def main():
args = runlibs_2d.parse_args()
im_name = IM_NAME
run_script = os.path.join(SCRIPT_LOCATION, "Run_script.tcl")
runlibs_2d.main(args, im_name, run_script)
value_dict[recorder_name] = im_value
value_dict = {component: value_dict}
result_df = pd.DataFrame.from_dict(value_dict, orient="index")
result_df.index.name = "component"
cols = list(result_df.columns)
cols.sort()
# if os.path.isfile(im_csv_fname):
# print_header = False
# result_df = result_df.append(value_dict, ignore_index=True)
# print(result_df)
result_df.to_csv(im_csv_fname, header=print_header, columns=cols)
def read_out_file(file, success=True):
if success:
with open(file) as f:
lines = f.readlines()
value = lines[-1].split()[1]
return value
else:
return float("NaN")
if __name__ == "__main__":
args = runlibs_2d.parse_args()
main(args.comp_000, args.comp_090, args.output_dir, args.OpenSees_path)