Results: Export: Use np table.

opt-result
Pierre-Antoine 2026-07-01 15:39:52 +02:00
parent b87f82f74d
commit 6c4f863b96
1 changed files with 119 additions and 83 deletions

View File

@ -872,14 +872,25 @@ class ResultsWindow(PamhyrWindow):
reach = results.river.reachs[self._get_current_reach()]
dict_x = self._trad.get_dict("values_x")
dict_y = self._trad.get_dict("values_y")
if self._current_results == 2:
envelop = False
reach1 = results[0].river.reachs[self._get_current_reach()]
reach2 = results[1].river.reachs[self._get_current_reach()]
if envelop:
dict_y.update(self._trad.get_dict("values_y_envelop"))
my_dict = {}
my_dict[dict_x["rk"]] = reach.geometry.get_rk()
table = results.get("table")
id_ts = results.get_timestamp_id(timestamp)
z = table["Z"]
q = table["Q"]
v = table["V"]
if "bed_elevation" in y:
if reach.has_bedload():
zmin = list(
@ -897,40 +908,40 @@ class ResultsWindow(PamhyrWindow):
if "discharge" in y:
my_dict[dict_y["discharge"]] = list(
map(
lambda p: p.get_ts_key(timestamp, "Q"),
lambda p: q[id_ts, p.global_index],
reach.profiles
)
)
if envelop:
my_dict[dict_y["min_discharge"]] = list(
map(
lambda p: min(p.get_key("Q")),
lambda p: min(q[:, p.global_index]),
reach.profiles
)
)
my_dict[dict_y["max_discharge"]] = list(
map(
lambda p: max(p.get_key("Q")),
lambda p: max(q[:, p.global_index]),
reach.profiles
)
)
if "water_elevation" in y:
my_dict[dict_y["water_elevation"]] = list(
map(
lambda p: p.get_ts_key(timestamp, "Z"),
lambda p: z[id_ts, p.global_index],
reach.profiles
)
)
if envelop:
my_dict[dict_y["min_water_elevation"]] = list(
map(
lambda p: min(p.get_key("Z")),
lambda p: min(z[:, p.global_index]),
reach.profiles
)
)
my_dict[dict_y["max_water_elevation"]] = list(
map(
lambda p: max(p.get_key("Z")),
lambda p: max(z[:, p.global_index]),
reach.profiles
)
)
@ -938,16 +949,15 @@ class ResultsWindow(PamhyrWindow):
if "velocity" in y:
my_dict[dict_y["velocity"]] = list(
map(
lambda p: p.get_ts_key(timestamp, "V"),
lambda p: v[id_ts, p.global_index],
reach.profiles
)
)
if envelop:
velocities = list(map(
lambda p: p.get_key("V"),
reach.profiles
)
)
lambda p: v[:, p.global_index],
reach.profiles
))
my_dict[dict_y["min_velocity"]] = [min(v) for v in velocities]
my_dict[dict_y["max_velocity"]] = [max(v) for v in velocities]
@ -956,7 +966,8 @@ class ResultsWindow(PamhyrWindow):
d = my_dict[dict_y["depth"]] = list(
map(
lambda p: p.geometry.max_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach.profiles
)
)
@ -964,14 +975,16 @@ class ResultsWindow(PamhyrWindow):
d1 = list(
map(
lambda p: p.geometry.max_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach1.profiles
)
)
d2 = list(
map(
lambda p: p.geometry.max_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach2.profiles
)
)
@ -985,14 +998,14 @@ class ResultsWindow(PamhyrWindow):
if envelop:
my_dict[dict_y["min_depth"]] = list(map(
lambda p1, p2: p1 - p2, map(
lambda p: min(p.get_key("Z")),
lambda p: min(z[:, p.global_index]),
reach.profiles
), reach.geometry.get_z_min()
)
)
