def plot_scatter(self, mask=None, ignore_zero=False, pop_name=True,
buffer=0.0, extend='neither', **kwargs):
"""Plot exposures geometry's value sum scattered over Earth's map.
The plot will we projected according to the current crs.
Parameters:
mask (np.array, optional): mask to apply to eai_exp plotted.
ignore_zero (bool, optional): flag to indicate if zero and negative
values are ignored in plot. Default: False
pop_name (bool, optional): add names of the populated places
buffer (float, optional): border to add to coordinates. Default: 0.0.
extend (str, optional): extend border colorbar with arrows.
[ 'neither' | 'both' | 'min' | 'max' ]
kwargs (optional): arguments for scatter matplotlib function, e.g.
cmap='Greys'. Default: 'Wistia'
Returns:
matplotlib.figure.Figure, cartopy.mpl.geoaxes.GeoAxesSubplot
"""
crs_epsg, _ = self._get_transformation()
title = self.tag.description
cbar_label = 'Value (%s)' % self.value_unit
if mask is None:
mask = np.ones((self.shape[0],), dtype=bool)
if ignore_zero:
pos_vals = self.value[mask].values > 0
else:
pos_vals = np.ones((self.value[mask].values.size,), dtype=bool)
value = self.value[mask][pos_vals].values
coord = np.stack([self.latitude[mask][pos_vals].values,
self.longitude[mask][pos_vals].values], axis=1)
return u_plot.geo_scatter_from_array(value, coord, cbar_label, title, \
pop_name, buffer, extend, proj=crs_epsg, **kwargs)
def plot_scatter(self,
mask=None,
ignore_zero=False,
pop_name=True,
buffer=0.0,
extend='neither',
axis=None,
figsize=(9, 13),
adapt_fontsize=True,
**kwargs):
"""Plot exposures geometry's value sum scattered over Earth's map.
The plot will we projected according to the current crs.
Parameters:
mask (np.array, optional): mask to apply to eai_exp plotted.
ignore_zero (bool, optional): flag to indicate if zero and negative
values are ignored in plot. Default: False
pop_name : bool, optional
add names of the populated places, by default True.
buffer (float, optional): border to add to coordinates. Default: 0.0.
extend (str, optional): extend border colorbar with arrows.
[ 'neither' | 'both' | 'min' | 'max' ]
axis (matplotlib.axes._subplots.AxesSubplot, optional): axis to use
figsize (tuple, optional): figure size for plt.subplots
adapt_fontsize : bool, optional
If set to true, the size of the fonts will be adapted to the size of the figure. Otherwise
the default matplotlib font size is used. Default is True.
kwargs (optional): arguments for scatter matplotlib function, e.g.
cmap='Greys'. Default: 'Wistia'
Returns:
cartopy.mpl.geoaxes.GeoAxesSubplot
"""
crs_epsg, _ = u_plot.get_transformation(self.crs)
title = self.tag.description
cbar_label = 'Value (%s)' % self.value_unit
if mask is None:
mask = np.ones((self.gdf.shape[0], ), dtype=bool)
if ignore_zero:
pos_vals = self.gdf.value[mask].values > 0
else:
pos_vals = np.ones((self.gdf.value[mask].values.size, ),
dtype=bool)
value = self.gdf.value[mask][pos_vals].values
coord = np.stack([
self.gdf.latitude[mask][pos_vals].values,
self.gdf.longitude[mask][pos_vals].values
],
axis=1)
return u_plot.geo_scatter_from_array(value,
coord,
cbar_label,
title,
pop_name,
buffer,
extend,
proj=crs_epsg,
axes=axis,
figsize=figsize,
adapt_fontsize=adapt_fontsize,
**kwargs)
def test_geo_scatter_from_array(self):
values = np.array([1, 2.0, 1, 1])
coord = np.array([[-17, 178], [-10, 180], [-27, 175], [-16, 186]])
var_name = 'test'
title = 'test'
projection = ccrs.PlateCarree()
cmap = 'viridis'
ax = u_plot.geo_scatter_from_array(values, coord, var_name, title,
pop_name=True, extend='neither',
shapes=True, axes=None, proj=projection,
figsize=(9, 13), cmap=cmap)
self.assertEqual(var_name, ax.get_title())
self.assertAlmostEqual(np.max(values), ax.collections[0].colorbar.vmax)
self.assertAlmostEqual(np.min(values), ax.collections[0].colorbar.vmin)
self.assertEqual(cmap, ax.collections[0].cmap.name)
plt.close()