def good_partner(champion_name):
assist_matrix_adjacency = champion_matrix.sqlite_to_assist_matrix('picks').T # norm by picks; edge from column to row
bibli_matrix = assist_matrix_adjacency.T * assist_matrix_adjacency # bibliography assist matrix, bibli_assist
temp_bibli_ten = pd.DataFrame(bibli_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]
plt_bibli = temp_bibli_ten.plot(kind='barh', title='Good partner of ' + champion_name + '(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
plt_bibli.savefig(champion_name + '_partner.png')
def good_partner(champion_name):
assist_matrix_adjacency = lola.sqlite_to_assist_matrix('picks').T # norm by picks; edge from column to row
bibli_matrix = assist_matrix_adjacency.T * assist_matrix_adjacency # bibliography assist matrix, bibli_assist
temp_bibli_ten = pd.DataFrame(bibli_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]
plt_bibli = temp_bibli_ten.plot(kind='barh', title='Good partner of ' + champion_name + '(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
plt_bibli.savefig(champion_name + '_partner.png')
def good_partner(champion_name):
assist_matrix = champion_matrix.sqlite_to_assist_matrix('picks') # norm by picks
assist_matrix_T = assist_matrix.T
coci_matrix = assist_matrix * assist_matrix_T # coci_assist
temp_coci_ten = pd.DataFrame(coci_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]
plt_coci = temp_coci_ten.plot(kind='barh', title='Good partner of ' + champion_name + '(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
plt_coci.savefig(champion_name + '_similar.png')
def assist(champion_name):
assist_matrix = champion_matrix.sqlite_to_assist_matrix('picks') # norm by picks
temp_series = pd.DataFrame(assist_matrix[champion_name]).sort(champion_name,ascending=False).iloc[0:10] # select column ,column been assisted by row
plttt = temp_series.plot(kind='barh', title='Top 10 choices to assist ' + champion_name, stacked=False).set_xlabel('Proportion').get_figure()
plttt.savefig(champion_name + '_assist.png')
def assist(champion_name):
assist_matrix = lola.sqlite_to_assist_matrix('picks') # norm by picks
temp_series = pd.DataFrame(assist_matrix[champion_name]).sort(champion_name,ascending=False).iloc[0:10] # select column ,column been assisted by row
plttt = temp_series.plot(kind='barh', title='Top 10 choices to assist ' + champion_name, stacked=False).set_xlabel('Proportion').get_figure()
plttt.savefig(champion_name + '_assist.png')
