CellMorphologyVisualizer.write_gif¶
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visualize.cell_morphology_visualizer.CellMorphologyVisualizer.write_gif(images_path, out_name, color=
'grey', show_synapses=False, show_legend=False, client=None, t_start=None, t_stop=None, t_step=None, highlight_section=None, highlight_x=None, overwrite_frames=False, tpf=20)¶ Creates a set of images where a neuron morphology color-coded with voltage together with synapse activations are shown for a set of time points. In each image the neuron rotates a bit (3 degrees) over its axis. These images are then put together into a gif. The parameters
t_start,t_stopandt_stepwill define thetimes_to_showattribute- Parameters:¶
- images_path : str¶
dir where the images for the gif will be generated
- out_name : str¶
path location of the resulting gif.
- color : str¶
color of the cell morphology. Can be a fixed color, or a keyword referring to scalar data of the simulation, such as membrane voltage or ion channel dynamics.
- show_synapses : bool¶
whether to show the synapse activation locations onto the morphology.
- show_legend : bool¶
whether to show the color legend in the plot.
- client : distributed.client.Client¶
dask client for parallelization
- t_start : float¶
start time point of our time series visualization
- t_stop : float¶
last time point of our time series visualization
- t_step : float¶
time between the different time points of our visualization
- highlight_section : int¶
section number of the section that should be highlighted with an arrow.
- highlight_x : float¶
x coordinate of the section that should be highlighted with an arrow.
- overwrite_frames : bool¶
whether to overwrite previously existing frames in the images_path directory.
- tpf : float¶
duration of each frame in ms
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