def test_plotly_static(self):
"""Should create a static Plotly plot"""
trace = dict(type='scatter', x=[1, 2, 3, 4, 5], y=[1, 2, 3, 4, 5])
result = render.plotly([trace], {}, static=True)
self.assertLess(0, result.index('"staticPlot": true'))
def test_plotly_static(self):
"""Should create a static Plotly plot"""
trace = dict(
type='scatter',
x=[1,2,3,4,5],
y=[1,2,3,4,5]
)
result = render.plotly([trace], {}, static=True)
self.assertLess(0, result.index('"staticPlot": true'))
def test_plotly_import_error(self):
""" should fail if unable to import with plotly """
real_import = builtins.__import__
def fake_import(*args, **kwargs):
if args and args[0] == 'plotly':
raise ImportError('Fake Error')
return real_import(*args, **kwargs)
with patch('builtins.__import__') as import_func:
import_func.side_effect = fake_import
result = render.plotly([], {})
self.assertGreater(result.find('cd-ImportError'), 0)
def test_plotly_import_error(self):
"""Should fail if unable to import with plotly"""
real_import = builtins.__import__
def fake_import(*args, **kwargs):
if args and args[0] == 'plotly':
raise ImportError('Fake Error')
return real_import(*args, **kwargs)
with patch('builtins.__import__') as import_func:
import_func.side_effect = fake_import
result = render.plotly([], {})
self.assertGreater(result.find('cd-ImportError'), 0)
def plotly(
data: typing.Union[dict, list] = None,
layout: dict = None,
scale: float = 0.5,
figure: dict = None,
static: bool = False
):
"""
Creates a Plotly plot in the display with the specified data and
layout.
:param data:
The Plotly trace data to be plotted.
:param layout:
The layout data used for the plot.
:param scale:
The display scale with units of fractional screen height. A value
of 0.5 constrains the output to a maximum height equal to half the
height of browser window when viewed. Values below 1.0 are usually
recommended so the entire output can be viewed without scrolling.
:param figure:
In cases where you need to create a figure instead of separate data
and layout information, you can pass the figure here and leave the
data and layout values as None.
:param static:
If true, the plot will be created without interactivity.
This is useful if you have a lot of plots in your notebook.
"""
r = _get_report()
if not figure and not isinstance(data, (list, tuple)):
data = [data]
if 'plotly' not in r.library_includes:
r.library_includes.append('plotly')
r.append_body(render.plotly(
data=data,
layout=layout,
scale=scale,
figure=figure,
static=static
))
r.stdout_interceptor.write_source('[ADDED] Plotly plot\n')
def plotly(
data: typing.Union[dict, list] = None,
layout: dict = None,
scale: float = 0.5,
figure: dict = None,
static: bool = False
):
"""
Creates a Plotly plot in the display with the specified data and layout
:param data:
The Plotly trace data to be plotted
:param layout:
The layout data used for the plot
:param scale:
The display scale with units of fractional screen height. A value
of 0.5 constrains the output to a maximum height equal to half the
height of browser window when viewed. Values below 1.0 are usually
recommended so the entire output can be viewed without scrolling.
:param figure:
In cases where you need to create a figure instead of separate data
and layout information, you can pass the figure here and leave the
data and layout values as None.
:param static:
If true, the plot will be created without interactivity.
This is useful if you have a lot of plots in your notebook.
"""
r = _get_report()
if not figure and not isinstance(data, (list, tuple)):
data = [data]
if 'plotly' not in r.library_includes:
r.library_includes.append('plotly')
r.append_body(render.plotly(
data=data,
layout=layout,
scale=scale,
figure=figure,
static=static
))