def plot(self):
"""
Returns a hvPlot object to provide a high-level plotting API.
To display in a notebook, be sure to run ``intake.output_notebook()``
first.
Adapted from the original code to be able to plot the data
stored in the twiss table files.
"""
try:
from hvplot import hvPlot
except ImportError:
raise ImportError(
"The intake plotting API requires hvplot."
"hvplot may be installed with:\n\n"
"`conda install -c pyviz hvplot` or "
"`pip install hvplot`."
)
metadata = self.metadata.get("plot", {})
# print("hvplot meta", metadata)
# fields = self.metadata.get("fields", {})
# print("hv fields", fields)
# for attrs in fields.values():
# if 'range' in attrs:
# attrs['range'] = tuple(attrs['range'])
# metadata['fields'] = fields
plots = self.metadata.get("plots", {})
self._load_metadata()
# print(hvPlot(self.twiss, custom_plots=plots, **metadata))
return hvPlot(self.twiss, custom_plots=plots, **metadata)
def test_define_customize_method(self):
hvplot = hvPlot(self.df, {'scatter': {'width': 42, 'height': 42}})
custom_scatter = hvplot.scatter(y='y')
curve = hvplot.line(y='y')
custom_opts = Store.lookup_options('bokeh', custom_scatter, 'plot')
opts = Store.lookup_options('bokeh', curve, 'plot')
self.assertEqual(custom_opts.options.get('width'), 42)
self.assertEqual(custom_opts.options.get('height'), 42)
self.assertNotEqual(opts.options.get('width'), 42)
self.assertNotEqual(opts.options.get('height'), 42)
def plot(self):
"""
Shamelessly copied from the amazing Intake package and modified slightly.
Returns a hvPlot object to provide a high-level plotting API. Will use Dask
if available, reading parralelism is set by page size and then data is repartitioned by number
of cpus available. small collections are pre-read and converted to regular pandas dataframe.
To display in a notebook, be sure to run ``panel_eve.output_notebook()``
first.
"""
if not self.is_tabular:
raise TypeError(
"Plotting API currently only supports tabular data.")
if self._plot is None:
try:
from hvplot import hvPlot
except ImportError:
raise ImportError("The eve_panel plotting API requires hvplot."
"hvplot may be installed with:\n\n"
"`conda install -c pyviz hvplot` or "
"`pip install hvplot`.")
nitems = self.nitems
if nitems < self.items_per_page:
data = self.df
else:
try:
import dask
persist = (nitems / self.items_per_page) < mp.cpu_count()
data = self.to_dask(persist=persist)
data = data.repartition(
npartitions=min(data.npartitions, mp.cpu_count()))
if persist and nitems < 1e4:
data = data.compute()
except ImportError:
data = self.df
metadata = self.metadata.get('plot', {})
fields = self.metadata.get('fields', {})
for attrs in fields.values():
if 'range' in attrs:
attrs['range'] = tuple(attrs['range'])
metadata['fields'] = fields
plots = self.metadata.get('plots', {})
self._plot = hvPlot(data, custom_plots=plots, **metadata)
return self._plot
def draw(self, *args):
"""Recreate the plot with current arguments
Called by "Plot" button
"""
kwargs = self.control.kwargs
kwargs['kind'] = self.method.value
self.kwtext.object = pretty_describe(kwargs)
data = self.control.sample.sample_data(self.data)
self._plot = hvPlot(data)(**kwargs)
self.output[0] = pn.Row(*pn.pane.HoloViews(self._plot), name='Plot')
fig = list(self.output[0][0]._models.values())[0][0]
try:
xrange = fig.x_range.start, fig.x_range.end
yrange = fig.y_range.start, fig.y_range.end
self.control.set_ranges(xrange, yrange)
except AttributeError:
# some plots (e.g., Table) don't have ranges
pass
def plot(self):
"""
Returns a hvPlot object to provide a high-level plotting API.
To display in a notebook, be sure to run ``intake.output_notebook()``
first.
"""
try:
from hvplot import hvPlot
except ImportError:
raise ImportError("The intake plotting API requires hvplot."
"hvplot may be installed with:\n\n"
"`conda install -c pyviz hvplot` or "
"`pip install hvplot`.")
metadata = self.metadata.get('plot', {})
fields = self.metadata.get('fields', {})
for attrs in fields.values():
if 'range' in attrs:
attrs['range'] = tuple(attrs['range'])
metadata['fields'] = fields
plots = self.metadata.get('plots', {})
return hvPlot(self, custom_plots=plots, **metadata)
def draw(self, *args):
kwargs = self.control.kwargs
kwargs['kind'] = self.method.value
print(kwargs)
self._plot = hvPlot(self.data)(**kwargs)
self.output[0] = pn.pane.HoloViews(self._plot)
def test_attempt_to_override_kind_on_method(self):
hvplot = hvPlot(self.df, {'scatter': {'kind': 'line'}})
self.assertIsInstance(hvplot.scatter(y='y'), Scatter)
def test_define_default_options(self):
hvplot = hvPlot(self.df, width=42, height=42)
curve = hvplot(y='y')
opts = Store.lookup_options('bokeh', curve, 'plot')
self.assertEqual(opts.options.get('width'), 42)
self.assertEqual(opts.options.get('height'), 42)
