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 | |