def charts(self): # only get data if we're loading an actual report - this requires filters if 'location_id' in self.request.GET: chart = MultiBarChart(None, Axis(_('Products')), Axis(_('% of Facilities'), ',.1d')) chart.data = self.get_data_for_graph() return [chart]
def get_chart(self, rows, columns, x_label, y_label): chart = MultiBarChart('% of Groups Receiving Grades', x_axis=Axis(x_label), y_axis=Axis(y_label, '.0%')) chart.height = 400 chart.rotateLabels = -60 chart.marginBottom = 90 chart.marginLeft = 100 self._chart_data(chart, columns, rows) return [chart]
def get_chart(self, rows, x_label, y_label, data_provider): def _get_label_with_percentage(row): return "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1]))) if isinstance(data_provider, NutritionBirthWeightDetails): chart = PieChart('BirthWeight', '', [{'label': "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1]))), 'value': int(row[-1]['html'][:-1])} for row in rows[2:]], ['red', 'green']) chart.showLabels = False elif isinstance(data_provider, DeliveryPlaceDetailsExtended): chart = PieChart('', '', [{'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1])} for row in rows[1:]]) chart.showLabels = False elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)): chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 120 if isinstance(data_provider, ImmunizationOverview): chart.stacked = True chart.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[3]['html'][:-1]) / 100.0} for row in rows], color='green') chart.add_dataset('Dropout Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows], color='red') else: chart.add_dataset('Percentage', [{'x': row[0]['html'], 'y':int(row[-1]['html'][:-1]) / 100.0} for row in rows]) elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended): chart1 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart2 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart1.rotateLabels = -45 chart2.rotateLabels = -45 chart1.marginBottom = 120 chart2.marginBottom = 120 chart1.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[1:6]]) chart2.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[6:12]]) return [chart1, chart2] elif isinstance(data_provider, ChildrenDeathsByMonth): chart = LineChart('Seasonal Variation of Child Deaths', x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 120 months_mapping = dict((v, k) for k, v in enumerate(calendar.month_abbr)) chart.add_dataset('Percentage', [{'x': datetime.date(1, months_mapping[row[0][:3]], 1), 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows]) else: chart = PieChart('', '', [{'label': "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1]))), 'value': int(row[-1]['html'][:-1])} for row in rows]) chart.showLabels = False return [chart]
def get_chart(self, rows, columns, x_label, y_label, has_total_column=False): end = len(columns) if has_total_column: end -= 1 categories = [c.html for c in columns.header[1:end]] chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, ' ,d')) chart.rotateLabels = -45 chart.marginBottom = 120 self._chart_data(chart, categories, rows) return [chart]
def get_chart(self, rows, x_label, y_label): chunks = _chunks(list(rows), self.chunk_size + 1) charts = [] if self.request.GET.get('group_by', '') == 'domain': chunks = sorted(chunks, key=lambda k: k[0][0]) for chunk in chunks: chart = MultiBarChart(chunk[0][0], x_axis=Axis(x_label), y_axis=Axis(y_label, '.0%')) chart.height = 300 chart.rotateLabels = 0 chart.marginBottom = 80 chart.marginLeft = 100 self._chart_data(chart, chunk[1:]) charts.append(chart) return charts
def get_chart(self, rows, columns, x_label, y_label, has_total_column=False): """ Get a MultiBarChart model for the given set of rows and columns. :param rows: 2D list of report data. Assumes index 0 of each row is the row label :param columns: list of DatabaseColumn objects """ end = len(columns) if has_total_column: end -= 1 categories = [c.data_tables_column.html for c in columns[1:end]] chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, ' ,d')) chart.rotateLabels = -45 chart.marginBottom = 120 self._chart_data(chart, categories, rows) return [chart]
def charts(self): product_dashboard = ProductAvailabilityDashboardChart() product_availability = self.rows def convert_product_data_to_stack_chart(rows, chart_config): ret_data = [] for k in ['Stocked out', 'Not Stocked out', 'No Stock Data']: datalist = [] for product in rows: prd_code = SQLProduct.objects.get(product_id=product.product).code if k == 'No Stock Data': datalist.append([prd_code, product.without_data]) elif k == 'Stocked out': datalist.append([prd_code, product.without_stock]) elif k == 'Not Stocked out': datalist.append([prd_code, product.with_stock]) ret_data.append({'color': chart_config.label_color[k], 'label': k, 'data': datalist}) return ret_data chart = MultiBarChart('', x_axis=Axis('Products'), y_axis=Axis('')) chart.rotateLabels = -45 chart.marginBottom = 120 chart.stacked = self.chart_stacked for row in convert_product_data_to_stack_chart(product_availability, product_dashboard): chart.add_dataset(row['label'], [ {'x': r[0], 'y': r[1]} for r in sorted(row['data'], key=lambda x: x[0])], color=row['color'] ) return [chart]
