def layout_padding(plots):
"""
Temporary workaround to allow empty plots in a
row of a bokeh GridPlot type. Should be removed
when https://github.com/bokeh/bokeh/issues/2891
is resolved.
"""
widths, heights = defaultdict(int), defaultdict(int)
for r, row in enumerate(plots):
for c, p in enumerate(row):
if p is not None:
width = p.plot_width if isinstance(p, Plot) else p.width
height = p.plot_height if isinstance(p, Plot) else p.height
widths[c] = max(widths[c], width)
heights[r] = max(heights[r], height)
expanded_plots = []
for r, row in enumerate(plots):
expanded_plots.append([])
for c, p in enumerate(row):
if p is None:
p = Figure(plot_width=widths[c],
plot_height=heights[r])
p.text(x=0, y=0, text=[' '])
p.xaxis.visible = False
p.yaxis.visible = False
p.outline_line_color = None
p.xgrid.grid_line_color = None
p.ygrid.grid_line_color = None
expanded_plots[r].append(p)
return expanded_plots
("R.A. (deg)", "@ra{1.111}"),
("Dec. (deg)", "@dec{1.111}"),
("Claimed type", "@claimedtype")
]
hover = HoverTool(tooltips=tt)
p1 = Figure(title='Supernova Positions', x_axis_label='Right Ascension (deg)',
# responsive = True,
y_axis_label='Declination (deg)', tools=tools, plot_width=980,
plot_height=720,
x_range=(-1.05 * (2.0**1.5), 1.3 * 2.0**1.5),
y_range=(-2.0 * sqrt(2.0), 1.2 * sqrt(2.0)),
min_border_bottom=0,
min_border_left=0, min_border=0)
p1.axis.visible = None
p1.outline_line_color = None
p1.xgrid.grid_line_color = None
p1.ygrid.grid_line_color = None
p1.title.text_font_size = '20pt'
raxs = []
rays = []
for rg in ragrid:
raxs.append([2.0**1.5 * cos(x) * sin(rg / 2.0) /
sqrt(1.0 + cos(x) * cos(rg / 2.0)) for x in decrange])
rays.append([sqrt(2.0) * sin(x) / sqrt(1.0 + cos(x) * cos(rg / 2.0))
for x in decrange])
decxs = []
decys = []
for dg in decgrid:
freq_bars = plot.quad(top='hist', bottom=0, left='left_edge', right='right_edge',
source=source, fill_color=YlOrBr3[0], line_color='#000000')
plot.xaxis.axis_label = "Total Score"
plot.xaxis.axis_line_color = None
plot.xaxis.minor_tick_line_color = None
plot.yaxis.axis_label = "Frequency"
plot.yaxis.axis_line_color = None
plot.yaxis.major_tick_line_color = None
plot.yaxis.minor_tick_line_color = None
plot.xgrid.grid_line_color = None
plot.ygrid.grid_line_color = None
plot.outline_line_color = None
plot.logo = None
bar_hover = HoverTool(renderers=[freq_bars], tooltips=[("Range", '@left_edge to @right_edge'),
("Frequency", '@hist'), ("Total # Samples", '@samples')])
plot.add_tools(bar_hover)
# Dropdown and interactive UI elements
selectable_years = ["All Years"] + list(map(str, compdata['Year'].unique()))
selectable_events = ["All Events"] + [event.replace(' Score', '') for event in compdata.columns.values.tolist()[5:13]]
select_year = Select(title="Year", value="All Years", options=selectable_years)
select_event = Select(title="Event", value="All Events", options=selectable_events)
fill_alpha=0,
size=20)
plot.square(x='x', y='y', source=col4.square, color='black', size=20)
# Plot buckling lenghts
plot.line(x='x', y='y', source=col1.sk, color='#A2AD00', line_width=2)
plot.line(x='x', y='y', source=col2.sk, color='#A2AD00', line_width=2)
plot.line(x='x', y='y', source=col3.sk, color='#A2AD00', line_width=2)
plot.line(x='x', y='y', source=col4.sk, color='#A2AD00', line_width=2)
#Main plot properties:
