def edit_layout(ds_name, test=False):
env = grid2op.make(ds_name, test=test)
plotter = PlotMatplot(env.observation_space)
fig = plotter.plot_layout()
fig.show()
user_input = ""
while True:
# Select a substation or exit
user_input = input("exit or sub id: ")
if "exit" in user_input:
break
sub_id = int(user_input)
# Get substation infos
sub_name = env.name_sub[sub_id]
x = plotter._grid_layout[sub_name][0]
y = plotter._grid_layout[sub_name][1]
print("{} [{};{}]".format(sub_name, x, y))
# Update x coord
user_input = input("{} new x: ".format(sub_name))
if len(user_input) == 0:
new_x = x
else:
new_x = float(user_input)
# Update Y coord
user_input = input("{} new y: ".format(sub_name))
if len(user_input) == 0:
new_y = y
else:
new_y = float(user_input)
# Apply to layout
plotter._grid_layout[sub_name][0] = new_x
plotter._grid_layout[sub_name][1] = new_y
# Redraw
plotter.plot_info(figure=fig)
fig.canvas.draw()
# Done editing, print subs result
subs_layout = {}
for k, v in plotter._grid_layout.items():
if k in env.name_sub:
subs_layout[k] = v
print(json.dumps(subs_layout, indent=2))
class PlotErrorOnGrid:
"""
TODO move this class in this own file
this class is used to "project" on the grid the metrics / errors of some proxies.
it just ensure the projection, and as of creation (October, 26th 2020) it requires a development version
of grid2op found at https://github.com/BDonnot/Grid2Op
"""
def __init__(self, env):
from grid2op.PlotGrid import PlotMatplot
self.plot_helper = PlotMatplot(env.observation_space)
self._line_attr = {
"a_or", "a_ex", "p_or", "p_ex", "q_or", "q_ex", "v_or", "v_ex"
}
self._load_attr = {"load_p", "load_q", "load_v"}
self._prod_attr = {"prod_p", "prod_q", "prod_v"}
def get_fig(self, attr_nm, metrics):
fig = None
try:
# only floating point values are supported at the moment
metrics = metrics.astype(np.float)
except Exception as exc_:
return None
if np.all(~np.isfinite(metrics)):
# no need to plot a "all nan" vector
return None
if attr_nm in self._prod_attr:
# deals generator attributes
self.plot_helper.assign_gen_palette(increase_gen_size=1.5)
fig = self.plot_helper.plot_info(gen_values=metrics,
coloring="gen")
self.plot_helper.restore_gen_palette()
elif attr_nm in self._line_attr:
# deals with lines attributes
self.plot_helper.assign_line_palette()
fig = self.plot_helper.plot_info(line_values=metrics,
coloring="line")
self.plot_helper.restore_line_palette()
return fig
