def __call__(self, *args, **kwargs):
data = self._parent.copy()
kind = kwargs.pop("kind", "geo")
if kind == "geo":
return plot_dataframe(data, *args, **kwargs)
if kind in self._pandas_kinds:
# Access pandas plots
return PlotAccessor(data)(kind=kind, **kwargs)
else:
# raise error
raise ValueError(f"{kind} is not a valid plot kind")
def __call__(self, *arguments, **keywords):
data = self._parent.copy()
kind = keywords.pop('kind', 'scatter')
if kind == 'scatter':
return plot_scatter(data, *arguments, **keywords)
elif kind == 'scatter2':
return plot_scatter2(data, *arguments, **keywords)
elif kind == 'schedule':
return plot_schedule(data, *arguments, **keywords)
elif kind in self._pandas_kinds:
return PlotAccessor(data)(kind=kind, **keywords)
else:
raise ValueError(f'{kind} is not a valid plot kind')
def plot_scatter(rbdf, **keywords):
if 'alpha' not in keywords:
keywords['alpha'] = 0.25
if 'figsize' not in keywords:
keywords['figsize'] = default_figsize
if 'grid' not in keywords:
keywords['grid'] = True
if 'loglog' not in keywords:
keywords['loglog'] = True
if keywords['loglog']:
rbdf = rbdf.replace(to_replace=0.0, value=0.005)
ax = PlotAccessor(rbdf)(kind='scatter', **keywords)
low_x, high_x = ax.get_xlim()
low_y, high_y = ax.get_ylim()
low = max(low_x, low_y)
high = min(high_x, high_y)
ax.axline([low, low], [high, high], c='k', linewidth=0.1)
return ax