def get_chart(self, rows, columns, x_label, y_label): chart = MultiBarChart('Adoption of Practices', x_axis=Axis(x_label), y_axis=Axis(y_label)) chart.forceY = [0, 100] chart.height = 700 chart.rotateLabels = -55 chart.marginBottom = 390 chart.marginLeft = 350 self._chart_data(chart, columns, rows) return [chart]
def get_chart(self, rows, columns, x_label, y_label): chart = MultiBarChart('% of Groups Receiving Grades', x_axis=Axis(x_label), y_axis=Axis(y_label)) chart.forceY = [0, 100] chart.height = 700 chart.rotateLabels = -90 chart.marginBottom = 390 chart.marginLeft = 100 self._chart_data(chart, columns, rows) return [chart]
def charts(self): rows = self.rows loc_axis = Axis(label="Location") tests_axis = Axis(label="Number of Tests", format=",.1d") chart = MultiBarChart("Number of Tests Per Location", loc_axis, tests_axis) chart.stacked = True chart.tooltipFormat = " in " chart.add_dataset( "Male Tests", [{'x':row[-10], 'y':row[-9]['html'] if row[-9] != "--" else 0} for row in rows], color="#0006CE" ) chart.add_dataset( "Female Tests", [{'x':row[-10], 'y':row[-8]['html'] if row[-8] != "--" else 0} for row in rows], color="#70D7FF" ) return [chart]
def get_chart(self, rows, x_label, y_label): chunks = _chunks(list(rows), self.chunk_size + 1) charts = [] for chunk in chunks: chart = MultiBarChart(chunk[0][0], x_axis=Axis(x_label), y_axis=Axis(y_label)) chart.forceY = [0, 100] chart.height = 300 chart.rotateLabels = 0 chart.marginBottom = 80 chart.marginLeft = 100 self._chart_data(chart, chunk[1:]) charts.append(chart) return charts
def get_chart(self, rows, x_label, y_label): chunks = _chunks(list(rows), self.chunk_size+1) charts = [] for chunk in chunks: chart = MultiBarChart(chunk[0][0], x_axis=Axis(x_label), y_axis=Axis(y_label)) chart.forceY = [0, 100] chart.height = 300 chart.rotateLabels = 0 chart.marginBottom = 80 chart.marginLeft = 100 self._chart_data(chart, chunk[1:]) charts.append(chart) return charts
def get_chart(self, rows, columns, x_label, y_label): chart = MultiBarChart('Adoption of Practices', x_axis=Axis(x_label), y_axis=Axis(y_label, '%')) if self.report_config['group'] == 'domain': chart.height = 550 chart.rotateLabels = -55 chart.marginBottom = 250 elif self.report_config['group'] == 'practice': chart.height = 700 chart.rotateLabels = -55 chart.marginBottom = 400 else: chart.height = 320 chart.rotateLabels = 0 chart.marginBottom = 50 chart.marginLeft = 200 chart.marginRight = 150 self._chart_data(chart, columns, rows) return [chart]
def charts(self): chart = MultiBarChart(None, Axis(''), Axis('')) chart.height = 400 chart.marginBottom = 100 chart.data = self.get_data_for_graph() return [chart]
def get_chart(self, rows, x_label, y_label, data_provider): def _get_label_with_percentage(row): return "%s [%d: %s%%]" % (row[0]['html'], int(row[-2]['html']), str(int(row[-1]['html'][:-1]))) if isinstance(data_provider, NutritionBirthWeightDetails): chart = PieChart(data_provider.chart_title, '', [{'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1])} for row in rows[2:]], ['red', 'green']) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 20 elif isinstance(data_provider, DeliveryPlaceDetailsExtended): chart = PieChart(data_provider.chart_title, '', [{'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1])} for row in rows[1:]]) chart.showLabels = False elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)): chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 150 chart.marginLeft = 45 chart.marginRight = 0 if isinstance(data_provider, ImmunizationOverview): chart.stacked = True chart.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[3]['html'][:-1]) / 100.0} for row in rows], color='green') chart.add_dataset('Dropout Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows], color='red') else: chart.add_dataset('Percentage', [{'x': row[0]['html'], 'y':int(row[-1]['html'][:-1]) / 100.0} for row in rows]) elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended): chart1 = MultiBarChart('ANC Visits', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart2 = MultiBarChart('Maternal TT & IFA', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart1.rotateLabels = -45 chart2.rotateLabels = -45 chart1.marginBottom = 150 chart2.marginBottom = 150 chart1.marginLeft = 20 chart2.marginLeft = 45 chart1.marginRight = 0 chart2.marginRight = 0 chart1.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[1:6]]) chart2.add_dataset('Percentage', [{'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[6:12]]) return [chart1, chart2] elif isinstance(data_provider, ChildrenDeathsByMonth): chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 50 chart.marginLeft = 20 chart.add_dataset('Percentage', [{'x': row[0], 'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows]) else: chart = PieChart(data_provider.chart_title, '', [{'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1])} for row in rows]) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 0 return [chart]
def charts(self): case_finding_sql_data = self.case_finding_sql_data[0] sputum_conversion_report = ReportFactory.from_spec( StaticReportConfiguration.by_id('static-%s-sputum_conversion' % self.domain), include_prefilters=True ) filter_values = {'date': QuarterFilter.get_value(self.request, self.domain)} locations_id = [ Choice(value=location_id, display='') for location_id in self.report_config.locations_id if location_id ] if locations_id: filter_values['village'] = locations_id sputum_conversion_report.set_filter_values(filter_values) sputum_conversion_data = sputum_conversion_report.get_data()[0] charts_sql_data = self.charts_sql_data[0] treatment_outcome_sql_data = self.treatment_outcome_sql_data[0] default_value = {'sort_key': 0} chart = PieChart(title=_('Cases by Gender'), key='gender', values=[]) chart.data = [ {'label': _('Male'), 'value': case_finding_sql_data.get('male_total', default_value)['sort_key']}, { 'label': _('Female'), 'value': case_finding_sql_data.get('female_total', default_value)['sort_key'] }, { 'label': _('Transgender'), 'value': case_finding_sql_data.get('transgender_total', default_value)['sort_key'] } ] chart2 = MultiBarChart(_('Cases By Type'), x_axis=Axis(''), y_axis=Axis('')) chart2.stacked = False chart2.showLegend = False positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary', default_value)['sort_key'] negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary', default_value)['sort_key'] positive_extra_pulmonary = case_finding_sql_data.get( 'new_positive_tb_extrapulmonary', default_value )['sort_key'] relapse_cases = case_finding_sql_data.get('recurrent_positive_tb', default_value)['sort_key'] failure_cases = case_finding_sql_data.get('failure_positive_tb', default_value)['sort_key'] lfu_cases = case_finding_sql_data.get('lfu_positive_tb', default_value)['sort_key'] others_cases = case_finding_sql_data.get('others_positive_tb', default_value)['sort_key'] chart2.add_dataset( _('New'), [ {'x': 'Smear +ve', 'y': positive_smear}, {'x': 'Smear -ve', 'y': negative_smear}, {'x': 'EP', 'y': positive_extra_pulmonary} ] ) chart2.add_dataset( _('Retreatment'), [ {'x': 'Relapse', 'y': relapse_cases}, {'x': 'Failure', 'y': failure_cases}, {'x': 'Treatment After Default', 'y': lfu_cases}, {'x': 'Others', 'y': others_cases} ] ) chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''), Axis('')) chart3.stacked = True chart3.add_dataset('Positive', [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get('new_sputum_positive_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get('new_sputum_positive_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('positive_endofip_patients_cat2', 0) }, ]) chart3.add_dataset(_('Negative'), [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get('new_sputum_negative_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get('new_sputum_negative_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('negative_endofip_patients_cat2', 0) }, ]) chart3.add_dataset('NA', [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get('new_sputum_na_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get('new_sputum_na_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0) }, ]) chart4 = PieChart( title=_('Total number of patients by category'), key='', values=[] ) chart4.data = [ { 'label': _('Cat1'), 'value': charts_sql_data.get('cat1_patients', default_value)['sort_key'] }, { 'label': _('Cat2'), 'value': charts_sql_data.get('cat2_patients', default_value)['sort_key'] } ] chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis('')) chart5.stacked = True chart5.add_dataset(_('Cured'), [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_cured', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_cured', default_value)['sort_key'] } ]) chart5.add_dataset('Treatment Complete', [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_treatment_complete', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_treatment_complete', default_value)['sort_key'] } ]) chart5.add_dataset('Died', [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_died', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_died', default_value)['sort_key'] } ]) chart5.add_dataset(_('Failure'), [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_treatment_failure', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_treatment_failure', default_value )['sort_key'] } ]) chart5.add_dataset(_('Loss to Follow-up'), [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_loss_to_follow_up', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_loss_to_follow_up', default_value )['sort_key'] } ]) chart5.add_dataset(_('Regimen Changed'), [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_regimen_changed', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_regimen_changed', default_value )['sort_key'] } ]) chart5.add_dataset('Not Evaluated', [ { 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_not_evaluated', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_not_evaluated', default_value)['sort_key'] } ]) return [ chart, chart2, chart3, chart4, chart5 ]
def get_chart(self, rows, x_label, y_label, data_provider): def _get_label_with_percentage(row): return "%s [%d: %s%%]" % (row[0]["html"], int(row[-2]["html"]), str(int(row[-1]["html"][:-1]))) if isinstance(data_provider, NutritionBirthWeightDetails): chart = PieChart( data_provider.chart_title, "", [{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows[2:]], ["red", "green"], ) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 20 elif isinstance(data_provider, DeliveryPlaceDetailsExtended): chart = PieChart( data_provider.chart_title, "", [{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows[1:]], ) chart.showLabels = False elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)): chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%")) chart.rotateLabels = -45 chart.marginBottom = 150 chart.marginLeft = 45 chart.marginRight = 0 if isinstance(data_provider, ImmunizationOverview): chart.stacked = True chart.add_dataset( "Percentage", [{"x": row[0]["html"], "y": int(row[3]["html"][:-1]) / 100.0} for row in rows], color="green", ) chart.add_dataset( "Dropout Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows], color="red", ) else: chart.add_dataset( "Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows] ) elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended): chart1 = MultiBarChart("ANC Visits", x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%")) chart2 = MultiBarChart("Maternal TT & IFA", x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%")) chart1.rotateLabels = -45 chart2.rotateLabels = -45 chart1.marginBottom = 150 chart2.marginBottom = 150 chart1.marginLeft = 20 chart2.marginLeft = 45 chart1.marginRight = 0 chart2.marginRight = 0 chart1.add_dataset( "Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows[1:6]] ) chart2.add_dataset( "Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows[6:12]] ) return [chart1, chart2] elif isinstance(data_provider, ChildrenDeathsByMonth): chart = MultiBarChart( data_provider.chart_title, x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, ".2%") ) chart.rotateLabels = -45 chart.marginBottom = 50 chart.marginLeft = 20 chart.add_dataset("Percentage", [{"x": row[0], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows]) else: chart = PieChart( data_provider.chart_title, "", [{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows], ) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 0 return [chart]
def charts(self): case_finding_sql_data = self.case_finding_sql_data[0] sputum_conversion_report = ReportFactory.from_spec( StaticReportConfiguration.by_id('static-%s-sputum_conversion' % self.domain), include_prefilters=True) filter_values = {'date': self.datespan} locations_id = [ Choice(value=location_id, display='') for location_id in self.report_config.locations_id if location_id ] if locations_id: filter_values['village'] = locations_id if self.report_config.is_migrated is not None: filter_values['is_migrated'] = Choice( value=self.report_config.is_migrated, display='') sputum_conversion_report.set_filter_values(filter_values) sputum_conversion_data = sputum_conversion_report.get_data()[0] charts_sql_data = self.charts_sql_data[0] treatment_outcome_sql_data = self.treatment_outcome_sql_data[0] default_value = {'sort_key': 0} chart = PieChart(title=_('Cases by Gender'), key='gender', values=[]) chart.data = [{ 'label': _('Male'), 'value': case_finding_sql_data.get('male_total', default_value)['sort_key'] }, { 'label': _('Female'), 'value': case_finding_sql_data.get('female_total', default_value)['sort_key'] }, { 'label': _('Transgender'), 