How to use test_line_chart method in SeleniumBase
Best Python code snippet using SeleniumBase
tests.py
Source:tests.py 
...217 self.assertEqual(json.dumps(default), chart.get_options_json())218 self.assertEqual(self.series_objects, chart.get_series_objects())219 self.assertEqual(json.dumps(self.series_objects),220 chart.get_series_objects_json())221 def test_line_chart(self):222 chart = flot.LineChart(data_source=self.data_source,223 options=self.options)224 empty_options_chart = flot.LineChart(data_source=self.data_source,225 options={})226 json_data = chart.get_serieses()227 self.assertEqual([self.series_1, self.series_2], json_data)228 default = get_default_options("lines")229 self.assertEqual(default,230 empty_options_chart.get_options())231 default.update(self.options)232 self.assertEqual(default,233 chart.get_options())234 def test_bar_chart(self):235 chart = flot.BarChart(data_source=self.data_source,236 options=self.options)237 empty_options_chart = flot.BarChart(data_source=self.data_source,238 options={})239 json_data = chart.get_serieses()240 self.assertEqual([self.series_1, self.series_2], json_data)241 default = get_default_options("bars")242 self.assertEqual(default,243 empty_options_chart.get_options())244 default.update(self.options)245 self.assertEqual(default,246 chart.get_options())247 def test_point_chart(self):248 chart = flot.PointChart(data_source=self.data_source,249 options=self.options)250 empty_options_chart = flot.PointChart(data_source=self.data_source,251 options={})252 json_data = chart.get_serieses()253 self.assertEqual([self.series_1, self.series_2], json_data)254 default = get_default_options("points")255 self.assertEqual(default,256 empty_options_chart.get_options())257 default.update(self.options)258 self.assertEqual(default,259 chart.get_options())260class TestGchartRenderer(TestCase):261 def setUp(self):262 data = [263 ['Year', 'Sales', 'Expenses'],264 [2004, 1000, 400],265 [2005, 1170, 460],266 [2006, 660, 1120],267 [2007, 1030, 540]268 ]269 self.data_source = SimpleDataSource(data)270 self.data = data271 def test_line_chart(self):272 chart = gchart.LineChart(data_source=self.data_source)273 self.assertNotEqual(chart.as_html(), "")274 self.assertTrue("LineChart" in chart.as_html())275 def test_column_chart(self):276 chart = gchart.ColumnChart(data_source=self.data_source)277 self.assertNotEqual(chart.as_html(), "")278 self.assertTrue("Column" in chart.as_html())279 def test_bar_chart(self):280 chart = gchart.BarChart(data_source=self.data_source)281 self.assertNotEqual(chart.as_html(), "")282 self.assertTrue("BarChart" in chart.as_html())283 def test_candlestick_chart(self):284 chart = gchart.CandlestickChart(data_source=self.data_source)285 self.assertNotEqual(chart.as_html(), "")286 self.assertTrue("CandlestickChart" in chart.as_html())287 def test_gauge_chart(self):288 chart = gchart.GaugeChart(data_source=self.data_source)289 self.assertNotEqual(chart.as_html(), "")290 self.assertTrue("Gauge" in chart.as_html())291class TestYUIRenderer(TestCase):292 def setUp(self):293 data = [294 ['Year', 'Sales', 'Expenses'],295 [2004, 1000, 400],296 [2005, 1170, 460],297 [2006, 660, 1120],298 [2007, 1030, 540]299 ]300 self.data_source = SimpleDataSource(data)301 self.data = data302 def test_line_chart(self):303 chart = yui.LineChart(data_source=self.data_source)304 self.assertNotEqual(chart.as_html(), "")305 self.assertTrue("line" in chart.as_html())306class TestMatplotlibRenderer(TestCase):307 def setUp(self):308 data = [['Year', 'Sales', 'Expenses', 'Items Sold', 'Net Profit'],309 ['2004', 1000, 400, 100, 600],310 ['2005', 1170, 460, 120, 310],311 ['2006', 660, 1120, 50, -460],312 ['2007', 1030, 540, 100, 200]]313 self.data_source = SimpleDataSource(data)314 self.data = data315 def test_line_chart(self):316 chart = matplotlib_renderer.LineChart(self.data_source)317 self.assertNotEqual(chart.as_html(), "")318 def test_bar_chart(self):319 chart = matplotlib_renderer.BarChart(self.data_source)...
