From ebf7d7fc99ffef730cf2bcdb77f752d933c00c82 Mon Sep 17 00:00:00 2001 From: sinergia Date: Wed, 9 Nov 2022 09:57:48 -0500 Subject: [PATCH] update calibratio --- maintenance.py | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/maintenance.py b/maintenance.py index a68b565..da989d8 100644 --- a/maintenance.py +++ b/maintenance.py @@ -380,19 +380,24 @@ class Maintenance(Workflow, ModelSQL, ModelView): def get_create_graph(matrix, patterns): image = BytesIO() - all_data = [] - - for mistake in matrix: - mean = sum(mistake)/len(mistake) - all_data.append(mean) - + errors = [] + yerr = [] + + count = 0 + for pattern in patterns: + error = pattern - matrix[count][0] + yerr.append(matrix[count][1]) + errors.append(error) + count+=1 + labels = list(patterns) + #raise UserError(str([labels,errors])) x = labels - y = all_data + y = errors - top = 0.40 - bottom = -0.40 + top = 0.60 + bottom = -0.60 ls = 'dotted' fig, ax1 = plt.subplots(nrows=1, ncols=1) @@ -408,7 +413,7 @@ class Maintenance(Workflow, ModelSQL, ModelView): ax1.set_yticks([-0.25,0.0,0.25]) #ax1.set_xticks([-10.0,-5.0,0.0,5.0,10.0]) - ax1.errorbar(x, y, yerr=0.1, marker='D', markersize=10, linestyle=ls) + ax1.errorbar(x, y, yerr=yerr, marker='D', markersize=10, linestyle=ls) plt.savefig(image, format='png') plt.close() @@ -452,8 +457,8 @@ class Maintenance(Workflow, ModelSQL, ModelView): pool = Pool() CalibrationLineTotal = pool.get('optical_equipment.maintenance.calibration') dates = {} - dates_mistake_pattern = {} - graph_data_matrix = [] + dates_mistake_pattern = [] + #graph_data_matrix = [] patterns = set() for maintenance in maintenances: @@ -465,11 +470,10 @@ class Maintenance(Workflow, ModelSQL, ModelView): if line.value_patterns.pattern not in patterns: patterns.add(line.value_patterns.pattern) dates[line.value_patterns.pattern] = [line.value_equipment] - dates_mistake_pattern[line.value_patterns.pattern] = [line.mistake] + #dates_mistake_pattern[line.value_patterns.pattern] = [line.mistake] else: dates[line.value_patterns.pattern].append(line.value_equipment) - dates_mistake_pattern[line.value_patterns.pattern].append(line.mistake) - + #dates_mistake_pattern[line.value_patterns.pattern].append(line.mistake) for pattern in patterns: samples = dates[pattern] @@ -499,10 +503,10 @@ class Maintenance(Workflow, ModelSQL, ModelView): t_student = t.ppf(1-0.025, uncertain_eff) uncertain_expanded = round((t_student * uncertain_c),2) + dates_mistake_pattern.append([mean,uncertain_expanded]) if maintenance.equipment.product.resolution_type == "analoga": calibrationLineTotal = CalibrationLineTotal( - graph_dates=str(dates_mistake_pattern[pattern]), diopter=pattern, mean=mean, dev_std=dev_std, @@ -523,7 +527,6 @@ class Maintenance(Workflow, ModelSQL, ModelView): elif maintenance.equipment.product.resolution_type == "digital": calibrationLineTotal = CalibrationLineTotal( - graph_dates=str(dates_mistake_pattern[pattern]), diopter=pattern, mean=mean, dev_std=dev_std, @@ -544,10 +547,7 @@ class Maintenance(Workflow, ModelSQL, ModelView): maintenance.save() - for i in dates_mistake_pattern.keys(): - graph_data_matrix.append(dates_mistake_pattern[i]) - - image = cls.get_create_graph(graph_data_matrix, patterns) + image = cls.get_create_graph(dates_mistake_pattern, patterns) maintenance.graph_calibration = image maintenance.save()