| SNABSuite
    0.x
    Spiking Neural Architecture Benchmark Suite | 
Go to the source code of this file.
| Namespaces | |
| show_csv | |
| Functions | |
| def | show_csv.print_tabular () | 
| def | show_csv.plot_tabular () | 
| Variables | |
| show_csv.parser = argparse.ArgumentParser() | |
| show_csv.help | |
| show_csv.required | |
| show_csv.type | |
| show_csv.int | |
| show_csv.default | |
| show_csv.bool | |
| show_csv.str | |
| show_csv.args = parser.parse_args() | |
| show_csv.path = args.out | |
| tuple | show_csv.figsize = (7, 8) | 
| show_csv.cols = list(pd.read_csv(args.path, nrows=1)) | |
| list | show_csv.filter_in = [re.compile('[\w]*_weight'), re.compile('accuracy'), re.compile('pool_delay')] | 
| show_csv.csv_data = pd.read_csv(args.path, usecols=[i for i in cols if any(re.match(fil, i) for fil in filter_in)]) | |
| list | show_csv.data = [] | 
| show_csv.uni_accuracies = np.unique(data[-1]) | |
 1.8.11
 1.8.11