| SNABSuite
    0.x
    Spiking Neural Architecture Benchmark Suite | 
Go to the source code of this file.
| Namespaces | |
| 1dim_plot | |
| Functions | |
| def | 1dim_plot.cm2inch (value) | 
| def | 1dim_plot.plot_measure (ax, xs, ys, ys_std, color, simulator, xlabel, ylabel, ys_ref=None, first=True, ymin=None, ymax=None) | 
| def | 1dim_plot.normalize (data, norm) | 
| def | 1dim_plot.get_max (data) | 
| def | 1dim_plot.get_min (data) | 
| Variables | |
| 1dim_plot.parser = argparse.ArgumentParser(description='Plot one-dimensional graphs') | |
| 1dim_plot.help | |
| 1dim_plot.action | |
| 1dim_plot.type | |
| 1dim_plot.float | |
| 1dim_plot.int | |
| 1dim_plot.default | |
| 1dim_plot.str | |
| 1dim_plot.required | |
| 1dim_plot.True | |
| 1dim_plot.metavar | |
| 1dim_plot.nargs | |
| 1dim_plot.args = parser.parse_args() | |
| 1dim_plot.fig = plt.figure(figsize=(cm2inch(12), cm2inch(6.0))) | |
| 1dim_plot.ax = fig.add_subplot(111) | |
| 1dim_plot.results = np.genfromtxt(target_file, delimiter=',', names=True) | |
| 1dim_plot.keys = results.dtype.names | |
| 1dim_plot.data = np.zeros((results.shape[0], len(keys))) | |
| 1dim_plot.xs = np.array(data[:, args.x]) | |
| 1dim_plot.ys = np.array(data[:, args.y]) | |
| 1dim_plot.ys_dev = None | |
| 1dim_plot.xlabel = DIM_LABELS[keys[args.x]] | |
| 1dim_plot.ylabel = DIM_LABELS[keys[args.y]] | |
| 1dim_plot.max = get_max(np.abs(ys)) | |
| 1dim_plot.simulator = target_file.split('_')[-1].split('.csv')[0].split('.')[-1] | |
| 1dim_plot.color | |
| 1dim_plot.ymin | |
| 1dim_plot.ymax | |
| 1dim_plot.loc | |
| 1dim_plot.bbox_to_anchor | |
| 1dim_plot.ncol | |
| 1dim_plot.format | |
| 1dim_plot.bbox_inches | |
| 1dim_plot.o | |
 1.8.11
 1.8.11