def prediction(image):
model = load_model(model_path)
img = load_img(image, target_size=(img_height, img_width))
img = img_to_array(img)
prediction = model.predict_classes(img)
x = labels
y = list(prediction)
output_file("plots.html")
# displaying the image
url = str(image)
source = ColumnDataSource(data=dict(url=url))
p1 = Figure(x_range=(0, 1),
y_range=(0, 1),
plot_width=600,
plot_height=400)
p1.image_url(url='url', x=0, y=1, h=1, w=1, source=source)
# plotting the barplot
source = ColumnDataSource(data=dict(x=x, y=y, color=Spectral6))
p2 = Figure(x_range=labels,
y_range=(0, 1),
plot_height=400,
plot_width=600,
title="Class Probabilites")
p2.vbar(x='x', y='y', width=0.9, color='color', legend='x', source=source)
# layout
grid = gridplot([[p1, p2]])
show(grid)
def _add_image(plot: Figure, image: str):
"""Add an image to the background of the plot.
Args:
plot (Figure): Plot to add this image to.
image (str): Path to image.
"""
plot.image_url(url=[image],
x=plot.x_range.start,
y=plot.y_range.end,
w=plot.x_range.end - plot.x_range.start,
h=plot.y_range.end - plot.y_range.start,
level=IMAGE_LEVEL)
def createBackground(bg_path):
# Define plot
print "Initializing plot"
p = Figure(
tools=['xpan'], #¤, _createHoverTool()],
width=1587,
height=266,
x_range=(0, 1527),
y_range=(0, 206),
min_border=30)
# Draw image on background
p.image_url(url=[bg_path], x=0, y=206, w=1527, h=207)
return p
line_width=2)
# this is not currently being used - it is intended to show the image of each system
plot2 = Figure(plot_height=800,
plot_width=800,
x_axis_type=None,
y_axis_type=None,
tools="pan,reset,save,tap,box_zoom,wheel_zoom",
outline_line_color='white',
x_range=[-50, 50],
y_range=[-50, 50],
toolbar_location='right',
border_fill_color='white',
background_fill_color='white')
image1 = 'http://www.stsci.edu/~tumlinso/stark_luvoir_yields/tumlinson-multiplanet_results-12.0_1.00E-10_0.10_3.0/HIP_9829.png'
plot2.image_url(url=[image1], x=[-50], y=[50], w=100, h=130)
def SelectCallback(attrname, old, new):
inds = np.array(
new['1d']['indices']
)[0] # this miraculously obtains the index of the slected star within the star_syms CDS
star_yield_label.data['labels'] = [str(star_points.data['complete0'][inds])[0:6], \
str(star_points.data['complete1'][inds])[0:6], \
str(star_points.data['complete2'][inds])[0:6], \
str(star_points.data['complete3'][inds])[0:6], \
str(star_points.data['complete4'][inds])[0:6], \
str(star_points.data['complete5'][inds])[0:6], \
str(star_points.data['complete6'][inds])[0:6], \
str(star_points.data['complete7'][inds])[0:6], \
str(star_points.data['complete8'][inds])[0:6], \
)
) # .loc[recdf.index]
# print source
hover = HoverTool(tooltips=[("Niche Score", "@NicheScore"), ("Price", "@Price")]) # ("Area", "@Neighborhood"),
tools = [PanTool(), BoxZoomTool(), WheelZoomTool(), ResetTool(), hover, PreviewSaveTool()]
p = Figure(title="NicheLife Map", plot_width=800, plot_height=700, tools=tools)
# tools="pan,wheel_zoom,reset,box_zoom,save") # toolbar_location="top", #box_select,
p.grid.grid_line_alpha = 0
p.patches("ct_x", "ct_y", source=source, fill_color="QI_colmap", fill_alpha=0.7, line_color="white", line_width=0.5)
# image1 = ImageURL(url=source.data["image"], x=-74.04, y=40.85)
# p.add_glyph(source, image1)
p.image_url(url=imageurl, x="-74.04", y="40.85")
# Set up widgets
text = TextInput(title="Map Name", value="NicheLife Map")
feature1 = Slider(title="Subway Accessibility", value=0.5, start=0, end=1, step=0.1)
feature2 = Slider(title="Safety", value=0.5, start=0, end=1, step=0.1)
feature3 = Slider(title="Public Satisfaction", value=0.5, start=0, end=1, step=0.1)
feature4 = Slider(title="Restaurants", value=0.5, start=0, end=1, step=0.1)
feature5 = Slider(title="Grocery Stores", value=0.5, start=0, end=1, step=0.1)
feature6 = Slider(title="Nightlife", value=0.5, start=0, end=1, step=0.1)
price = Select(title="Show Affordability", options=["Yes", "No"])
# Set up callbacks
def update_title(attrname, old, new):
data=dict(x=cluster_xcoords, y=cluster_ycoords, vmax=cluster_vmax, mass=cluster_masses, scatter=scatter_term, \
vmax_up_error=vmax_up_error, vmax_down_error=vmax_down_error))
# Set up plot
box_select = BoxSelectTool()
plot1 = Figure(plot_height=500,
plot_width=770,
x_axis_type=None,
y_axis_type=None,
tools=["pan,reset,tap,wheel_zoom,save", box_select],
x_range=[-75, 75],
y_range=[-50, 50],
toolbar_location='left')
plot1.image_url(url=["http://luvoir.stsci.edu/M83.jpeg"],
x=[-75],
y=[50],
w=150,
h=100)
plot1.x_range = Range1d(-75, 75, bounds=(-75, 75))
plot1.y_range = Range1d(-50, 50, bounds=(-50, 50))
shutters = plot1.square('x',
'y',
source=shutter_positions,
fill_color='yellow',
fill_alpha=0.2,
line_color=None,
size=20,
name="my_shutters")
shutters.selection_glyph = Square(fill_alpha=0.5,
fill_color="green",
line_color='green',
