def save_plot(name, threshold, save_name='default', level="INFO"):
from view import plot_utils
path = resource_manager.Properties.getDefaultDataFold(
) + "result/temp/" + name + "/" + save_name + "/" "threshold.png"
plot_utils.save_scatter_diagram(None,
x=threshold['d_c'].values,
y=threshold['H'].values,
x_label='delta',
y_label='H',
title='threshold scatter figure',
path=path)
plot_utils.save_scatter_diagram(None,
x=threshold['d_c'].values,
y=threshold['H'].values,
x_label='delta',
y_label='H',
title='threshold scatter figure',
path=path)
if level == "DEBUG":
plot_utils.plot_scatter_diagram(None,
x=threshold['d_c'].values,
y=threshold['H'].values,
x_label='delta',
y_label='H',
title='threshold scatter figure')
plot_utils.plot_scatter_diagram(None,
x=threshold['H'].values,
y=threshold['d_c'].values,
x_label='delta',
y_label='H',
title='threshold scatter figure')
def show_cluster(index_id, data, distance_c, pile_id):
from view import plot_utils
pile_id = pile_id.sort_values('size', ascending=False)
x = []
y = []
label = []
i = 1
for m in range(len(pile_id)):
# l=pile_id.irow(m)['pile']
l = pile_id.iloc[m]['pile']
# size=pile_id.irow(m)['size']
size = pile_id.iloc[m]['size']
if size >= 1 and i < 15:
for node in l:
index = index_id[node]
x.append(data[index][0])
y.append(data[index][1])
label.append(i)
i = i + 1
else:
for node in l:
index = index_id[node]
x.append(data[index][0])
y.append(data[index][1])
label.append(0)
plot_utils.plot_scatter_diagram(None,
x=x,
y=y,
x_label='x',
y_label='y',
title='scatter figure',
label=label)
log.debug(pile_id)
def save_show_cluster(index_id, data, distance_c, pile_id, dataset="/", level="INFO", level_info='scatter figure'):
from view import plot_utils
from context import resource_manager
path = resource_manager.Properties.getDefaultDataFold() + "result" + resource_manager.getSeparator() + "temp/" + dataset + "/" + resource_manager.Properties.name_str_static() + "/"
level_path = resource_manager.Properties.getDefaultDataFold() + "result" + resource_manager.getSeparator() + "temp/" + level + "/" + resource_manager.Properties.name_str_static() + "/" + str(
distance_c) + "/"
if not os.path.exists(path[:path.rfind('/')]):
os.makedirs(path[:path.rfind('/')])
if not os.path.exists(level_path[:level_path.rfind('/')]):
os.makedirs(level_path[:level_path.rfind('/')])
pile_id = pile_id.sort_values('size', ascending=False)
x = []
y = []
label = []
i = 1
for m in range(len(pile_id)):
# l=pile_id.irow(m)['pile']
l = pile_id.iloc[m]['pile']
# size=pile_id.irow(m)['size']
size = pile_id.iloc[m]['size']
if pile_id.loc[m]['outlier'] is False:
for node in l:
index = index_id[node]
x.append(data[index][0])
y.append(data[index][1])
label.append(i)
i = i + 1
else:
for node in l:
index = index_id[node]
x.append(data[index][0])
y.append(data[index][1])
label.append(0)
if level is "SEE":
plot_utils.plot_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title=level_info, label=label)
if level is "DEBUG":
# plot_utils.save_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title='scatter figure', label=label,path=level_path+resource_manager.Properties.name_str_FULL()+".png")
plot_utils.save_all_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title=level_info, label=label,
path=level_path + resource_manager.Properties.name_str_FULL() + ".png")
else:
plot_utils.save_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title='scatter figure', label=label,
path=path + str(
distance_c) + ".png")
plot_utils.save_all_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title='scatter figure',
label=label,
path=path + str(
distance_c) + ".png")
# plot_utils.plot_scatter_diagram(None, x=x, y=y, x_label='x', y_label='y', title='scatter figure', label=label)
log.debug(("\n") + str(pile_id))
try:
p = Properties.getDefaultDataFold() + "/csv/" + dataset + "/" + resource_manager.Properties.name_str_static() + "/" + str(
distance_c) + ".csv"
pile_id.to_csv(p)
except:
if not os.path.exists(p[:p.rfind('/')]):
pp = p.rfind('/')
os.makedirs(p[:pp])
os.mknod(p)
pile_id.to_csv(p)
if __name__ == '__main__':
get_threshold()
from context.resource_manager import Properties
from view import shape_view
from view import plot_utils
from cluster import density_cluster
threshold = pandas.read_csv(Properties.getDefaultDataFold() +
"/csv/threshold.csv")
d_c = np.asarray(threshold['d_c'].values)
log.debug(d_c)
log.critical(type(d_c))
plot_utils.plot_scatter_diagram(None,
x=d_c,
y=threshold['H'].values,
x_label='delta',
y_label='H',
title='threshold scatter figure')
"""
delta_index=Series(id,index=id,dtype=np.float)
i=0
order_id=Series(result[:,0],index=id_index.values)
# to find the rho_j>rho_i
order_id=order_id.sort_values()
j=order_id.index[1]
# to find the
j=int(index_id[j])
# to find the i'key
k=str(id_index[i])