def to_svg(self, path=None, width=None, height=None):
"""
Render the lattice to an SVG.
See :class:`.Grid` for additional documentation.
"""
if not self._scales[X]:
self._scales[X] = Scale.infer(self._series, X, self._types[X])
if not self._scales[Y]:
self._scales[Y] = Scale.infer(self._series, Y, self._types[Y])
if not self._axes[X]:
self._axes[X] = Axis()
if not self._axes[Y]:
self._axes[Y] = Axis()
grid = Grid()
for i, series in enumerate(self._series):
chart = Chart(title=series._name)
chart.set_x_scale(self._scales[X])
chart.set_y_scale(self._scales[Y])
chart.set_x_axis(self._axes[X])
chart.set_y_axis(self._axes[Y])
chart.add_series(series)
grid.add_one(chart)
return grid.to_svg(path, width, height)
def _validate_dimension(self, dimension):
"""
Validates that the given scale and axis are valid for the data that
has been added to this chart. If a scale or axis has not been set,
generates automated ones.
"""
scale = self._scales[dimension]
axis = self._axes[dimension]
if not scale:
scale = Scale.infer(self._layers, dimension,
self._types[dimension])
else:
for series, shape in self._layers:
if not scale.contains(
series.min(dimension)) or not scale.contains(
series.max(dimension)):
d = DIMENSION_NAMES[dimension]
warn(
'Data contains values outside %s scale domain. All data points may not be visible on the chart.'
% d)
# Only display once per axis
break
if not axis:
axis = Axis()
return (scale, axis)
def add_x_axis(self, ticks=None, tick_values=None, tick_formatter=None, name=None):
"""
Create and add an X :class:`.Axis`.
If you want to set a custom axis class use :meth:`.set_x_axis` instead.
"""
self._axes[X] = Axis(ticks, tick_values, tick_formatter, name)
def add_y_axis(self, ticks=None, tick_formatter=None, name=None):
"""
See :meth:`.Lattice.add_x_axis`.
"""
self._axes[Y] = Axis(ticks=ticks,
tick_formatter=tick_formatter,
name=name)
def _validate_dimension(self, dimension):
"""
Validates that the given scale and axis are valid for the data that
has been added to this chart. If a scale or axis has not been set,
generates automated ones.
"""
scale = self._scales[dimension]
axis = self._axes[dimension]
if not scale:
scale = Scale.infer(self._layers, dimension, self._types[dimension])
else:
scale = scale
if not axis:
axis = Axis()
return (scale, axis)
