diff --git a/modules/icing/pirep_goes.py b/modules/icing/pirep_goes.py index b9536fa55b6df596060ee8d8ed125a8287d1bcc6..07562157b4f712d6ddaf996bf61efa89a957d6e7 100644 --- a/modules/icing/pirep_goes.py +++ b/modules/icing/pirep_goes.py @@ -950,7 +950,7 @@ def tile_extract(trnfile='/home/rink/tiles_l1b_train.h5', tstfile='/home/rink/ti trn_data_dct = {} for ds_name in train_params: trn_data_dct[ds_name] = data_dct[ds_name][trn_idxs,] - trn_icing_intesity = icing_intensity[trn_idxs,] + trn_icing_intensity = icing_intensity[trn_idxs,] trn_icing_times = icing_times[trn_idxs,] trn_icing_lons = icing_lons[trn_idxs,] trn_icing_lats = icing_lats[trn_idxs,] @@ -958,13 +958,13 @@ def tile_extract(trnfile='/home/rink/tiles_l1b_train.h5', tstfile='/home/rink/ti # Data augmentation ------------------------------------------------------------- if augment: trn_data_dct_aug = {ds_name: [] for ds_name in train_params} - trn_icing_intesity_aug = [] + trn_icing_intensity_aug = [] trn_icing_times_aug = [] trn_icing_lons_aug = [] trn_icing_lats_aug = [] - for k in range(trn_icing_intesity.shape[0]): - iceint = trn_icing_intesity[k] + for k in range(trn_icing_intensity.shape[0]): + iceint = trn_icing_intensity[k] icetime = trn_icing_times[k] icelon = trn_icing_lons[k] icelat = trn_icing_lats[k] @@ -975,9 +975,9 @@ def tile_extract(trnfile='/home/rink/tiles_l1b_train.h5', tstfile='/home/rink/ti trn_data_dct_aug[ds_name].append(np.flipud(dat[k,])) trn_data_dct_aug[ds_name].append(np.rot90(dat[k,])) - trn_icing_intesity_aug.append(iceint) - trn_icing_intesity_aug.append(iceint) - trn_icing_intesity_aug.append(iceint) + trn_icing_intensity_aug.append(iceint) + trn_icing_intensity_aug.append(iceint) + trn_icing_intensity_aug.append(iceint) trn_icing_times_aug.append(icetime) trn_icing_times_aug.append(icetime) @@ -993,14 +993,14 @@ def tile_extract(trnfile='/home/rink/tiles_l1b_train.h5', tstfile='/home/rink/ti for ds_name in train_params: trn_data_dct_aug[ds_name] = np.stack(trn_data_dct_aug[ds_name]) - trn_icing_intesity_aug = np.stack(trn_icing_intesity_aug) - trn_icing_times_aug = np.stack(trn_icing_intesity_aug) + trn_icing_intensity_aug = np.stack(trn_icing_intensity_aug) + trn_icing_times_aug = np.stack(trn_icing_intensity_aug) trn_icing_lons_aug = np.stack(trn_icing_lons_aug) trn_icing_lats_aug = np.stack(trn_icing_lats_aug) for ds_name in train_params: trn_data_dct[ds_name] = np.concatenate([trn_data_dct[ds_name], trn_data_dct_aug[ds_name]]) - trn_icing_intensity = np.concatenate([trn_icing_intesity, trn_icing_intesity_aug]) + trn_icing_intensity = np.concatenate([trn_icing_intensity, trn_icing_intensity_aug]) trn_icing_times = np.concatenate([trn_icing_times, trn_icing_times_aug]) trn_icing_lons = np.concatenate([trn_icing_lons, trn_icing_lons_aug]) trn_icing_lats = np.concatenate([trn_icing_lats, trn_icing_lats_aug])