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Koordinatenart für den Plot wählbar

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This commit is contained in:
Tammo.Weber
2026-02-03 21:45:24 +01:00
parent d80492a9e5
commit 1532c97111
1 changed files with 25 additions and 9 deletions
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34
dashboard.py
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@@ -13,7 +13,7 @@ from GHA_triaxial.approx_gha1 import gha1_approx
from GHA_triaxial.panou_2013_2GHA_num import gha2_num from GHA_triaxial.panou_2013_2GHA_num import gha2_num
from GHA_triaxial.ES_gha2 import gha2_ES from GHA_triaxial.ES_gha2 import gha2_ES
from GHA_triaxial.approx_gha2 import gha2 from GHA_triaxial.approx_gha2 import gha2_approx
app = Dash(__name__, suppress_callback_exceptions=True) app = Dash(__name__, suppress_callback_exceptions=True)
@@ -194,7 +194,9 @@ app.layout = html.Div(
{"label": "Bursa1972", "value": "Bursa1972"}, {"label": "Bursa1972", "value": "Bursa1972"},
{"label": "Bursa1970", "value": "Bursa1970"}, {"label": "Bursa1970", "value": "Bursa1970"},
{"label": "BesselBiaxial", "value": "BesselBiaxial"}, {"label": "BesselBiaxial", "value": "BesselBiaxial"},
{"label": "KarneyTest2024", "value": "KarneyTest2024"},
{"label": "Fiction", "value": "Fiction"}, {"label": "Fiction", "value": "Fiction"},
], ],
value="", value="",
style={"width": "300px", "marginBottom": "16px"}, style={"width": "300px", "marginBottom": "16px"},
@@ -241,12 +243,25 @@ app.layout = html.Div(
"minWidth": "520px", "minWidth": "520px",
"position": "sticky", "position": "sticky",
"top": "0", "top": "0",
"marginTop": "-150px", "marginTop": "-50px",
}, },
children=[ children=[
html.Label("Koordinatenart wählen:"),
dcc.Dropdown(
id="dropdown-coors-type",
options=[
{"label": "Ellipsoidisch", "value": "ell"},
{"label": "Parametrisch", "value": "para"},
{"label": "Geodätisch", "value": "geod"},
],
value="ell",
clearable=False,
style={"width": "300px"},
),
dcc.Graph( dcc.Graph(
id="ellipsoid-plot", id="ellipsoid-plot",
style={"height": "90vh", "width": "100%"}, style={"height": "85vh", "width": "100%"},
config={"responsive": True} config={"responsive": True}
) )
], ],
@@ -297,7 +312,7 @@ def render_content(tab):
options=[ options=[
{"label": "Analytisch", "value": "analytisch"}, {"label": "Analytisch", "value": "analytisch"},
{"label": "Numerisch", "value": "numerisch"}, {"label": "Numerisch", "value": "numerisch"},
{"label": "Stochastisch (ES)", "value": "stochastisch"}, #{"label": "Stochastisch (ES)", "value": "stochastisch"},
{"label": "Approximiert", "value": "approx"}, {"label": "Approximiert", "value": "approx"},
], ],
value=[], value=[],
@@ -602,7 +617,7 @@ def compute_gha2_num(n2, beta0, lamb0, beta1, lamb1, ax, ay, b, method2):
P0 = ell.ell2cart(beta0_rad, lamb0_rad) P0 = ell.ell2cart(beta0_rad, lamb0_rad)
P1 = ell.ell2cart(beta1_rad, lamb1_rad) P1 = ell.ell2cart(beta1_rad, lamb1_rad)
a0_num, a1_num, s_num, beta_arr, lamb_arr = gha2_num(ell, beta0_rad, lamb0_rad, beta1_rad, lamb1_rad, all_points=True) a0_num, a1_num, s_num, beta_arr, lamb_arr = gha2_num(ell, beta0_rad, lamb0_rad, beta1_rad, lamb1_rad, all_points=True, n=3000)
polyline = [] polyline = []
for b_rad, l_rad in zip(beta_arr, lamb_arr): for b_rad, l_rad in zip(beta_arr, lamb_arr):
@@ -652,7 +667,7 @@ def compute_gha2_stoch(n2, beta0, lamb0, beta1, lamb1, ax, ay, b, method2):
P0 = ell.ell2cart(beta0_rad, lamb0_rad) P0 = ell.ell2cart(beta0_rad, lamb0_rad)
P1 = ell.ell2cart(beta1_rad, lamb1_rad) P1 = ell.ell2cart(beta1_rad, lamb1_rad)
a0_stoch, a1_stoch, s_stoch, points = gha2_ES(ell, P0, P1, all_points=True, sigmaStep=1e-5) a0_stoch, a1_stoch, s_stoch, points = gha2_ES(ell, P0, P1, all_points=True)
out = html.Div([ out = html.Div([
html.Strong("Stochastisch (ES): "), html.Strong("Stochastisch (ES): "),
@@ -691,7 +706,7 @@ def compute_gha2_approx(n2, beta0, lamb0, beta1, lamb1, ax, ay, b, method2):
P0 = ell.ell2cart(beta0_rad, lamb0_rad) P0 = ell.ell2cart(beta0_rad, lamb0_rad)
P1 = ell.ell2cart(beta1_rad, lamb1_rad) P1 = ell.ell2cart(beta1_rad, lamb1_rad)
a0_app, a1_app, s_app, points = gha2(ell, P0, P1, ds=1e-4, all_points=True) a0_app, a1_app, s_app, points = gha2_approx(ell, P0, P1, ds=1e-4, all_points=True)
out = html.Div([ out = html.Div([
html.Strong("Approximiert: "), html.Strong("Approximiert: "),
@@ -706,6 +721,7 @@ def compute_gha2_approx(n2, beta0, lamb0, beta1, lamb1, ax, ay, b, method2):
Input("input-ax", "value"), Input("input-ax", "value"),
Input("input-ay", "value"), Input("input-ay", "value"),
Input("input-b", "value"), Input("input-b", "value"),
Input("dropdown-coors-type", "value"),
Input("store-gha1-ana", "data"), Input("store-gha1-ana", "data"),
Input("store-gha1-num", "data"), Input("store-gha1-num", "data"),
Input("store-gha1-stoch", "data"), Input("store-gha1-stoch", "data"),
@@ -714,13 +730,13 @@ def compute_gha2_approx(n2, beta0, lamb0, beta1, lamb1, ax, ay, b, method2):
Input("store-gha2-stoch", "data"), Input("store-gha2-stoch", "data"),
Input("store-gha2-approx", "data"), Input("store-gha2-approx", "data"),
) )
def render_all(ax, ay, b, store_gha1_ana, store_gha1_num, store_gha1_stoch, store_gha1_approx, store_gha2_num, store_gha2_stoch, store_gha2_approx): def render_all(ax, ay, b, coords_type, store_gha1_ana, store_gha1_num, store_gha1_stoch, store_gha1_approx, store_gha2_num, store_gha2_stoch, store_gha2_approx):
if None in (ax, ay, b): if None in (ax, ay, b):
return go.Figure() return go.Figure()
ell = EllipsoidTriaxial(ax, ay, b) ell = EllipsoidTriaxial(ax, ay, b)
fig = ellipsoid_figure(ell, title="") fig = ellipsoid_figure(ell, title="")
fig = figure_constant_lines(fig, ell, "ell") fig = figure_constant_lines(fig, ell, coords_type)
def add_from_store(fig, store): def add_from_store(fig, store):
if not store: if not store: