def test_params(self):
#Test params
chart = bearcart.Chart(width=500, height=1000, plt_type='area')
assert chart.height == 1000
assert chart.width == 500
assert chart.renderer == 'area'
#Test component removal
chart = bearcart.Chart(x_axis=False, legend=False)
nt.assert_list_equal(chart.template_vars.keys(),
['y_axis', 'hover', 'slider'])
def test_build_graph(self):
'''Test graph build'''
series = self.price['AAPL']
chart = bearcart.Chart(series)
chart._build_graph()
vars = {
'dataset': [{
'name': 'AAPL',
'color': 'palette.color()',
'data': 'json[0].data',
}],
'width':
750,
'height':
400,
'render':
'line',
'min':
"min: 'auto',"
}
graph_templ = self.templates.get_template('graph.js')
graph = graph_templ.render(vars)
assert chart.colors == {'AAPL': 'palette.color()'}
assert chart.template_vars['graph'] == graph
def test_non_timeseries(self):
tabular_data = [random.randint(10, 100) for x in range(0, 25, 1)]
df = pd.DataFrame({'Data 1': tabular_data})
chart = bearcart.Chart(df, x_time=False)
nt.assert_in('x_axis_num', chart.template_vars)
nt.assert_in('xFormatter: function(x)'
'{return Math.floor(x / 10) * 10}\n}',
chart.template_vars['hover'])
def test_data(self):
#Test data
series = self.price['AAPL']
chart = bearcart.Chart(series)
assert_almost_equal(chart.raw_data, series)
assert chart.json_data[0]['name'] == 'AAPL'
assert len(series) == len(chart.json_data[0]['data'])
nt.eq_(time.mktime(series.index[0].timetuple()),
chart.json_data[0]['data'][0]['x'])
def test_init(self):
'''Test bearcart chart creation'''
#Test defaults
chart = bearcart.Chart()
assert chart.height == 400
assert chart.width == 750
assert chart.renderer == 'line'
temps = {
x.split('.')[0]: x.split('.')[1]
for x in self.templates.list_templates()
}
for key, value in chart.template_vars.iteritems():
template = self.templates.get_template('.'.join([key, temps[key]]))
assert value == template.render()
def test_build_graph(self):
series = self.price['AAPL']
chart = bearcart.Chart(series)
chart._build_graph()
vars = {'dataset': [{'name': 'AAPL', 'color': 'palette.color()',
'data': 'json[0].data', }],
'width': 750, 'height': 400, 'render': 'line',
'min': "min: 'auto',", "chart_id": chart.chart_id}
graph_templ = self.templates.get_template('graph.js')
graph = graph_templ.render(vars)
self.assertDictEqual(chart.colors, {'AAPL': 'palette.color()'})
self.assertEqual(chart.template_vars['graph'], graph)
def test_init(self):
#Test defaults
chart = bearcart.Chart(colors={'Data 1': '#25aeb0'})
self.assertEqual(chart.height, 400)
self.assertEqual(chart.width, 750)
self.assertEqual(chart.renderer, 'line')
self.assertDictEqual(chart.colors, {'Data 1': "'#25aeb0'"})
temps = {x.split('.')[0]: x.split('.')[1]
for x in self.templates.list_templates()}
for key, value in chart.template_vars.iteritems():
template = self.templates.get_template('.'.join([key, temps[key]]))
kwargs = {
'height': 400,
'y_axis_id': chart.y_axis_id,
'legend_id': chart.legend_id,
'slider_id': chart.slider_id
}
self.assertEqual(value, template.render(kwargs))
html_path = r'index.html'
data_path = r'data.json'
js_path = 'rickshaw.min.js'
css_path = 'rickshaw.min.css'
tabular_data_1 = [random.randint(10, 100) for x in range(0, 25, 1)]
tabular_data_2 = [random.randint(10, 100) for x in range(0, 25, 1)]
tabular_data_3 = [random.randint(10, 100) for x in range(0, 25, 1)]
df = pd.DataFrame({
'Data 1': tabular_data_1,
'Data 2': tabular_data_2,
'Data 3': tabular_data_3
})
vis = bearcart.Chart(df, x_time=False)
vis.create_chart(html_path=html_path,
data_path=data_path,
js_path=js_path,
css_path=css_path)
#Bunch of data, area chart
vis = bearcart.Chart(df, x_time=False, plt_type='area')
vis.create_chart(html_path=html_path,
data_path=data_path,
js_path=js_path,
css_path=css_path)
#Bunch of data, bar chart
vis = bearcart.Chart(df, x_time=False, plt_type='bar')
vis.create_chart(html_path=html_path,
import pandas.io.data as web
all_data = {}
for ticker in ['AAPL', 'GOOG', 'XOM', 'MSFT', 'INTC', 'YHOO']:
all_data[ticker] = web.get_data_yahoo(ticker, '1/1/2012', '1/1/2013')
price = pd.DataFrame(
{tic: data['Adj Close']
for tic, data in all_data.iteritems()})
#Two data, line chart
df = pd.concat([price['AAPL'], price['GOOG']], axis=1)
vis = bearcart.Chart(df)
vis.create_chart(html_path=html_path,
data_path=data_path,
js_path=js_path,
css_path=css_path)
#Bunch of data, area chart
vis = bearcart.Chart(price, plt_type='area')
vis.create_chart(html_path=html_path,
data_path=data_path,
js_path=js_path,
css_path=css_path)
#Two data, custom colors, scatterplot
vis = bearcart.Chart(df,
plt_type='scatterplot',