test_datawrapper.py
Source:test_datawrapper.py
1"""Tests chart generation with Datawrapper.2Note that these tests are primarily "visual". Check test/rendered_charts folder3that the generated charts look as expected.4"""5from newsworthycharts import DatawrapperChart6from newsworthycharts.storage import LocalStorage7import os8from copy import deepcopy9from dotenv import load_dotenv10load_dotenv()11# store test charts to this folder for visual verfication12OUTPUT_DIR = "test/rendered_charts"13local_storage = LocalStorage(OUTPUT_DIR)14try:15 DATAWRAPPER_API_KEY = os.environ["DATAWRAPPER_API_KEY"]16except KeyError:17 raise Exception("A 'DATAWRAPPER_API_KEY' must be set to run these test. "18 "Get it here: https://app.datawrapper.de/account/api-tokens")19TEST_LINE_CHART = {20 "width": 800,21 "height": 0, # 0 for auto height22 "title": "Here is a title from chart obj",23 "data": [24 [25 ["2016-01-01", -2],26 ["2017-01-01", 5],27 ["2018-01-01", 2],28 ["2019-01-01", 2]29 ],30 [31 ["2016-01-01", -4],32 ["2017-01-01", 4],33 ["2018-01-01", 1],34 ["2019-01-01", -1]35 ]36 ],37 "labels": [38 u"LuleÃ¥",39 u"Happaranda",40 ],41 "caption": "Ministry of stats",42 "dw_data": {43 "type": "d3-lines",44 "metadata": {45 "describe": {46 "byline": "Newsworthy"47 }48 }49 },50}51def test_basic_chart():52 chart_obj = deepcopy(TEST_LINE_CHART)53 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,54 language="sv-SE")55 c.render_all("dw_chart_basic")56def test_chart_with_highlight():57 chart_obj = deepcopy(TEST_LINE_CHART)58 chart_obj["highlight"] = "LuleÃ¥"59 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,60 language="sv-SE")61 c.render_all("dw_chart_with_highlight")62def test_line_chart_with_pct():63 chart_obj = deepcopy(TEST_LINE_CHART)64 chart_obj["units"] = "percent"65 chart_obj["decimals"] = 166 chart_obj["data"] = [67 [68 ["2016-01-01", -.211],69 ["2017-01-01", .536],70 ["2018-01-01", .213],71 ["2019-01-01", .221]72 ],73 [74 ["2016-01-01", -.431],75 ["2017-01-01", None],76 ["2018-01-01", .118],77 ["2019-01-01", -.136]78 ]79 ]80 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,81 language="sv-SE")82 c.render_all("dw_line_chart_with_pct")83def test_vertical_bar_chart_with_highlight():84 chart_obj = deepcopy(TEST_LINE_CHART)85 chart_obj["data"] = [86 [87 ["2016-01-01", -2],88 ["2017-01-01", 5],89 ["2018-01-01", 2],90 ["2019-01-01", 2]91 ],92 ]93 chart_obj["labels"] = ["LuleÃ¥"]94 chart_obj["highlight"] = "2019-01-01"95 chart_obj["dw_data"]["type"] = "column-chart"96 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,97 language="sv-SE")98 c.render_all("dw_vertical_bar_chart_with_highlight")99def test_horizontal_bar_chart_with_highlight():100 chart_obj = deepcopy(TEST_LINE_CHART)101 chart_obj["data"] = [102 [103 ["Solna", -.221],104 ["Stockholm", .523],105 ["Sundbyberg", .212],106 ],107 ]108 chart_obj["units"] = "percent"109 chart_obj["labels"] = ["Förändring (%)"]110 chart_obj["highlight"] = "Stockholm"111 chart_obj["dw_data"]["type"] = "d3-bars"112 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,113 language="sv-SE")114 c.render_all("dw_horizontal_bar_chart_with_highlight")115def test_table():116 chart_obj = {117 "width": 600,118 "height": 0,119 "title": "NÃ¥gra svenska städer jag gillar",120 "labels": ["Kommun", "Värde", "Kategori"],121 "data": [122 {123 "region": "Göteborg",124 "value": 1.1,125 "category": "Västkust",126 },127 {128 "region": "Stockholm",129 "value": 2.1,130 "category": "Ãstkust",131 },132 ],133 "dw_data": {134 "type": "tables",135 }136 }137 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,138 language="sv-SE")139 c.render_all("dw_table")140def test_choropleth_map():141 chart_obj = {142 "width": 400,143 "height": 500,144 "title": "Här är en karta",145 "data": [146 {147 "region": "Västra Götalands län",148 "value": 1.1,149 },150 {151 "region": "Stockholms län",152 "value": 2.1,153 },154 {155 "region": "SkÃ¥ne län",156 "value": 3.1,157 },158 {159 "region": "Ãrebro län",160 "value": 6.2,161 }162 ],163 "dw_data": {164 "type": "d3-maps-choropleth",165 "metadata": {166 "axes": {167 "keys": "region",168 "values": "value"169 },170 "visualize": {171 "basemap": "sweden-counties"172 }173 }174 }175 }176 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,177 language="sv-SE")178 c.render_all("dw_map_choropleth")179def test_pie_chart():180 metadata = {181 'data': {182 'transpose': False,183 'vertical-header': True,184 'horizontal-header': True185 },186 'publish': {187 'embed-width': 600,188 'chart-height': 330,189 'embed-height': 415190 },191 'annotate': {'notes': ''},192 