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Display angular coordinates in hovertool

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usov_i 2020-10-12 17:33:06 +02:00
parent b1ac05e7f7
commit 1b17f73a4a
1 changed files with 34 additions and 1 deletions
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35
pyzebra/app/panel_data_viewer.py
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@ -86,6 +86,9 @@ def create():
magnetic_field_spinner.value = det_data["magnetic_field"][index]
temperature_spinner.value = det_data["temperature"][index]
gamma, nu = calculate_pol(det_data, index)
image_source.data.update(gamma=[gamma], nu=[nu])
def update_overview_plot():
h5_data = det_data["data"]
n_im, n_y, n_x = h5_data.shape
@ -156,6 +159,8 @@ def create():
h=[np.zeros((1, 1))],
k=[np.zeros((1, 1))],
l=[np.zeros((1, 1))],
gamma=[np.zeros((1, 1))],
nu=[np.zeros((1, 1))],
x=[0],
y=[0],
dw=[IMAGE_W],
@ -166,10 +171,14 @@ def create():
h_glyph = Image(image="h", x="x", y="y", dw="dw", dh="dh", global_alpha=0)
k_glyph = Image(image="k", x="x", y="y", dw="dw", dh="dh", global_alpha=0)
l_glyph = Image(image="l", x="x", y="y", dw="dw", dh="dh", global_alpha=0)
gamma_glyph = Image(image="gamma", x="x", y="y", dw="dw", dh="dh", global_alpha=0)
nu_glyph = Image(image="nu", x="x", y="y", dw="dw", dh="dh", global_alpha=0)
plot.add_glyph(image_source, h_glyph)
plot.add_glyph(image_source, k_glyph)
plot.add_glyph(image_source, l_glyph)
plot.add_glyph(image_source, gamma_glyph)
plot.add_glyph(image_source, nu_glyph)
image_glyph = Image(image="image", x="x", y="y", dw="dw", dh="dh")
plot.add_glyph(image_source, image_glyph, name="image_glyph")
@ -210,7 +219,16 @@ def create():
proj_h.add_glyph(proj_h_line_source, Line(x="x", y="y", line_color="steelblue"))
# add tools
hovertool = HoverTool(tooltips=[("intensity", "@image"), ("h", "@h"), ("k", "@k"), ("l", "@l")])
hovertool = HoverTool(
tooltips=[
("intensity", "@image"),
("gamma", "@gamma"),
("nu", "@nu"),
("h", "@h"),
("k", "@k"),
("l", "@l"),
]
)
box_edit_source = ColumnDataSource(dict(x=[], y=[], width=[], height=[]))
box_edit_glyph = Rect(
@ -504,3 +522,18 @@ def calculate_hkl(det_data, index, setup_type="nb_bi"):
)
return h, k, l
def calculate_pol(det_data, index):
gamma = np.empty(shape=(IMAGE_H, IMAGE_W))
nu = np.empty(shape=(IMAGE_H, IMAGE_W))
ddist = det_data["ddist"]
gammad = det_data["pol_angle"][index]
nud = det_data["tlt_angle"]
for xi in np.arange(IMAGE_W):
for yi in np.arange(IMAGE_H):
gamma[yi, xi], nu[yi, xi] = pyzebra.det2pol(ddist, gammad, nud, xi, yi)
return gamma, nu