os.remove(fileTrunk + suffix)
except:
raise Exception('Could not create PDF Table.')
# ! Simple network
# ! ==============
# ! This is a simple network with two layers A and B; layer B has two
# ! populations, E and I. On the NEST side, we use only synapse type
# ! ``static_synapse``. ConnPlotter then infers that synapses with positive
# ! weights should have type ``exc``, those with negative weight type ``inh``.
# ! Those two types are know to ConnPlotter.
# ! Obtain layer, connection and model list from the example set
s_layer, s_conn, s_model = ex.simple()
# ! Create Connection Pattern representation
s_cp = cpl.ConnectionPattern(s_layer, s_conn)
# ! Show pattern as textual table (we cheat a little and include PDF directly)
showTextTable(s_cp, 'simple_tt')
# $ \centerline{\includegraphics{simple_tt.pdf}}
# ! Show pattern in full detail
# ! ---------------------------
# ! A separate patch is shown for each pair of populations.
# !
# ! - Rows represent senders, columns targets.
# ! - Layer names are given to the left/above, population names to the right
import pylab as cpy import ConnPlotter as c import ConnPlotter.examples as cex sl,sc,sm=cex.simple() print sl scp=c.ConnectionPattern(sl,sc) scp.plot() cpy.show()
os.remove(fileTrunk + suffix)
except:
raise Exception('Could not create PDF Table.')
# ! Simple network
# ! ==============
# ! This is a simple network with two layers A and B; layer B has two
# ! populations, E and I. On the NEST side, we use only synapse type
# ! ``static_synapse``. ConnPlotter then infers that synapses with positive
# ! weights should have type ``exc``, those with negative weight type ``inh``.
# ! Those two types are know to ConnPlotter.
# ! Obtain layer, connection and model list from the example set
s_layer, s_conn, s_model = ex.simple()
# ! Create Connection Pattern representation
# p is evaluated, in case it is a Parameter
for i in range(len(s_conn)):
s_conn[i][2]['p'] = eval(str(s_conn[i][2]['p']))
s_cp = cpl.ConnectionPattern(s_layer, s_conn)
# ! Show pattern as textual table (we cheat a little and include PDF directly)
showTextTable(s_cp, 'simple_tt')
# $ \centerline{\includegraphics{simple_tt.pdf}}
# ! Show pattern in full detail
# ! ---------------------------
# ! A separate patch is shown for each pair of populations.
import pylab as cpy import ConnPlotter as c import ConnPlotter.examples as cex sl, sc, sm = cex.simple() print sl scp = c.ConnectionPattern(sl, sc) scp.plot() cpy.show()
