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Use time scale when index has type 'date' or 'datetime' #152

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3 changes: 2 additions & 1 deletion .travis.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,10 @@ python:
- "2.7"
- "3.4"
before_install:
- sudo apt-get update
- sudo apt-get install -qq gfortran libatlas-base-dev python-numpy
install:
- pip install ipython mock pandas flake8 --use-mirrors
- pip install ipython mock pandas flake8 jinja2 --use-mirrors
script:
- flake8 --exclude=colors.py,_compat.py vincent tests
- nosetests
16 changes: 8 additions & 8 deletions examples/stacked_area_examples.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,31 +22,31 @@

data = Data.from_pandas(price)
vis.data['table'] = data
facets = Transform(type='facet', keys=['data.idx'])
stats = Transform(type='stats', value='data.val')
facets = Transform(type='facet', groupby=['idx'])
stats = Transform(type='aggregate', value='val')
stat_dat = Data(name='stats', source='table', transform=[facets, stats])
vis.data['stats'] = stat_dat


vis.scales['x'] = Scale(name='x', type='time', range='width',
domain=DataRef(data='table', field="data.idx"))
domain=DataRef(data='table', field="idx"))
vis.scales['y'] = Scale(name='y', range='height', type='linear', nice=True,
domain=DataRef(data='stats', field="sum"))
vis.scales['color'] = Scale(name='color', type='ordinal',
domain=DataRef(data='table', field='data.col'),
domain=DataRef(data='table', field='col'),
range='category20')
vis.axes.extend([Axis(type='x', scale='x'),
Axis(type='y', scale='y')])


facet = Transform(type='facet', keys=['data.col'])
stack = Transform(type='stack', point='data.idx', height='data.val')
facet = Transform(type='facet', groupby=['col'])
stack = Transform(type='stack', point='idx', height='val')
transform = MarkRef(data='table',transform=[facet, stack])
enter_props = PropertySet(x=ValueRef(scale='x', field="data.idx"),
enter_props = PropertySet(x=ValueRef(scale='x', field="idx"),
y=ValueRef(scale='y', field="y"),
interpolate=ValueRef(value='monotone'),
y2=ValueRef(field='y2', scale='y'),
fill=ValueRef(scale='color', field='data.col'))
fill=ValueRef(scale='color', field='col'))
mark = Mark(type='group', from_=transform,
marks=[Mark(type='area',
properties=MarkProperties(enter=enter_props))])
Expand Down
16 changes: 8 additions & 8 deletions examples/stacked_bar_examples.py
Original file line number Diff line number Diff line change
Expand Up @@ -27,31 +27,31 @@

data = Data.from_pandas(df)
vis.data['table'] = data
facets = Transform(type='facet', keys=['data.idx'])
stats = Transform(type='stats', value='data.val')
facets = Transform(type='facet', groupby=['idx'])
stats = Transform(type='aggregate', value='val')
stat_dat = Data(name='stats', source='table', transform=[facets, stats])
vis.data['stats'] = stat_dat


vis.scales['x'] = Scale(name='x', type='ordinal', range='width',
domain=DataRef(data='table', field="data.idx"))
domain=DataRef(data='table', field="idx"))
vis.scales['y'] = Scale(name='y', range='height', type='linear', nice=True,
domain=DataRef(data='stats', field="sum"))
vis.scales['color'] = Scale(name='color', type='ordinal',
domain=DataRef(data='table', field='data.col'),
domain=DataRef(data='table', field='col'),
range='category20')
vis.axes.extend([Axis(type='x', scale='x'),
Axis(type='y', scale='y')])


facet = Transform(type='facet', keys=['data.col'])
stack = Transform(type='stack', point='data.idx', height='data.val')
facet = Transform(type='facet', groupby=['col'])
stack = Transform(type='stack', point='idx', height='val')
transform = MarkRef(data='table',transform=[facet, stack])
enter_props = PropertySet(x=ValueRef(scale='x', field="data.idx"),
enter_props = PropertySet(x=ValueRef(scale='x', field="idx"),
y=ValueRef(scale='y', field="y"),
width=ValueRef(scale='x', band=True, offset=-1),
y2=ValueRef(field='y2', scale='y'),
fill=ValueRef(scale='color', field='data.col'))
fill=ValueRef(scale='color', field='col'))
mark = Mark(type='group', from_=transform,
marks=[Mark(type='rect',
properties=MarkProperties(enter=enter_props))])
Expand Down
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