Temperature results: display of temperature representation along the reach, with a scale of color

temperature_test
Dylan Jeannin 2026-08-13 13:00:49 +02:00
parent 0fdb362313
commit a44dddb51b
3 changed files with 255 additions and 0 deletions

View File

@ -0,0 +1,215 @@
# PlotTemperature.py -- Pamhyr
# Copyright (C) 2026 INRAE
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# -*- coding: utf-8 -*-
import numpy as np
from matplotlib.cm import ScalarMappable
from matplotlib.collections import PolyCollection
from matplotlib.colors import Normalize
from View.Results.PlotXY import PlotXY
class PlotTemperature(PlotXY):
def __init__(self, canvas=None, trad=None, toolbar=None,
results=None, reach_id=0, profile_id=0,
pol_id=1, parent=None):
super(PlotTemperature, self).__init__(
canvas=canvas,
trad=trad,
toolbar=toolbar,
results=results,
reach_id=reach_id,
profile_id=profile_id,
res_id=[0],
parent=parent,
)
self._current_pol_id = pol_id
self._global_ranges = {}
self._temperature_zones = None
self._colorbar = None
self._auto_relim_update = False
self._autoscale_update = False
@property
def results(self):
return self.data
@results.setter
def results(self, results):
self.data = results
self._timestamps = sorted(results.get("timestamps"))
self._current_timestamp = self._timestamps[-1]
self._global_ranges.clear()
def draw(self, highlight=None):
if self._colorbar is not None:
self._colorbar.remove()
self._colorbar = None
self.init_axes()
reach = self.results.river.reach(self._current_reach_id)
if reach.geometry.number_profiles == 0:
self._init = False
return
temperatures = self._temperatures(reach)
norm = self._temperature_norm()
self.draw_profiles(reach, self.results.river.reachs)
self.draw_guide_lines(reach)
self._draw_temperature_zones(reach, temperatures, norm)
self.draw_current(reach)
mappable = self._temperature_zones
if mappable is None:
mappable = ScalarMappable(norm=norm, cmap="coolwarm")
self._colorbar = self.canvas.figure.colorbar(
mappable, ax=self.canvas.axes
)
self._colorbar.set_label(self._trad["unit_temperature"])
# self.canvas.axes.set_title(
# f"{self._trad['temperature_map']} — {reach.name}"
# )
self.canvas.axes.set_aspect("auto")
self._zoom_to_reach_bbox(reach)
self.canvas.draw_idle()
self.toolbar_update()
self._init = True
def _draw_temperature_zones(self, reach, temperatures, norm):
profiles = reach.profiles
polygons = []
for index in range(len(profiles) - 1):
current = profiles[index].geometry
following = profiles[index + 1].geometry
if current.number_points == 0 or following.number_points == 0:
continue
polygons.append([
(current.x()[0], current.y()[0]),
(current.x()[-1], current.y()[-1]),
(following.x()[-1], following.y()[-1]),
(following.x()[0], following.y()[0]),
])
if not polygons:
self._temperature_zones = None
return
self._temperature_zones = PolyCollection(
polygons,
cmap="coolwarm",
norm=norm,
edgecolors="none",
alpha=0.8,
zorder=1,
)
self._temperature_zones.set_array(
self._segment_temperatures(temperatures)
)
self.canvas.axes.add_collection(self._temperature_zones)
def update(self):
if not self._init or self._temperature_zones is None:
self.draw()
return
reach = self.results.river.reach(self._current_reach_id)
self._temperature_zones.set_array(
self._segment_temperatures(self._temperatures(reach))
)
self.canvas.draw_idle()
def set_reach(self, reach_id):
self._current_reach_id = reach_id
self._current_profile_id = 0
self.draw()
def set_profile(self, profile_id):
self._current_profile_id = profile_id
reach = self.results.river.reach(self._current_reach_id)
profile = reach.profile(profile_id)
self.plot_selected.set_data(
profile.geometry.x(), profile.geometry.y()
)
self.canvas.draw_idle()
def set_pollutant(self, pol_id):
self._current_pol_id = pol_id
self.draw()
def set_timestamp(self, timestamp):
self._current_timestamp = timestamp
self.update()
def _temperatures(self, reach):
return np.asarray([
profile.get_ts_key(self._current_timestamp, "pols")[
self._current_pol_id
][0]
for profile in reach.profiles
], dtype=float)
@staticmethod
def _segment_temperatures(temperatures):
return (temperatures[:-1] + temperatures[1:]) / 2.0
def _temperature_norm(self):
minimum, maximum = self._global_temperature_range()
if minimum == maximum:
maximum = minimum + 1.0
return Normalize(vmin=minimum, vmax=maximum)
def _zoom_to_reach_bbox(self, reach):
x_values = [
np.asarray(profile.geometry.x(), dtype=float)
for profile in reach.profiles
if len(profile.geometry.x()) != 0
]
y_values = [
np.asarray(profile.geometry.y(), dtype=float)
for profile in reach.profiles
if len(profile.geometry.y()) != 0
]
if not x_values or not y_values:
return
x = np.concatenate(x_values)
y = np.concatenate(y_values)
x_min, x_max = float(np.min(x)), float(np.max(x))
y_min, y_max = float(np.min(y)), float(np.max(y))
x_margin = max((x_max - x_min) * 0.05, 1.0)
y_margin = max((y_max - y_min) * 0.05, 1.0)
self.canvas.axes.set_xlim(x_min - x_margin, x_max + x_margin)
self.canvas.axes.set_ylim(y_min - y_margin, y_max + y_margin)
def _global_temperature_range(self):
pol_id = self._current_pol_id
if pol_id in self._global_ranges:
return self._global_ranges[pol_id]
temperatures = []
for reach in self.results.river.reachs:
for profile in reach.profiles:
for timestamp in self._timestamps:
values = profile.get_ts_key(timestamp, "pols")
if values is not None:
temperatures.append(values[pol_id][0])
temperatures = np.asarray(temperatures, dtype=float)
temperatures = temperatures[np.isfinite(temperatures)]
value_range = (
(float(np.min(temperatures)), float(np.max(temperatures)))
if temperatures.size
else (0.0, 1.0)
)
self._global_ranges[pol_id] = value_range
return value_range

