Commit 4ae2e030 authored by Hippalectryon's avatar Hippalectryon

Merge remote-tracking branch 'origin/master'

parents 06592d5b cdcc0ab9
......@@ -39,7 +39,7 @@ Processor().process("simulation_data/test.json", "processing_data/test", verbose
to_draw = ["quiver", "avg_speed", "avg_angle", "avg_polar", "angle_pdf"]
draw_options = {"max_num_groups": 1000, "max_group_size": 800}
Visualiser("processing_data/test", N10000_T500_L100_eta0.75.mp4, to_draw, "simulation_data/test.json", options=draw_options).vizualize()
Visualiser("processing_data/test", "visualisations/test.mp4", to_draw, "simulation_data/test.json", options=draw_options).vizualize()
```
Here's how it breaks down:
......@@ -63,7 +63,7 @@ The available options are "correlations_stochastic_points", "correlations_fit_sp
```python
to_draw = ["quiver", "avg_speed", "avg_angle", "avg_polar", "angle_pdf"]
draw_options = {"max_num_groups": 1000, "max_group_size": 800}
Visualiser("processing_data/test", N10000_T500_L100_eta0.75.mp4, to_draw, "simulation_data/test.json", options=draw_options).vizualize()
Visualiser("processing_data/test", "visualisations/test.mp4", to_draw, "simulation_data/test.json", options=draw_options).vizualize()
```
This draws the features _"quiver", "avg_speed", "avg_angle", "avg_polar", "angle_pdf"_ from simulation _simulation_data/test.json_ and processed data folder _processing_data/test_, and stores the resoluting animation in _visualisations/test.mp4_.
......@@ -72,6 +72,8 @@ The available features are "quiver", "avg_speed", "avg_angle", "avg_polar", "ang
The available options are "max_group_size", "max_num_groups", "quiver_color_by_group", "quiver_color_single", "quiver_draw_by_group", "groups_num_ymin", "vel_scaling", detailed in the docstring
Aggregating data from multiple experiments is done using a Jupyter notebook, downloadable at the following link : https://we.tl/t-QkvTySOvIw (too big for upload in this repository).
### Run one experiment remotely (SSH)
You can easily run experiments on remote machines via SSH, provided the remote machine has the repository cloned locally. For this purpose enabling loading/saving via Dropbox is particularly useful (turned off by default), it is most easily done by changing the default values of ```use_dropbox``` in _God/SaveAndLoad.py_.
......
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