def wrapper(dataset, *args, **kwargs):
if dataset.ndim < 2:
from spectrochempy.core.plotters.plot1d import plot_1D
_ = kwargs.pop("method", None)
return plot_1D(dataset, *args, method=method, **kwargs)
if kwargs.get("use_plotly", False):
return dataset.plotly(method=method, **kwargs)
else:
return getattr(dataset, f"plot_{type}")(*args,
method=method,
**kwargs)
def plot_image(dataset, **kwargs):
"""
Plot a 2D dataset as an image plot.
Alias of plot_2D (with `method` argument set to ``image``).
"""
if dataset.ndim < 2:
from spectrochempy.core.plotters.plot1d import plot_1D
return plot_1D(dataset, **kwargs)
kwargs['method'] = 'image'
if kwargs.get('use_plotly', False):
return dataset.plotly(**kwargs)
else:
return plot_2D(dataset, **kwargs)
def plot_map(dataset, **kwargs):
"""
Plot a 2D dataset as a contoured map.
Alias of plot_2D (with `method` argument set to ``map``.
"""
if dataset.ndim < 2:
from spectrochempy.core.plotters.plot1d import plot_1D
return plot_1D(dataset, **kwargs)
kwargs['method'] = 'map'
if kwargs.get('use_plotly', False):
return dataset.plotly(**kwargs)
else:
return plot_2D(dataset, **kwargs)
def plot_waterfall(dataset, **kwargs):
"""
Plot a 2D dataset as a a 3D-waterfall plot.
Alias of plot_2D (with `method` argument set to ``waterfall``.
"""
if dataset.ndim < 2:
from spectrochempy.core.plotters.plot1d import plot_1D
return plot_1D(dataset, **kwargs)
kwargs['method'] = 'waterfall'
if kwargs.get('use_plotly', False):
return dataset.plotly(**kwargs)
else:
return plot_2D(dataset, **kwargs)
def _plot_generic(self, **kwargs):
if self._squeeze_ndim == 1:
ax = plot_1D(self, **kwargs)
elif self._squeeze_ndim == 2:
ax = plot_2D(self, **kwargs)
elif self._squeeze_ndim == 3:
ax = plot_3D(self, **kwargs)
else:
error_("Cannot guess an adequate plotter, nothing done!")
return False
return ax
def plot_generic(self, **kwargs):
"""
The generic plotter.
It try to guess an adequate basic plot for the data. Other method of plotters are defined explicitely in the
``plotters`` package.
Parameters
----------
ax : :class:`matplotlib.axe`
the viewplot where to plot.
kwargs : optional additional arguments
Returns
-------
ax
Return the handler to ax where the main plot was done
"""
if self._squeeze_ndim == 1:
ax = plot_1D(self, **kwargs)
elif self._squeeze_ndim == 2:
ax = plot_2D(self, **kwargs)
elif self._squeeze_ndim == 3:
ax = plot_3D(self, **kwargs)
else:
error_('Cannot guess an adequate plotter, nothing done!')
return False
return ax