plot.axis.visible = False
plot.grid.visible = False
plot.toolbar.logo = None
plot.outline_line_width = 1
plot.outline_line_alpha = 0.5
plot.outline_line_color = "Black"
plot.title.text_font_size = "18pt"
plot.width = 900
#Labels section:
# F and column name
labels1 = LatexLabelSet(x='x',
y='y',
text='name',
level='glyph',
x_offset=-20,
y_offset=0,
source=col1.labels,
render_mode='canvas')
labels2 = LatexLabelSet(x='x',
y='y',
("R.A. (deg)", "@ra{1.111}"),
("Dec. (deg)", "@dec{1.111}")
]
if args.catalog == 'hvs':
tt.append(("R.A. proper motion (mas/yr)", "@propermotionra"))
tt.append(("Dec. proper motion (mas/yr)", "@propermotiondec"))
tt.append(("Radial velocity (km/s)", "@velocity"))
tt.append(("Galactocentric velocity (km/s)", "@galactocentricvelocity"))
tt.append(("Bound probability", "@boundprobability"))
p1 = Figure(title=moduletitle + ' Positions',
# responsive = True,
tools=tools, plot_width=990,
x_range=(-1.05 * (2.0**1.5), 1.05 * 2.0**1.5),
y_range=(-1.4 * sqrt(2.0), 1.0 * sqrt(2.0)))
p1.axis.visible = False
p1.outline_line_color = None
p1.xgrid.grid_line_color = None
p1.ygrid.grid_line_color = None
p1.title.text_font_size = '20pt'
p1.title.align = 'center'
raxs = []
rays = []
for rg in ragrid:
raxs.append([2.0**1.5 * cos(x) * sin(rg / 2.0) /
sqrt(1.0 + cos(x) * cos(rg / 2.0)) for x in decrange])
rays.append([sqrt(2.0) * sin(x) / sqrt(1.0 + cos(x) * cos(rg / 2.0))
for x in decrange])
p1.multi_line(raxs, rays, color='#bbbbbb')
def plot_amp(self,
dz,
refexp,
name="",
font_size="1.2vw",
description="",
wrg=[]):
''' Initializing AMP plot
'''
ztext, cbarformat = self.set_amp(dz)
dx = [0, 1, 0, 1]
dy = [1, 1, 0, 0]
cmap_tooltip = """
<div>
<div>
<span style="font-size: 1vw; font-weight: bold; color: #303030;">AMP: </span>
<span style="font-size: 1vw; color: #515151;">@amp_number</span>
</div>
<div>
<span style="font-size: 1vw; font-weight: bold; color: #303030;">counts: </span>
<span style="font-size: 1vw; color: #515151">@ztext</span>
</div>
<div>
<span style="font-size: 1vw; font-weight: bold; color: #303030;">Reference: </span>
<span style="font-size: 1vw; color: #515151;">@ref</span>
</div>
</div>
""".replace("counts:",
name.replace("_AMP", "") + ":")
hover = HoverTool(tooltips=cmap_tooltip)
p = Figure(title=name,
tools=[hover],
x_range=list([-0.5, 1.5]),
y_range=list([-0.5, 1.5]),
plot_width=450,
plot_height=400)
p.xaxis.axis_label_text_font_size = font_size
p.legend.label_text_font_size = font_size
p.title.text_font_size = font_size
p.xaxis.axis_label = description
cmap = get_palette("RdBu_r")
mapper = LinearColorMapper(palette=cmap,
low=wrg[0],
high=wrg[1],
nan_color="darkgrey")
formatter = PrintfTickFormatter(format=cbarformat)
color_bar = ColorBar(color_mapper=mapper,
major_label_text_align='left',
major_label_text_font_size='10pt',
label_standoff=2,
location=(0, 0),
formatter=formatter,
title="(Val-Ref)",
title_standoff=15,
title_text_baseline="alphabetic")
p.add_layout(color_bar, 'right')
p.grid.grid_line_color = None
p.outline_line_color = None
p.axis.clear
p.axis.minor_tick_line_color = None
p.axis.major_label_text_font_size = '0pt'
p.yaxis.major_label_text_font_size = '0pt'
p.xaxis.major_tick_line_color = None
p.xaxis.minor_tick_line_color = None
p.yaxis.major_tick_line_color = None
p.yaxis.minor_tick_line_color = None