'value': case_finding_sql_data.get('transgender_total', default_value)['sort_key'] }] chart2 = MultiBarChart(_('Cases By Type'), x_axis=Axis(''), y_axis=Axis('')) chart2.stacked = False chart2.showLegend = False positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary', default_value)['sort_key'] negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary', default_value)['sort_key'] positive_extra_pulmonary = case_finding_sql_data.get( 'new_positive_tb_extrapulmonary', default_value)['sort_key'] relapse_cases = case_finding_sql_data.get('recurrent_positive_tb', default_value)['sort_key'] failure_cases = case_finding_sql_data.get('failure_positive_tb', default_value)['sort_key'] lfu_cases = case_finding_sql_data.get('lfu_positive_tb', default_value)['sort_key'] others_cases = case_finding_sql_data.get('others_positive_tb', default_value)['sort_key'] chart2.add_dataset(_('New'), [{ 'x': 'Smear +ve', 'y': positive_smear }, { 'x': 'Smear -ve', 'y': negative_smear }, { 'x': 'EP', 'y': positive_extra_pulmonary }]) chart2.add_dataset(_('Retreatment'), [{ 'x': 'Relapse', 'y': relapse_cases }, { 'x': 'Failure', 'y': failure_cases }, { 'x': 'Treatment After Default', 'y': lfu_cases }, { 'x': 'Others', 'y': others_cases }]) chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''), Axis('')) chart3.stacked = True chart3.add_dataset('Positive', [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get( 'new_sputum_positive_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get( 'new_sputum_positive_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('positive_endofip_patients_cat2', 0) }, ]) chart3.add_dataset(_('Negative'), [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get( 'new_sputum_negative_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get( 'new_sputum_negative_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('negative_endofip_patients_cat2', 0) }, ]) chart3.add_dataset('NA', [ { 'x': _('New Sputum +ve (2 month IP)'), 'y': sputum_conversion_data.get('new_sputum_na_patient_2months_ip', 0) }, { 'x': _('New Sputum +ve (3 month IP)'), 'y': sputum_conversion_data.get('new_sputum_na_patient_3months_ip', 0) }, { 'x': _('Cat II (3 month IP)'), 'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0) }, ]) chart4 = PieChart(title=_('Total number of patients by category'), key='', values=[]) chart4.data = [{ 'label': _('Cat1'), 'value': charts_sql_data.get('cat1_patients', default_value)['sort_key'] }, { 'label': _('Cat2'), 'value': charts_sql_data.get('cat2_patients', default_value)['sort_key'] }] chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis('')) chart5.stacked = True chart5.add_dataset(_('Cured'), [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_cured', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_cured', default_value)['sort_key'] }]) chart5.add_dataset('Treatment Complete', [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_treatment_complete', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_treatment_complete', default_value)['sort_key'] }]) chart5.add_dataset('Died', [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_died', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_died', default_value)['sort_key'] }]) chart5.add_dataset(_('Failure'), [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_treatment_failure', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_treatment_failure', default_value)['sort_key'] }]) chart5.add_dataset(_('Loss to Follow-up'), [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_loss_to_follow_up', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_loss_to_follow_up', default_value)['sort_key'] }]) chart5.add_dataset(_('Regimen Changed'), [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_regimen_changed', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get( 'recurrent_patients_regimen_changed', default_value)['sort_key'] }]) chart5.add_dataset('Not Evaluated', [{ 'x': _('New'), 'y': treatment_outcome_sql_data.get('new_patients_not_evaluated', default_value)['sort_key'] }, { 'x': _('Retreatment'), 'y': treatment_outcome_sql_data.get('recurrent_patients_not_evaluated', default_value)['sort_key'] }]) return [chart, chart2, chart3, chart4, chart5]