'describe': {193 'intro': '',194 'byline': '',195 'source-url': '',196 'source-name': '',197 'number-append': '',198 'number-format': '-',199 'number-divisor': 0,200 'number-prepend': '',201 },202 'visualize': {203 'group': {'text': 'Other', 'num_slices': 5},204 'x-grid': 'off',205 'y-grid': 'on',206 'scale-y': 'linear',207 'labeling': 'right',208 'pie_size': {'inside_labels': 75, 'outside_labels': 50},209 'color_key': {210 'stack': False,211 'enabled': False,212 'position': 'top',213 'label_values': False,214 },215 'base-color': 0,216 'base_color': 0,217 'fill-below': False,218 'line-dashes': [],219 'line-widths': [],220 'slice_order': 'descending',221 'fill-between': False,222 'label-colors': False,223 'label-margin': 0,224 'line-symbols': False,225 'show_percent': False,226 'custom-colors': {227 'Möjligen bokningsbara': 6,228 'Bekfräftat tillgängliga': 5,229 },230 'inside_labels': {'enabled': False},231 'interpolation': 'linear',232 'show-tooltips': True,233 'x-tick-format': 'YYYY',234 'y-grid-format': '0,0.[00]',235 'y-grid-labels': 'auto',236 'chart-type-set': True,237 'custom-range-x': ['', ''],238 'custom-range-y': ['', ''],239 'custom-ticks-x': '',240 'custom-ticks-y': '',241 'outside_labels': {'edge': False, 'color': False, 'enabled': True},242 'rotation_angle': 0,243 'connector-lines': True,244 'donut_hole_size': 50,245 'line-symbols-on': 'both',246 'small_multiples': {247 'group_value_label': {248 'type': 'total',249 'enabled': False,250 'total_text': 'Total',251 'single_selected_row': 0,252 },253 'min_col_grid_width': 120,254 },255 'y-grid-subdivide': True,256 'custom-area-fills': [],257 'label_text_slices': True,258 'line-symbols-size': 3.5,259 'line-value-labels': False,260 'donut_center_label': {261 'type': 'total',262 'enabled': False,263 'total_text': 'Total',264 'custom_text': '',265 'single_selected_row': 0,266 },267 'highlighted-series': [],268 'highlighted-values': [],269 'line-symbols-shape': 'circle',270 'value-label-format': '0,0.[00]',271 'y-grid-label-align': 'left',272 'label_values_slices': True,273 'line-symbols-opacity': 1,274 'area-fill-color-below': '#cccccc',275 'tooltip-number-format': '0,0.[00]',276 'area-fill-color-between': '#cccccc',277 'line-symbols-shape-multiple': []278 },279 'json_error': None,280 }281 chart_obj = {282 "data": [283 {284 "key": 'Möjligen bokningsbara',285 "value": 35,286 },287 {288 "key": 'Bekfräftat tillgängliga',289 "value": 65290 }291 ],292 "width": 400,293 "height": 300,294 "dw_data": {295 "type": 'd3-donuts',296 "metadata": metadata,297 }298 }299 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,300 language="sv-SE")301 c.render("dw_pie1", "png")302def test_pie_chart2():303 chart_obj = {304 'width': 380, 'height': 250,305 'format': 'png',306 'theme': 'newsworthy',307 'lang': 'sv',308 'overwrite': False,309 'chart_engine': 'DatawrapperChart',310 'data': [311 {312 'key': 'Möjligen boknings- bara',313 'value': 0.7186602152835304314 }, {315 'key': 'Tillgängliga', 'value': 0.2813397847164696316 }317 ],318 'datatype': None,319 'decimals': 0,320 'dw_data': {321 'metadata': {322 'visualize': {323 'custom-colors': {324 'Möjligen boknings- bara': '#cdcdcd',325 'Tillgängliga': '#5aa69d',326 },327 'donut_hole_size': 50,328 'inside_labels': {'enabled': False},329 'line-symbols-size': 6.5,330 'outside_labels': {331 'color': False,332 'edge': False,333 'enabled': True,334 },335 'pie_size': {336 'inside_labels': 75,337 'outside_labels': 50,338 },339 'slice_order': 'original',340 'value-label-format': '0%',341 }342 },343 'type': 'd3-donuts'344 },345 'labels': [],346 'measures': [],347 'periodicity':348 'yearly',349 'series': [],350 'source': None,351 'type': 'bars',352 'units': 'percent',353 'title': None,354 'key': '2837248355',355 'language': 'sv',356 'style': 'newsworthy',357 'primary_color': '#5aa69d',358 'size': 'normal',359 'bar_orientation':360 'horizontal',361 'show_category_ticks': True,362 'ymin': 0,363 'ticks': 'yearly',364 'highlight_change': False365 }366 c = DatawrapperChart.init_from(chart_obj, storage=local_storage,367 language="sv-SE")...
test_urls.py
Source:test_urls.py
1from django.test import TestCase as DJTest2from django.urls import reverse3class TestUrls(DJTest):4 def test_line_chart(self):5 print(reverse("prisjakt:test_line_chart"))6 self.assertEqual(reverse("prisjakt:test_line_chart"), "/prisjakt/line_chart")7 def test_scatter_plot(self):8 print(reverse("prisjakt:test_scatter_plot"))9 self.assertEqual(10 reverse("prisjakt:test_scatter_plot"), "/prisjakt/scatter_plot"...
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