Athemis/pyKinetics
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Add legend to linear fits

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This commit is contained in:
Alexander Minges 2015-08-24 10:24:48 +02:00
parent 36ef5b8909
commit c8d7b192fa
1 changed files with 8 additions and 8 deletions
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16
libkinetics/__init__.py
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@ -48,12 +48,10 @@ class Replicate():
self.logger.info(msg.format(round(r_squared, 4)))
self.logger.info(' slope: {}'.format(slope))
if slope < 0:
self.logger.warning(' Slope is negative. Will use absolute '
'value for further calculations!')
self.logger.info(' Slope is negative. Will use absolute '
'value for further calculations!')
self.logger.info(' intercept: {}'.format(slope))
return {'slope': slope,
'intercept': intercept,
'r_value': r_value,
@ -95,8 +93,8 @@ class Measurement():
self.logger.info('Average slope: {} ± {}'.format(self.avg_slope,
self.avg_slope_err))
if self.avg_slope < 0:
self.logger.warning('Avererage slope is negative. Will use '
'absolute value for further calculations!')
self.logger.info('Avererage slope is negative. Will use '
'absolute value for further calculations!')
self.logger.info('-----')
def get_results(self):
@ -150,8 +148,10 @@ class Experiment():
if self.fit_to_replicates:
for r in m.replicates:
self.raw_kinetic_data['x'].append(m.concentration)
self.raw_kinetic_data['y'].append(np.absolute(r.fitresult['slope']))
self.raw_kinetic_data['yerr'].append(r.fitresult['std_err'])
self.raw_kinetic_data['y'].append(
np.absolute(r.fitresult['slope']))
self.raw_kinetic_data['yerr'].append(
r.fitresult['std_err'])
else:
# extract relevant data for kinetics calculation