def get_chart(self, rows, x_label, y_label, data_provider): def _get_label_with_percentage(row): return "%s [%d: %s%%]" % (row[0]['html'], int( row[-2]['html']), str(int(row[-1]['html'][:-1]))) if isinstance(data_provider, NutritionBirthWeightDetails): chart = PieChart(data_provider.chart_title, '', [{ 'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1]) } for row in rows[2:]], ['red', 'green']) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 20 elif isinstance(data_provider, DeliveryPlaceDetailsExtended): chart = PieChart(data_provider.chart_title, '', [{ 'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1]) } for row in rows[1:]]) chart.showLabels = False elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)): chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 150 chart.marginLeft = 45 chart.marginRight = 0 if isinstance(data_provider, ImmunizationOverview): chart.stacked = True chart.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': int(row[3]['html'][:-1]) / 100.0 } for row in rows], color='green') chart.add_dataset('Dropout Percentage', [{ 'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0 } for row in rows], color='red') else: chart.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0 } for row in rows]) elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended): chart1 = MultiBarChart('ANC Visits', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart2 = MultiBarChart('Maternal TT & IFA', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart1.rotateLabels = -45 chart2.rotateLabels = -45 chart1.marginBottom = 150 chart2.marginBottom = 150 chart1.marginLeft = 20 chart2.marginLeft = 45 chart1.marginRight = 0 chart2.marginRight = 0 chart1.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0 } for row in rows[1:6]]) chart2.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': int(row[-1]['html'][:-1]) / 100.0 } for row in rows[6:12]]) return [chart1, chart2] elif isinstance(data_provider, ChildrenDeathsByMonth): chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 50 chart.marginLeft = 20 chart.add_dataset('Percentage', [{ 'x': row[0], 'y': int(row[-1]['html'][:-1]) / 100.0 } for row in rows]) else: chart = PieChart(data_provider.chart_title, '', [{ 'label': _get_label_with_percentage(row), 'value': int(row[-1]['html'][:-1]) } for row in rows]) chart.showLabels = False chart.marginLeft = 20 chart.marginRight = 0 chart.marginBottom = 0 return [chart]
def charts(self): if 'location_id' in self.request.GET: # hack: only get data if we're loading an actual report chart = MultiBarChart(None, Axis(_('Products')), Axis(_('% of Facilities'), ',.1d')) chart.data = self.get_data_for_graph() return [chart]
def get_chart(self, rows, x_label, y_label, data_provider): def _get_label_with_percentage(row): return "%s [%s%%]" % (row[0], str(float(row[-1]['html'][:-1]))) if isinstance(data_provider, (ClosedMotherCasesBreakdown, ClosedChildCasesBreakdown)): chart = PieChart('', '', [{ 'label': _get_label_with_percentage(row), 'value': float(row[-1]['html'][:-1]) } for row in rows]) elif isinstance(data_provider, NutritionBirthWeightDetails): chart = PieChart('BirthWeight', '', [{ 'label': "%s [%s%%]" % (row[0]['html'], str(float(row[-1]['html'][:-1]))), 'value': float(row[-1]['html'][:-1]) } for row in rows[1:]], ['red', 'green']) elif isinstance(data_provider, DeliveryPlaceDetailsExtended): chart = PieChart('', '', [{ 'label': _get_label_with_percentage(row), 'value': float(row[-1]['html'][:-1]) } for row in rows[1:]]) elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)): chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 120 if isinstance(data_provider, ImmunizationOverview): chart.stacked = True chart.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': float(row[3]['html'][:-1]) / 100 } for row in rows], color='green') chart.add_dataset('Dropout Percentage', [{ 'x': row[0]['html'], 'y': float(row[-1]['html'][:-1]) / 100 } for row in rows], color='red') else: chart.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': float(row[-1]['html'][:-1]) / 100 } for row in rows]) elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended): chart1 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart2 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%')) chart1.rotateLabels = -45 chart2.rotateLabels = -45 chart1.marginBottom = 120 chart2.marginBottom = 120 chart1.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': float(row[-1]['html'][:-1]) / 100 } for row in rows[1:6]]) chart2.add_dataset('Percentage', [{ 'x': row[0]['html'], 'y': float(row[-1]['html'][:-1]) / 100 } for row in rows[6:12]]) return [chart1, chart2] elif isinstance(data_provider, ChildrenDeathsByMonth): chart = LineChart('Seasonal Variation of Child Deaths', x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, '.2%')) chart.rotateLabels = -45 chart.marginBottom = 120 months_mapping = dict( (v, k) for k, v in enumerate(calendar.month_abbr)) chart.add_dataset( 'Percentage', [{ 'x': datetime.date(1, months_mapping[row[0][:3]], 1), 'y': float(row[-1]['html'][:-1]) / 100 } for row in rows]) else: chart = PieChart('', '', [{ 'label': "%s [%s%%]" % (row[0]['html'], str(float(row[-1]['html'][:-1]))), 'value': float(row[-1]['html'][:-1]) } for row in rows]) return [chart]