p.yaxis.visible = False
p.xaxis.visible = True
zvalid = [x if x > -999 else np.nan for x in dz]
source = ColumnDataSource(data=dict(
x=dx,
y=dy,
z=dz,
zvalid=zvalid,
ref=["{:.2f}".format(x) for x in refexp],
zdiff=np.array(zvalid) - np.array(refexp),
y_offset1=[i + 0.15 for i in dy],
y_offset2=[i - 0.10 for i in dy],
amp=['AMP %s' % i for i in range(1, 5)],
amp_number=['%s' % i for i in range(1, 5)],
ztext=ztext,
))
text_props = {
"source": source,
"angle": 0,
"color": "black",
"text_color": "black",
"text_align": "center",
"text_baseline": "middle"
}
p.rect("x",
"y",
.98,
.98,
0,
source=source,
fill_color={
'field': 'zdiff',
'transform': mapper
},
fill_alpha=0.9)
p.text(x="x",
y="y_offset1",
text="amp",
text_font_size="2vw",
**text_props)
p.text(x="x",
y="y_offset2",
text="ztext",
text_font_style="bold",
text_font_size="2.5vw",
**text_props)
return p
fill_color='OliveDrab',
line_color='#000000')
plot.xaxis.axis_label = "Weight [kg]"
plot.xaxis.axis_line_color = None
plot.xaxis.minor_tick_line_color = None
plot.yaxis.axis_label = "Frequency"
plot.yaxis.axis_line_color = None
plot.yaxis.major_tick_line_color = None
plot.yaxis.minor_tick_line_color = None
plot.xgrid.grid_line_color = None
plot.ygrid.grid_line_color = None
plot.outline_line_color = None
plot.logo = None
bar_hover = HoverTool(renderers=[freq_bars],
tooltips=[("Range", '@left_edge to @right_edge'),
("Frequency", '@hist'),
("Total # Samples", '@samples')])
plot.add_tools(bar_hover)
# Dropdown and interactive UI elements
selectable_years = compdata.loc[compdata['Year'] >= 2013]
selectable_years = ["All Years"] + list(
map(str, selectable_years['Year'].unique()))
select_year = Select(title="Year",
def _segment_plot(self, source):
"""Plot showing the mirror segments.
The plot shows the 91 segment positions with their position number. The colour of the segments indicates how
long ago they have been recoated.
Params:
-------
source: pandas.DataFrame
Data source.
Returns:
--------
bokeh.plotting.Figure
Plot showing the mirror segments.
"""
def segment_color(date):
"""Fill colour of a mirror segment."""
days = (datetime.datetime.now().date() - date).days
days = min(days, self.RECOATING_PERIOD)
days = max(days, 0)
def hex_value(v):
"""Convert integer into a hexadecimal string suitable for specifying an RGB value in a css rule."""
s = format(int(round(255 * v)), 'x')
if len(s) < 2:
s = '0' + s
return s
# The colour ranges from dark green for recently recoated segments to white for segments which need to be
# recoated.
h = 99
s = 100
l = 33 + 67 * days / self.RECOATING_PERIOD
rgb = colorsys.hls_to_rgb(h / 360, l / 100, s / 100)
return '#{r}{g}{b}'.format(r=hex_value(rgb[0]),
g=hex_value(rgb[1]),
b=hex_value(rgb[2]))
plot = Figure(tools='tap', toolbar_location=None)
colors = [segment_color(d) for d in source.data['ReplacementDate']]
plot.patches(xs='SegmentPositionCornerXs',
ys='SegmentPositionCornerYs',
source=source,
color=colors,
line_color='#dddddd')
plot.text(x='SegmentPositionX',
y='SegmentPositionY',
text='SegmentPosition',
source=source,
text_color='black',
text_align='center',
text_baseline='middle')
plot.grid.grid_line_color = None
plot.axis.visible = False
plot.min_border_top = 20
plot.min_border_bottom = 30
plot.outline_line_color = None
return plot
