本文整理汇总了Python中pypet.trajectory.Trajectory.f_load_items方法的典型用法代码示例。如果您正苦于以下问题：Python Trajectory.f_load_items方法的具体用法？Python Trajectory.f_load_items怎么用？Python Trajectory.f_load_items使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pypet.trajectory.Trajectory的用法示例。
在下文中一共展示了Trajectory.f_load_items方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_load_items [as 别名]
def main():
folder = 'experiments/example_11/HDF5/'
filename = 'Clustered_Network.hdf5'
filename = os.path.join(folder, filename)
# If we pass a filename to the trajectory a new HDF5StorageService will
# be automatically created
traj = Trajectory(filename=filename,
dynamically_imported_classes=[BrianDurationParameter,
BrianMonitorResult,
BrianParameter])
# Let's create and fake environment to enable logging:
Environment(traj, do_single_runs=False)
# Load the trajectory, but onyl laod the skeleton of the results
traj.f_load(index=0, # Change if you do not want to load the very first trajectory
load_parameters=2,
load_derived_parameters=2,
load_results=1)
# Find the result instances related to the fano factor
fano_dict = traj.f_get_from_runs('mean_fano_factor', fast_access=False)
# Load the data of the fano factor results
ffs = fano_dict.values()
traj.f_load_items(ffs)
# Extract all values and R_ee values for each run
ffs_values = [x.f_get() for x in ffs]
Rees = traj.f_get('R_ee').f_get_range()
# Plot average fano factor as a function of R_ee
plt.plot(Rees, ffs_values)
plt.xlabel('R_ee')
plt.ylabel('Avg. Fano Factor')
plt.show()