Skip to content

Develop add backwards intensity calculation #113

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kriboe90 merged 2 commits into from
Feb 12, 2026
Merged

Develop add backwards intensity calculation #113

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
14ecf8f
write distances_per_led_and_layer f as individual txt files to allow …
kriboe90 Feb 12, 2026
0cbcc9b
bugfix for reading results data
kriboe90 Feb 12, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
91 changes: 72 additions & 19 deletions examples/postprocessing.ipynb
View file
Open in desktop

Large diffs are not rendered by default.

3 changes: 2 additions & 1 deletion ledsa/analysis/ExtinctionCoefficients.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,8 @@ def set_all_member_variables(self) -> None:
"""
if len(self.distances_per_led_and_layer) == 0:
self.distances_per_led_and_layer = self.calc_distance_array()
np.savetxt(f'distances_per_led_and_layer.txt', self.distances_per_led_and_layer)
file_name = f'led_array_{self.experiment.led_array}_distances_per_layer.txt'
np.savetxt(file_name, self.distances_per_led_and_layer)
if self.calculated_img_data.empty:
self.load_img_data()
if self.ref_intensities.shape[0] == 0:
Expand Down
6 changes: 4 additions & 2 deletions ledsa/postprocessing/simulation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -137,12 +137,14 @@ def _get_extco_df_from_path(self):
file_df = pd.read_csv(file, skiprows=4)
channel = int(file.split('channel_')[1].split('_')[0])
led_array = int(file.split('array_')[1].split('.')[0])
n_layers = len(file_df.columns)
# For backwards compatibility, check if Experiment_Time[s] is already in the dataframe
if 'Experiment_Time[s]' not in file_df.columns:
if '# Experiment_Time[s]' not in file_df.columns:
time = self.image_info_df['Experiment_Time[s]'].astype(int)
file_df = file_df.merge(time, left_index=True, right_index=True)
else:
file_df.rename(columns={'# Experiment_Time[s]': 'Experiment_Time[s]'}, inplace=True) # TODO: this is just a workaround, do better...
file_df.set_index('Experiment_Time[s]', inplace=True)
n_layers = len(file_df.columns)
iterables = [[channel], [led_array], [i for i in range(0, n_layers)]]
file_df.columns = pd.MultiIndex.from_product(iterables, names=["Channel", "LED Array", "Layer"])
extco_list.append(file_df)
Expand Down
Loading