j_hartling/paper_2025
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Added loads of units in nearly all graphs.

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Overhauled fig_invariance_full.pdf.
Added some legends, somewhere.
This commit is contained in:
j-hartling
2026-04-28 19:43:05 +02:00
parent 7e1aa8721a
commit e70d100655
40 changed files with 965 additions and 471 deletions
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18
python/condense_inv_data_rect-lp.py
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@@ -1,7 +1,7 @@
import numpy as np
from thunderhopper.filetools import search_files
from thunderhopper.modeltools import load_data, save_data
from misc_functions import sort_files_by_rec
from misc_functions import sort_files_by_rec, divide_by_zero
from IPython import embed
# GENERAL SETTINGS:
@@ -26,14 +26,14 @@ search_path = '../data/inv/rect_lp/'
save_path = '../data/inv/rect_lp/condensed/'
# ANALYSIS SETTINGS:
mode = ['pure', 'noise'][1]
mode = ['pure', 'noise'][0]
normalization = [
'none',
'min',
'max',
'base',
'range',
][0]
][4]
suffix = dict(
none='_unnormed',
min='_norm-min',
@@ -79,18 +79,22 @@ for i, species in enumerate(target_species):
if normalization == 'min':
# Minimum normalization:
data[mkey] /= data[mkey].min(axis=0, keepdims=True)
data[mkey] = divide_by_zero(data[mkey], data[mkey].min(axis=0))
# data[mkey] /= data[mkey].min(axis=0, keepdims=True)
elif normalization == 'max':
# Maximum normalization:
data[mkey] /= data[mkey].max(axis=0, keepdims=True)
data[mkey] = divide_by_zero(data[mkey], data[mkey].max(axis=0))
# data[mkey] /= data[mkey].max(axis=0, keepdims=True)
elif normalization == 'base':
# Noise baseline normalization:
data[mkey] /= data[mkey][0]
data[mkey] = divide_by_zero(data[mkey], data[mkey][0])
# data[mkey] /= data[mkey][0]
elif normalization == 'range':
# Min-max normalization:
min_measure = data[mkey].min(axis=0, keepdims=True)
max_measure = data[mkey].max(axis=0, keepdims=True)
data[mkey] = (data[mkey] - min_measure) / (max_measure - min_measure)
data[mkey] = divide_by_zero(data[mkey] - min_measure, max_measure - min_measure)
# data[mkey] = (data[mkey] - min_measure) / (max_measure - min_measure)
file_data[stage][..., k] = data[mkey]