def main():
parsed = parser.parse_args(sys.argv[1:])
result = get_ifs(parsed)
#######################################
######################################
universe = UniversalSet(result.keys())
ifsG = IFS(universe, 1)
for k, value in result.items():
ifsG.set_bykey(k, value)
ifs01 = ifsG
####################################
####################################
plotbar = True
if 'stackbars' in parsed.plot:
plot_bar_Intuitionistic(ifs01)
# plot_together_Intuitionistic(ifs01)
indices, mus, nus, pis = ifs01.elements_split()
triangular = True
if '2dHistogram' in parsed.plot:
plot_triangular(mus, nus, ifs01.get_range(), bins=parsed.number_bins)
# test_legend()
# plot_triangular_with_arrows(ifs01)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
#
# plot_membership_3Dhistogram(ifs01,ax, bins=10, typs=['mu','nu'])
#
plot3D = True
if '3dHistogram' in parsed.plot:
plot_3D_histogramm(ifs01, bins=parsed.number_bins)
#plt.axes().set_aspect('equal', 'datalim')
plt.show()
a = 10
print("Inside...")
if __name__ == "__main__":
import matplotlib.pyplot as plt
from intuitionistic_fuzzy_set import IFS
from universal_set import UniversalSet
# from ifs_2Dplot import *
# from ifs_operators_topo import *
# fig, ax = plt.subplots()
universe = UniversalSet(set(range(20)))
fig = plt.figure()
plt.subplots_adjust(hspace=0.1, wspace=0.1)
ifs01 = IFS.random(universe, 1, randseed=1)
indices, mus, nus, pis = ifs01.elements_split()
axes01 = plt.subplot2grid((4, 6), (0, 0), rowspan=3, colspan=3)
##################
ax02 = plt.subplot2grid((4, 6), (0, 3), rowspan=3, colspan=3)
from widgets_basic import WidgetsSimple
widgets = WidgetsSimple(None)
# topo_c0101 = TopoConst(ax_01, 0.7, 0.2, 0.5)
ax02.set_ylim([0, 1])
from universal_set import UniversalSet
from intuitionistic_fuzzy_set import IFS
import matplotlib.pyplot as plt
universe = UniversalSet(set(range(50)))
fig = plt.figure()
plt.subplots_adjust(hspace=0.1, wspace=0.1)
ifs01 = IFS.random(universe, 1, randseed=1)
indices, mus, nus, pis = ifs01.elements_split()
ax = plt.subplot2grid((4,6), (0,0), rowspan=3, colspan=3)
# ax_01, line2d1_01 = plot_triangular_(ax,
# mus, nus, ifs01.get_range(), bins=19,
# rotation={'x':45, 'y':0})
# fig = plt.figure()
# ax = fig.add_subplot(111)
# rects = ax.bar(range(10), [1]*10)
# circ = HolderCircle(ax, (0.1,0.6), label='tuka')
def main():
args = sys.argv[1:]
arguments = [ ]
for arg in args:
print(arg)
arguments.append( args.strip() )
######################################
universe = UniversalSet(result.keys())
ifsG = IFS(universe, 1)
for k, value in result.items():
ifsG.set_bykey(k, value)
ifs01 = ifsG
####################################
####################################
if 'type_2' in arguments:
# plot_ifs(ifs01, typ="interval_valued")
# plot_stack(ifs01)
plot_bar_type_2(ifs01)
#
# plot_together_intValued(ifs01)
plotbar = True
if 'type_1' in arguments:
plot_bar_type_1(ifs01)
# plot_together_Intuitionistic(ifs01)
indices, mus, nus, pis = ifs01.elements_split()
triangular = True
if 'triangular' in arguments:
plot_triangular(mus, nus, ifs01.get_range(), bins=20)
# test_legend()
# plot_triangular_with_arrows(ifs01)
plot3D_membership = True
if 'plot3D_2D' in arguments:
fig = plt.figure()
ax = fig.gca(projection='3d')
# ax.set_aspect(aspect='equal')
plot_membership_3Dhistogram(ifs01,ax, bins=10, typs=['mu','nu'])
plot3D = True
if 'plot3D' in arguments:
plot_3D_histogramm(ifs01, bins=20)
#plt.axes().set_aspect('equal', 'datalim')
plt.show()
print("Inside...")
def open01(cons, ifs):
result_ifs = IFS.from_IFS(ifs)
for ind, val in ifs.emunerate_support_indeces():
result_ifs[ind] = open01(cons, val)
return result_ifs
def main():
universe = UniversalSet(set(range(100)))
ifs00 = IFS(universe, 1)
ifs00[1] = (1,0)
ifs00[2] = (0.25,0.35)
ifs00[3] = (0.3,0.7)
print(ifs00)
print(ifs00.neg)
ifs02 = IFS(universe, 1)
ifs02[0] = (0,1)
ifs02[1] = (0.3,0.4)
ifs02[2] = (0.4,0.35)
ifs02[3] = (0.3/2,0.7/2)
ifs02[4] = (0,0)
# print(ifs02)
# inter = piOrd.sup(ifs00, ifs02)
# print(inter)
#
ifs01 = IFS.random(universe, 1, randseed=2)
id,mu,nu,_ = ifs01.elements_split()
import pandas as pd
df = pd.DataFrame({'label':id,'mu':mu, 'nu':nu}, index=id)
df.to_csv('/home/evgeniy/Documents/IFS-Simulator/ifs-lattice/ifsholder/ifs_holder.csv')
plot_ifs(ifs01, typ="interval_valued")
plot_stack(ifs01)
plot_bar_intValued(ifs01)
plot_bar_Intuitionistic(ifs01)
plot_together_intValued(ifs01)
# plot_together_Intuitionistic(ifs01)
indices, mus, nus, pis = ifs01.elements_split()
plot_triangular(mus, nus, ifs01.get_range(), bins=19)
# test_legend()
# plot_triangular_with_arrows(ifs01)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
#
# plot_membership_3Dhistogram(ifs01,ax, bins=10, typs=['mu','nu'])
#
plot_3D_histogramm(ifs01, bins=10)
plt.show()
a = 10
# args = parse_arguments()
#
# logging.basicConfig(level=getattr(logging, args.log[0].upper()))
# logging.info('Files matching script starting...')
print("Inside...")
