| SNABSuite
    0.x
    Spiking Neural Architecture Benchmark Suite | 
Go to the source code of this file.
| Namespaces | |
| 2dim_plot | |
| Functions | |
| def | 2dim_plot.cm2inch (value) | 
| def | 2dim_plot.round_to_divisable (value, divisable) | 
| def | 2dim_plot.plot_measure2d (xs, ys, zs, xlabel, ylabel, zlabel="", zmin=None, zmax=None, qualitative=False, contour=True, title=None) | 
| Variables | |
| 2dim_plot.parser = argparse.ArgumentParser(description='Plot two-dimensional images') | |
| 2dim_plot.type | |
| 2dim_plot.float | |
| 2dim_plot.help | |
| 2dim_plot.int | |
| 2dim_plot.default | |
| 2dim_plot.action | |
| 2dim_plot.required | |
| 2dim_plot.True | |
| 2dim_plot.metavar | |
| 2dim_plot.nargs | |
| 2dim_plot.args = parser.parse_args() | |
| 2dim_plot.simulator = target_file.split('_')[-1].split('.csv')[0] | |
| 2dim_plot.experiment = target_file.split('/')[-1].split(simulator)[0] | |
| 2dim_plot.results = np.genfromtxt(target_file, delimiter=',', names=True) | |
| 2dim_plot.keys = results.dtype.names | |
| 2dim_plot.data = np.zeros((results.shape[0], len(keys))) | |
| 2dim_plot.fig | |
| 2dim_plot.format | |
| 2dim_plot.bbox_inches | |
 1.8.11
 1.8.11