From 99dfae8c0c3f0153a139afb85740a9c9c2262424 Mon Sep 17 00:00:00 2001
From: didihou <didi.hou@rwth-aachen.de>
Date: Fri, 15 Sep 2023 18:58:44 +0200
Subject: [PATCH] /
---
.../MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py | 1 -
multiarea_model/analysis.py | 13 +++----------
2 files changed, 3 insertions(+), 11 deletions(-)
diff --git a/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py b/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
index 89b991a..63b9f8b 100644
--- a/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
+++ b/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
@@ -70,7 +70,6 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
x_ticks = [int(a + 0.5) for a in x_index]
y_index = list(range(len(A.network.structure['V1'])))
y_index = [a + 0.5 for a in y_index]
- # print(A.network.structure['V1'])
# ax.set_xticks(x_index)
ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
# ax.set_xticklabels(x_ticks)
diff --git a/multiarea_model/analysis.py b/multiarea_model/analysis.py
index 10a5c05..d2960fa 100644
--- a/multiarea_model/analysis.py
+++ b/multiarea_model/analysis.py
@@ -899,11 +899,8 @@ class Analysis:
ax = fig.add_subplot(111)
for i, area in enumerate(area_list):
- # print(i, area)
- # self.network has no attribute structure_reversed
- # for j, pop in enumerate(self.network.structure_reversed['V1']):
- # for j, pop in enumerate(list(reversed(self.network.structure['V1']))):
- for j, pop in enumerate(self.network.structure['V1']):
+ print(i, area)
+ for j, pop in enumerate(self.network.structure_reversed['V1']):
if pop in self.network.structure[area]:
rate = self.pop_rates[area][pop][0]
if rate == 0.0:
@@ -932,14 +929,10 @@ class Analysis:
x_ticks = [int(a + 0.5) for a in x_index]
y_index = list(range(len(self.network.structure['V1'])))
y_index = [a + 0.5 for a in y_index]
- # print(self.network.structure['V1'])
ax.set_xticks(x_index)
ax.set_xticklabels(x_ticks)
ax.set_yticks(y_index)
- # self.network has no attribute structure_reversed
- # ax.set_yticklabels(self.network.structure_reversed['V1'])
- # ax.set_yticklabels(list(reversed(self.network.structure['V1'])))
- # ax.set_yticklabels(self.network.structure['V1'])
+ ax.set_yticklabels(self.network.structure_reversed['V1'])
ax.set_ylabel('Population', size=18)
ax.set_xlabel('Area index', size=18)
t = FixedLocator([0.01, 0.1, 1., 10., 100.])
--
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