View File

@ -47,6 +47,7 @@ from View.Tools.Plot.PamhyrCanvas import MplCanvas
from View.Tools.Plot.PamhyrToolbar import PamhyrPlotToolbar
from View.Results.PlotSedAdis import PlotAdis_dx, PlotAdis_dt
from View.Results.PlotTemperature import PlotTemperature
from View.Results.CustomPlot.Plot import CustomPlot
from View.Results.CustomExport.CustomExportAdis import (
@ -225,6 +226,33 @@ class ResultsWindowAdisTT(PamhyrWindow):
)
self.plot_cdx.draw()
self.canvas_temperature_map = MplCanvas(width=5, height=4, dpi=100)
self.canvas_temperature_map.setObjectName("canvas_temperature_map")
self.toolbar_temperature_map = PamhyrPlotToolbar(
self.canvas_temperature_map, self, items=[
"home", "move", "zoom", "save", "iso", "back/forward"
]
)
temperature_map_tab = QWidget()
temperature_map_layout = QVBoxLayout(temperature_map_tab)
temperature_map_layout.addWidget(self.toolbar_temperature_map)
temperature_map_layout.addWidget(self.canvas_temperature_map)
self.find(QTabWidget, "tabWidget_c").addTab(
temperature_map_tab,
self._trad["temperature_map"]
)
self.plot_temperature = PlotTemperature(
canvas=self.canvas_temperature_map,
results=self._results,
reach_id=self._reach_id,
profile_id=self._profile_id,
pol_id=self._current_pol_id[0],
trad=self._trad,
toolbar=self.toolbar_temperature_map,
parent=self,
)
self.plot_temperature.draw()
# The AdisTT window only displays temperature plots. The code below
# belongs to the sediment/pollutant result window and its layouts are
# intentionally absent from ResultsAdisTT.ui.
@ -507,6 +535,7 @@ class ResultsWindowAdisTT(PamhyrWindow):
self._reach_id = reach_id
self.plot_cdt.set_reach(reach_id)
self.plot_cdx.set_reach(reach_id)
self.plot_temperature.set_reach(reach_id)
self.update_table_selection_reach(reach_id)
self.update_table_selection_profile(0)
@ -515,6 +544,7 @@ class ResultsWindowAdisTT(PamhyrWindow):
self._profile_id = profile_id
self.plot_cdt.set_profile(profile_id)
self.plot_cdx.set_profile(profile_id)
self.plot_temperature.set_profile(profile_id)
self.update_table_selection_profile(profile_id)
@ -522,10 +552,12 @@ class ResultsWindowAdisTT(PamhyrWindow):
self._current_pol_id = [p+1 for p in pol_id] # rm total_sediment
self.plot_cdt.set_pollutant(self._current_pol_id)
self.plot_cdx.set_pollutant(self._current_pol_id)
self.plot_temperature.set_pollutant(self._current_pol_id[0])
if timestamp is not None:
self.plot_cdt.set_timestamp_preserve_view(timestamp)
self.plot_cdx.set_timestamp_preserve_view(timestamp)
self.plot_temperature.set_timestamp(timestamp)
self._table["raw_data"].set_timestamp(timestamp)
@ -574,6 +606,8 @@ class ResultsWindowAdisTT(PamhyrWindow):
self.plot_cdt.draw()
self.plot_cdx.draw()
self.plot_temperature.results = self._results
self.plot_temperature.draw()
def _reload_slider(self):
self._slider_time = self.find(QSlider, f"horizontalSlider_time")

View File

@ -46,6 +46,12 @@ class ResultsTranslate(MainTranslate):
self._dict['solver'] = _translate("Results", "Solver")
self._dict['x'] = _translate("Results", "X (m)")
self._dict["temperature_map"] = _translate(
"Results", "Reach temperature map"
)
self._dict["temperature"] = _translate(
"Results", "Temperature"
)
self._dict['label_bottom'] = _translate("Results", "Bottom")
self._dict['label_water'] = _translate("Results", "Water elevation")