
subtitle_color_2='#000000',
title_fontsize=18,
subtitle_fontsize=15)
## endnote
#endnote = "Visualization made by: Anmol Durgapal(@slothfulwave612)\nAll units are in per90"
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 10))
## instantiate object
radar = Radar()
## plot radar -- alphas
fig, ax1 = radar.plot_radar(ranges=ranges,
params=params,
values=values,
radar_color=['#CC071E', '#407FB7'],
alphas=[0.7, 0.6],
title=title,
compare=True,
figax=(fig, ax1),
dpi=300)
fig, ax2 = radar.plot_radar(ranges=ranges,
params=params,
values=values1,
a = a - (a * 1.0)
b = max(player_data[params][x])
b = b + (b * 1.0)
ranges.append((a, b))
#Getting player stats- values
values = []
for idx, _ in player_data.iterrows():
values.append(player_data.loc[idx].values.tolist())
#Assigning title to the plot
title = dict(title_name='Jamie Vardy',
title_color='blue',
title_name_2='Alexander Isak',
title_color_2='Red',
title_fontsize=18)
endnote = '@amod\ndata via FBREF / Statsbomb'
#Potting the radar chart
radar = Radar()
fig, ax = radar.plot_radar(ranges=ranges,
params=params,
values=values,
radar_color=['blue', 'red'],
alphas=[.5, .7],
endnote=endnote,
title=title,
compare=True)