/

figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_time_ave_pop_rates-checkpoint.py

@@ -34,7 +34,7 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
 
     matrix = np.zeros((len(area_list), len(A.network.structure['V1'])))
 
-    fig = plt.figure(figsize=(12, 8))
+    fig = plt.figure(figsize=(16, 4))
     ax = fig.add_subplot(111)
 
     for i, area in enumerate(area_list):
@@ -73,7 +73,7 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
     # 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)
-    ax.set_xticklabels(area_list, size=10.)
+    ax.set_xticklabels(area_list, rotation=90, size=10.)
     ax.set_yticks(y_index)
     # ax.set_yticklabels(A.network.structure_reversed['V1'])
     ax.set_yticklabels(A.network.structure['V1'][::-1])

figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py

@@ -34,7 +34,7 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
 
     matrix = np.zeros((len(area_list), len(A.network.structure['V1'])))
 
-    fig = plt.figure(figsize=(12, 8))
+    fig = plt.figure(figsize=(16, 4))
     ax = fig.add_subplot(111)
 
     for i, area in enumerate(area_list):
@@ -73,7 +73,7 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
     # 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)
-    ax.set_xticklabels(area_list, size=10.)
+    ax.set_xticklabels(area_list, rotation=90, size=10.)
     ax.set_yticks(y_index)
     # ax.set_yticklabels(A.network.structure_reversed['V1'])
     ax.set_yticklabels(A.network.structure['V1'][::-1])