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Add 2d image interpolation for param study

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usov_i 2021-05-31 14:59:00 +02:00
parent f6d9f63863
commit fe61d3c4cb
1 changed files with 22 additions and 0 deletions
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22
pyzebra/app/panel_param_study.py
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@ -21,6 +21,7 @@ from bokeh.models import (
FileInput, FileInput,
Grid, Grid,
HoverTool, HoverTool,
Image,
Legend, Legend,
Line, Line,
LinearAxis, LinearAxis,
@ -46,6 +47,7 @@ from bokeh.models import (
) )
from bokeh.palettes import Category10, Turbo256 from bokeh.palettes import Category10, Turbo256
from bokeh.transform import linear_cmap from bokeh.transform import linear_cmap
from scipy import interpolate
import pyzebra import pyzebra
from pyzebra.ccl_process import AREA_METHODS from pyzebra.ccl_process import AREA_METHODS
@ -269,6 +271,21 @@ def create():
mapper["transform"].high = np.max([np.max(y) for y in ys]) mapper["transform"].high = np.max([np.max(y) for y in ys])
ov_param_plot_scatter_source.data.update(x=x, y=y, param=par) ov_param_plot_scatter_source.data.update(x=x, y=y, param=par)
if y:
interp_f = interpolate.interp2d(x, y, par)
x1, x2 = min(x), max(x)
y1, y2 = min(y), max(y)
image = interp_f(
np.linspace(x1, x2, ov_param_plot.inner_width // 10),
np.linspace(y1, y2, ov_param_plot.inner_height // 10),
assume_sorted=True,
)
ov_param_plot_image_source.data.update(
image=[image], x=[x1], y=[y1], dw=[x2 - x1], dh=[y2 - y1]
)
else:
ov_param_plot_image_source.data.update(image=[], x=[], y=[], dw=[], dh=[])
def _update_param_plot(): def _update_param_plot():
x = [] x = []
y = [] y = []
@ -364,6 +381,11 @@ def create():
ov_param_plot.add_layout(Grid(dimension=0, ticker=BasicTicker())) ov_param_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
ov_param_plot.add_layout(Grid(dimension=1, ticker=BasicTicker())) ov_param_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
ov_param_plot_image_source = ColumnDataSource(dict(image=[], x=[], y=[], dw=[], dh=[]))
ov_param_plot.add_glyph(
ov_param_plot_image_source, Image(image="image", x="x", y="y", dw="dw", dh="dh")
)
ov_param_plot_scatter_source = ColumnDataSource(dict(x=[], y=[], param=[])) ov_param_plot_scatter_source = ColumnDataSource(dict(x=[], y=[], param=[]))
mapper = linear_cmap(field_name="param", palette=Turbo256, low=0, high=50) mapper = linear_cmap(field_name="param", palette=Turbo256, low=0, high=50)
ov_param_plot.add_glyph( ov_param_plot.add_glyph(