my_dict[dict_y["max_depth"]] = list(map(
lambda p1, p2: p1 - p2, map(
lambda p: max(p.get_key("Z")),
lambda p: max(z[:, p.global_index]),
reach.profiles
), reach.geometry.get_z_min()
)
@ -1003,7 +1016,8 @@ class ResultsWindow(PamhyrWindow):
d = list(
map(
lambda p: p.geometry.mean_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach.profiles
)
)
@ -1011,14 +1025,16 @@ class ResultsWindow(PamhyrWindow):
d1 = list(
map(
lambda p: p.geometry.mean_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach1.profiles
)
)
d2 = list(
map(
lambda p: p.geometry.mean_water_depth(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach2.profiles
)
)
@ -1033,57 +1049,65 @@ class ResultsWindow(PamhyrWindow):
if self._current_results != 2:
fr = my_dict[dict_y["froude"]] = list(
map(
lambda p:
p.get_ts_key(timestamp, "V") /
lambda p: (
v[id_ts, p.global_index] /
sqrt(9.81 * (
p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")) /
z[id_ts, p.global_index]
) /
p.geometry.wet_width(
p.get_ts_key(timestamp, "Z"))
)),
z[id_ts, p.global_index]
)
))
),
reach.profiles
)
)
else:
fr1 = list(
map(
lambda p:
p.get_ts_key(timestamp, "V") /
lambda p: (
v[id_ts, p.global_index] /
sqrt(9.81 * (
p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")) /
z[id_ts, p.global_index]
) /
p.geometry.wet_width(
p.get_ts_key(timestamp, "Z"))
)),
z[id_ts, p.global_index]
)
))
),
reach1.profiles
)
)
fr2 = list(
map(
lambda p:
p.get_ts_key(timestamp, "V") /
lambda p: (
v[id_ts, p.global_index] /
sqrt(9.81 * (
p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")) /
z[id_ts, p.global_index]
) /
p.geometry.wet_width(
p.get_ts_key(timestamp, "Z"))
)),
z[id_ts, p.global_index]
)
))
),
reach2.profiles
)
)
fr = list(
map(
lambda x, y: x - y,
fr1, fr2
)
)
fr = list(map(
lambda x, y: x - y,
fr1, fr2
))
my_dict[dict_y["froude"]] = fr
if "wet_area" in y:
if self._current_results != 2:
wa = list(
map(
lambda p: p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach.profiles
)
)
@ -1091,23 +1115,24 @@ class ResultsWindow(PamhyrWindow):
wa1 = list(
map(
lambda p: p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach1.profiles
)
)
wa2 = list(
map(
lambda p: p.geometry.wet_area(
p.get_ts_key(timestamp, "Z")),
z[id_ts, p.global_index]
),
reach2.profiles
)
)
wa = list(
map(
lambda x, y: x - y,
wa1, wa2
)
)
wa = list(map(
lambda x, y: x - y,
wa1, wa2
))
my_dict[dict_y["wet_area"]] = wa
return my_dict
@ -1118,24 +1143,38 @@ class ResultsWindow(PamhyrWindow):
profile = reach.profile(profile)
dict_x = self._trad.get_dict("values_x")
dict_y = self._trad.get_dict("values_y")
my_dict = {}
my_dict[dict_x["time"]] = self._timestamps
z = profile.get_key("Z")
q = profile.get_key("Q")
v = profile.get_key("V")
table = results.get("table")
z = table["Z"][:, profile.global_index]
q = table["Q"][:, profile.global_index]
v = table["V"][:, profile.global_index]
if self._current_results == 2:
reach1 = self._results[0].river.reach(self._reach)
reach2 = self._results[1].river.reach(self._reach)
reach3 = self._results[2].river.reach(self._reach)
profile1 = reach1.profile(self._profile)
profile2 = reach2.profile(self._profile)
profile3 = reach3.profile(self._profile)
# profile3 = reach3.profile(self._profile)
z1 = table["Z"][:, profile1.global_index]
q1 = table["Q"][:, profile1.global_index]
v1 = table["V"][:, profile1.global_index]
z2 = table["Z"][:, profile2.global_index]
q2 = table["Q"][:, profile2.global_index]
v2 = table["V"][:, profile2.global_index]
if "bed_elevation" in y:
if reach.has_bedload():
z_min = profile.get_key("zfd")
else:
z_min = [profile.geometry.z_min()] * len(self._timestamps)
my_dict[dict_y["bed_elevation"]] = z_min
if "discharge" in y:
my_dict[dict_y["discharge"]] = q
@ -1146,14 +1185,14 @@ class ResultsWindow(PamhyrWindow):
if "depth" in y:
if self._current_results != 2:
d = list(
map(lambda z: profile.geometry.max_water_depth(z), z)
map(lambda x: profile.geometry.max_water_depth(x), z)
)
else:
d1 = list(
map(lambda z: profile1.geometry.max_water_depth(z), z1)
map(lambda x: profile1.geometry.max_water_depth(x), z1)
)
d2 = list(
map(lambda z: profile2.geometry.max_water_depth(z), z2)
map(lambda x: profile2.geometry.max_water_depth(x), z2)
)
d = list(
map(
@ -1165,21 +1204,19 @@ class ResultsWindow(PamhyrWindow):
if "mean_depth" in y:
if self._current_results != 2:
d = list(
map(lambda z: profile.geometry.mean_water_depth(z), z)
map(lambda x: profile.geometry.mean_water_depth(x), z)
)
else:
d1 = list(
map(lambda z: profile1.geometry.mean_water_depth(z), z1)
map(lambda x: profile1.geometry.mean_water_depth(x), z1)
)
d2 = list(
map(lambda z: profile2.geometry.mean_water_depth(z), z2)
map(lambda x: profile2.geometry.mean_water_depth(x), z2)
)
d = list(
map(
lambda x, y: x - y,
d1, d2
)
)
d = list(map(
lambda x, y: x - y,
d1, d2
))
my_dict[dict_y["mean_depth"]] = d
if "froude" in y:
if self._current_results != 2:
@ -1188,7 +1225,8 @@ class ResultsWindow(PamhyrWindow):
v / sqrt(9.81 * (
profile.geometry.wet_area(z) /
profile.geometry.wet_width(z))
), z, v)
),
z, v)
)
else:
fr1 = list(
@ -1197,7 +1235,8 @@ class ResultsWindow(PamhyrWindow):
sqrt(9.81 * (
profile1.geometry.wet_area(z) /
profile1.geometry.wet_width(z))
), z1, v1)
),
z1, v1)
)
fr2 = list(
map(lambda z, v:
@ -1205,33 +1244,30 @@ class ResultsWindow(PamhyrWindow):
sqrt(9.81 * (
profile2.geometry.wet_area(z) /
profile2.geometry.wet_width(z))
), z2, v2)
)
fr = list(
map(
lambda x, y: x - y,
fr1, fr2
)
),
z2, v2)
)
fr = list(map(
lambda x, y: x - y,
fr1, fr2
))
my_dict[dict_y["froude"]] = fr
if "wet_area" in y:
if self._current_results != 2:
wa = list(
map(lambda z: profile.geometry.wet_area(z), z)
map(lambda x: profile.geometry.wet_area(x), z)
)
else:
wa1 = list(
map(lambda z: profile1.geometry.wet_area(z), z1)
map(lambda x: profile1.geometry.wet_area(x), z1)
)
wa2 = list(
map(lambda z: profile2.geometry.wet_area(z), z2)
map(lambda x: profile2.geometry.wet_area(x), z2)
)
wa = list(
map(
lambda x, y: x - y,
wa1, wa2
)
)
wa = list(map(
lambda x, y: x - y,
wa1, wa2
))
my_dict[dict_y["wet_area"]] = wa
return my_dict