pypet
What is pypet all about?
Main Features
Getting Started!
Install
What to do with pypet?
Basic Work Flow
Quick Working Example
Cookbook
Naming Convention
More about the Environment
More on Trajectories and Single Runs
Interaction with Trajectories after an Experiment
Annotations
More on Parameters and Results
How to Structure your Simulations
Examples
01 First Steps
02 Natural Naming, Storage and Loading
03 Merging of Trajectories
04 Multiprocessing
05 Custom Parameter (Strange Attractor Inside!)
06 Parameter Presetting
07 Short Brian Example
08 Using the f_find_idx Function
09 Storing and Loading Large Results (or just Parts of them)
Library Reference
The Environment
The Trajectory, Single Runs and Group Nodes
Parameters and Results
Annotations
Utils
Exceptions
Global Constants
Storage Services
Brian Parameters, Results and Monitors
pypet
Docs
»
Cookbook
Edit on GitHub
Cookbook
ΒΆ
Here you can find some more explanations on various concepts of
pypet
.
Naming Convention
More about the Environment
Constructing an Environment
Config Data added by the Environment
Overview Tables
Purging duplicate Comments
Multiprocessing
Git Integration
Running an Experiment
Resuming an Experiment
More on Trajectories and Single Runs
Trajectory
Addition of Groups and Leaves (aka Results and Parameters)
Accessing Data in the Trajectory
Natural Naming
Shortcuts
Parameter Exploration
Presetting of Parameters
Storing
Loading
Removal of items
Merging and Backup
Single Runs
Interaction with Trajectories after an Experiment
Iterating over Loaded Data in a Trajectory
Looking for Subsets of Parameter Combinations (f_find_idx)
Annotations
More on Parameters and Results
Parameters
Values supported by Parameters
Types of Parameters
Results
Types of Results
How to Structure your Simulations
Read the Docs
v: 0.1b.2
Versions
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