diff --git a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_resting_state-checkpoint.py b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_resting_state-checkpoint.py index 4a212b6462a78647e70fda5f209562d181dcb106..842430178a5e510ce6b60c0a6dd3a15fccf30e79 100644 --- a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_resting_state-checkpoint.py +++ b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_resting_state-checkpoint.py @@ -204,7 +204,7 @@ def plot_resting_state(M, data_path): # 'Analysis', # 'rate_time_series_full', # 'rate_time_series_full_{}.npy'.format(area)) - fn = os.path.join(data_path, label, + fn = os.path.join(data_path, str(label), 'Analysis', 'rate_time_series-{}.npy'.format(area)) rate_time_series[area] = np.load(fn) @@ -219,13 +219,13 @@ def plot_resting_state(M, data_path): # rate_time_series_auto_kernel[area] = np.load(fn) # local variance revised (LvR) - fn = os.path.join(data_path, label, 'Analysis', 'pop_LvR.json') + fn = os.path.join(data_path, str(label), 'Analysis', 'pop_LvR.json') with open(fn, 'r') as f: pop_LvR = json.load(f) # correlation coefficients # fn = os.path.join(data_path, label, 'Analysis', 'corrcoeff.json') - fn = os.path.join(data_path, label, 'Analysis', 'synchrony.json') + fn = os.path.join(data_path, str(label), 'Analysis', 'synchrony.json') with open(fn, 'r') as f: corrcoeff = json.load(f) diff --git a/figures/MAM2EBRAINS/M2E_visualize_resting_state.py b/figures/MAM2EBRAINS/M2E_visualize_resting_state.py index 4a212b6462a78647e70fda5f209562d181dcb106..842430178a5e510ce6b60c0a6dd3a15fccf30e79 100644 --- a/figures/MAM2EBRAINS/M2E_visualize_resting_state.py +++ b/figures/MAM2EBRAINS/M2E_visualize_resting_state.py @@ -204,7 +204,7 @@ def plot_resting_state(M, data_path): # 'Analysis', # 'rate_time_series_full', # 'rate_time_series_full_{}.npy'.format(area)) - fn = os.path.join(data_path, label, + fn = os.path.join(data_path, str(label), 'Analysis', 'rate_time_series-{}.npy'.format(area)) rate_time_series[area] = np.load(fn) @@ -219,13 +219,13 @@ def plot_resting_state(M, data_path): # rate_time_series_auto_kernel[area] = np.load(fn) # local variance revised (LvR) - fn = os.path.join(data_path, label, 'Analysis', 'pop_LvR.json') + fn = os.path.join(data_path, str(label), 'Analysis', 'pop_LvR.json') with open(fn, 'r') as f: pop_LvR = json.load(f) # correlation coefficients # fn = os.path.join(data_path, label, 'Analysis', 'corrcoeff.json') - fn = os.path.join(data_path, label, 'Analysis', 'synchrony.json') + fn = os.path.join(data_path, str(label), 'Analysis', 'synchrony.json') with open(fn, 'r') as f: corrcoeff = json.load(f)