pyvale.valid.valmetrics module

class ExpDataLoadOpts(file_ext: str = '.csv', delimiter: str = ',', skip_header: int = 1, threads_num: int | None = None)

Bases: object

file_ext

delimiter

skip_header

threads_num

__init__(file_ext='.csv', delimiter=',', skip_header=1, threads_num=None)

class ExpData(coords: dict[str, numpy.ndarray] | None = None, time: dict[str, numpy.ndarray] | None = None, fields: dict[str, numpy.ndarray] | None = None)

Bases: object

coords

time

fields

__init__(coords=None, time=None, fields=None)

load_exp_data(data_path, field_slices, frames=None, load_opts=None)

load_sim_data_tup(data_path, skip_header=0)

load_exp_data_tup(data_path, num_load=None, run_para=None)

fit_coord_matrix(coords)

find_nearest_points(coords, find_point, k=5)

plot_disp_comp_maps(sim_coords, sim_disp_avg, exp_coords_avg, exp_disp_avg, ax_ind, ax_str, scale_cbar=True, save_tag='', save_path=None)

plot_avg_field_maps_nosave(sim_coords, sim_disp_avg, exp_coords_avg, exp_disp_avg, ax_ind, field_str, scale_cbar=True)

interp_sim_to_common_grid(coords, disp, x_grid, y_grid, run_para=None)

interp_exp_to_common_grid(coords, disp, x_grid, y_grid, run_para=None)

mavm(model_data, exp_data, test=None)

Calculates the Modified Area Validation Metric. Adapted from Whiting et al., 2023, “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty”, Journal of Verification, Validation and Uncertainty Quantification, Vol. 8. Downloaded from http://asmedigitalcollection.asme.org/verification/article-pdf/8/1/011001/6974199/vvuq_008_01_011001.pdf on 24 May 2024.

mavm_figs(mavm_res, title_str, field_label, field_tag='', save_tag='', save_path=None)

plot_mavm_map(mavm_d_plus, mavm_d_minus, ax_ind, ax_str, grid_shape, extent, save_tag='', field_str='disp.', unit_str='mm', save_path=None)