Python seaborn.light_palette() Examples
The following are 4
code examples of seaborn.light_palette().
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Example #1
| Source File: PlotPlotly.py From Grid2Op with Mozilla Public License 2.0 | 5 votes |
|
def __init__(self,
observation_space,
substation_layout=None,
radius_sub=25.,
load_prod_dist=70.,
bus_radius=4.):
"""
Parameters
----------
substation_layout: ``list``
List of tupe given the position of each of the substation of the powergrid.
observation_space: :class:`grid2op.Observation.ObservationSpace`
BaseObservation space
"""
BasePlot.__init__(self,
substation_layout=substation_layout,
observation_space=observation_space,
radius_sub=radius_sub,
load_prod_dist=load_prod_dist,
bus_radius=bus_radius)
if not can_plot:
raise PlotError("Impossible to plot as plotly cannot be imported. Please install \"plotly\" and "
"\"seaborn\" with \"pip install --update plotly seaborn\"")
# define a color palette, whatever...
sns.set()
pal = sns.light_palette("darkred", 8)
self.cols = pal.as_hex()[1:]
self.col_line = "royalblue"
self.col_sub = "red"
self.col_load = "black"
self.col_gen = "darkgreen"
self.default_color = "black"
self.type_fig_allowed = go.Figure
Example #2
| Source File: PlotPlotly.py From Grid2Op with Mozilla Public License 2.0 | 5 votes |
|
def __init__(self,
observation_space,
substation_layout=None,
radius_sub=25.,
load_prod_dist=70.,
bus_radius=4.):
"""
Parameters
----------
substation_layout: ``list``
List of tupe given the position of each of the substation of the powergrid.
observation_space: :class:`grid2op.Observation.ObservationSpace`
BaseObservation space
"""
BasePlot.__init__(self,
substation_layout=substation_layout,
observation_space=observation_space,
radius_sub=radius_sub,
load_prod_dist=load_prod_dist,
bus_radius=bus_radius)
if not can_plot:
raise PlotError("Impossible to plot as plotly cannot be imported. Please install \"plotly\" and "
"\"seaborn\" with \"pip install --update plotly seaborn\"")
# define a color palette, whatever...
sns.set()
pal = sns.light_palette("darkred", 8)
self.cols = pal.as_hex()[1:]
self.col_line = "royalblue"
self.col_sub = "red"
self.col_load = "black"
self.col_gen = "darkgreen"
self.default_color = "black"
self.type_fig_allowed = go.Figure
Example #3
| Source File: driver.py From treeomics with GNU General Public License v3.0 | 5 votes |
|
def colors():
if Driver.Colors is None or len(Driver.Colors) != Driver.MaxSourceSupport:
cp = sns.light_palette("darkred", n_colors=Driver.MaxSourceSupport+1)
# for r, g, b, _ in cp:
# cs.append("#{0:02x}{1:02x}{2:02x}".format(clamp(r), clamp(g), clamp(b)))
Driver.Colors = cp
return Driver.Colors
Example #4
| Source File: example_viz_parametric_tSNE.py From parametric_tsne with MIT License | 5 votes |
|
def _plot_kde(output_res, pick_rows, color_palette, alpha=0.5):
num_clusters = len(set(pick_rows))
for ci in range(num_clusters):
cur_plot_rows = pick_rows == ci
cur_cmap = sns.light_palette(color_palette[ci], as_cmap=True)
sns.kdeplot(output_res[cur_plot_rows, 0], output_res[cur_plot_rows, 1], cmap=cur_cmap, shade=True, alpha=alpha,
shade_lowest=False)
centroid = output_res[cur_plot_rows, :].mean(axis=0)
plt.annotate('%s' % ci, xy=centroid, xycoords='data', alpha=0.5,
horizontalalignment='center', verticalalignment='center')
