markus/lib-paveit-demo
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Auswertung Schersteifigkeit Labor Hart ergänzt

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This commit is contained in:
Markus Clauß
2023-03-03 12:53:03 +01:00
parent 1bbb560f31
commit e1dd4c7c00
6 changed files with 482 additions and 594 deletions
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19
src/paveit/labtest/base.py
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@@ -64,6 +64,8 @@ class DataSineLoad():
'F', 's_hor_sum', 's_hor_1', 's_hor_2', 's_piston'
]
self.round_values = [('T', 3)]
# Header names after standardization; check if exists
self.val_header_names = ['speciment_height', 'speciment_diameter']
@@ -197,7 +199,10 @@ class DataSineLoad():
def _post_apply_units(self):
for col in ['s_hor_sum', 's_hor_1', 's_hor_2']:
for col in [
's_hor_sum', 's_hor_1', 's_hor_2', 's_vert_sum', 's_vert_1',
's_vert_2'
]:
if col in self.data.columns:
self.data[col] = self.data[col].mul(self.unit_s)
@@ -209,6 +214,13 @@ class DataSineLoad():
return True
def _post_round_values(self):
for par, digits in self.round_values:
if par in self.data.columns:
self.data[par] = self.data[par].round(digits)
def _post_select_importent_columns(self):
# TODO: add more columns, check datamodel
@@ -223,6 +235,10 @@ class DataSineLoad():
self.data['s_hor_sum'] = self.data[['s_hor_1',
's_hor_2']].sum(axis=1)
if not 's_vert_sum' in cols:
self.data['s_vert_sum'] = self.data[['s_vert_1',
's_vert_2']].sum(axis=1)
def _post_opt_data(self):
#set dtypes:
for col in self.col_as_int:
@@ -342,6 +358,7 @@ class DataSineLoad():
self._post_string_to_float()
self._post_select_importent_columns()
self._post_apply_units()
self._post_round_values()
self._post_calc_missiong_values()
self._post_opt_data()