def create_bar_chart(data,
title,
x_name,
y_name,
hover_tool=None,
width=1100,
height=400):
"""Creates a bar chart plot with the exact styling for the centcom
dashboard. Pass in data as a dictionary, desired plot title,
name of x axis, y axis and the hover tool HTML.
"""
source = ColumnDataSource(data)
xdr = FactorRange(factors=list(data[x_name]))
ydr = Range1d(start=0, end=max(data[y_name]) * 1.05)
tools = []
if hover_tool:
tools = [
hover_tool,
]
plot = figure(title=title,
x_range=xdr,
y_range=ydr,
plot_width=width,
plot_height=height,
min_border=0,
toolbar_location="above",
tools=tools,
outline_line_color="#666666")
glyph = VBar(x=x_name,
top=y_name,
bottom=0,
width=.8,
fill_color="#ffdf00")
plot.add_glyph(source, glyph)
plot.add_tools(WheelZoomTool())
plot.add_tools(BoxZoomTool())
plot.add_tools(ZoomOutTool())
xaxis = LinearAxis()
yaxis = LinearAxis()
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
plot.toolbar.logo = None
plot.min_border_top = 0
plot.xgrid.grid_line_color = None
plot.ygrid.grid_line_color = "#999999"
plot.yaxis.axis_label = "Weight"
plot.ygrid.grid_line_alpha = 0.1
plot.xaxis.axis_label = "Grouping"
plot.xaxis.major_label_orientation = 1
return plot
def __init__(self, dataset, parameters):
self.dataset = dataset
# Set up the controls
self.specials = Selector(
name="Specials",
kind="specials",
css_classes=["specials"],
entries={
"Color-magnitude diagram": "cmd",
"Period vs. radius": "pr",
"Period vs. transit duration": "pdt",
},
default="Color-magnitude diagram",
)
self.data = Selector(
name="Datasets",
kind="datasets",
css_classes=["data"],
entries={"TOI Catalog": "toi", "Confirmed Planets": "confirmed"},
default="Confirmed Planets",
)
self.xaxis = Selector(
name="Build-Your-Own",
kind="parameters",
css_classes=["build-your-own"],
entries=parameters,
default="ra",
title="X Axis",
)
self.yaxis = Selector(
kind="parameters",
css_classes=["build-your-own"],
entries=parameters,
default="dec",
title="Y Axis",
)
self.size = Selector(
name="Sides",
kind="parameters",
css_classes=["sides"],
entries=parameters,
default="dist",
title="Marker Size",
none_allowed=True,
)
self.color = Selector(
kind="parameters",
css_classes=["sides"],
entries=parameters,
default="dist",
title="Marker Color",
none_allowed=True,
)
# Set up the plot
self.source = ColumnDataSource(
data=dict(x=[], y=[], size=[], color=[])
)
self.plot = figure(
plot_height=600,
plot_width=700,
title="",
tooltips=[("TIC ID", "@ticid")],
sizing_mode="scale_both",
)
self.plot.circle(
x="x",
y="y",
source=self.source,
size="size",
color=linear_cmap(
field_name="color", palette=Viridis256, low=0, high=1
),
line_color=None,
)
self.plot.add_tools(
BoxSelectTool(),
BoxZoomTool(),
LassoSelectTool(),
PanTool(),
PolySelectTool(),
TapTool(),
WheelZoomTool(),
WheelPanTool(),
ZoomInTool(),
ZoomOutTool(),
HoverTool(),
CrosshairTool(),
ResetTool(),
)
# Register the callback
for control in [
self.specials,
self.data,
self.xaxis,
self.yaxis,
self.size,
self.color,
]:
control.widget.on_change("value", self.callback)
# Load and display the data
self.callback(None, None, None)
def create_NAM_graph(df):
source = ColumnDataSource(df)
# Create plot 1
y_overlimit = 0.05
p1 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
if len(df) > 65:
p1.title.text = '10 Day Temperature'
else:
p1.title.text = '3.5 Day Temperature'
p1.xaxis.axis_label = 'Date/Time'
p1.yaxis.axis_label = 'Temperature \N{DEGREE SIGN}C'
# add lines
glyph_1 = p1.line(x='DATETIME',
y='TMP',
source=source,
color='OrangeRed',
line_width=1.5)
glyph_1a = p1.scatter(x='DATETIME',
y='TMP',
source=source,
line_color="darkRed",
fill_color="OrangeRed",
size=4)
p1.y_range = Range1d(df['TMP'].min() * (1 - y_overlimit),
df['TMP'].max() * (1 + y_overlimit))
# SECOND AXIS
y_column2_range = "HGT_0C_DB" + "_range"
p1.extra_y_ranges = {
y_column2_range:
Range1d(start=df['HGT_0C_DB'].min() * (1 - y_overlimit),
end=df['HGT_0C_DB'].max() * (1 + y_overlimit))
}
p1.add_layout(
LinearAxis(y_range_name=y_column2_range, axis_label='Elevation (m)'),
"right")
# add lines
glyph_2 = p1.line(x='DATETIME',
y="HGT_0C_DB",
source=source,
line_width=1.5,
y_range_name=y_column2_range,
color="gold")
glyph_2a = p1.scatter(x='DATETIME',
y='HGT_0C_DB',
source=source,
y_range_name=y_column2_range,
line_color="goldenrod",
fill_color="gold",
size=4)
# tools
hover1a = HoverTool(renderers=[glyph_1],
tooltips=[('\N{DEGREE SIGN}C', '@TMP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
hover1b = HoverTool(renderers=[glyph_2],
tooltips=[('m', '@HGT_0C_DB'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p1.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p1.toolbar.logo = None
p1.toolbar.active_drag = None
p1.toolbar.active_scroll = None
p1.toolbar.active_tap = None
p1.add_tools(hover1a, hover1b)
# legend 1
legend = Legend(items=[("Temp", [glyph_1, glyph_1a]),
("Frz Lvl", [glyph_2, glyph_2a])],
location="center",
orientation="horizontal")
p1.add_layout(legend, 'below')
# create tab from plot
tab1 = Panel(child=p1, title="Temperature")
# create plot 2
p2 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
if len(df) > 65:
p2.title.text = '10 Day Precipitation'
else:
p2.title.text = '3.5 Day Precipitation'
p2.xaxis.axis_label = 'Date/Time'
p2.yaxis.axis_label = 'Amount (mm/cm)'
# add lines
glyph_1 = p2.line(x='DATETIME',
y='RQP',
source=source,
color='blue',
line_width=1.5)
glyph_1a = p2.scatter(x='DATETIME',
y='RQP',
source=source,
line_color="darkblue",
fill_color="blue",
size=4)
glyph_2 = p2.line(x='DATETIME',
y='SQP',
source=source,
color='lavender',
line_width=1.5)
glyph_2a = p2.scatter(x='DATETIME',
y='SQP',
source=source,
line_color="lightsteelblue",
fill_color="lavender",
size=4)
p2.varea(x='DATETIME',
y1='SQP',
source=source,
color='GhostWhite',
alpha=0.5)
band = Band(base='DATETIME',
upper='RQP',
source=source,
level='overlay',
fill_alpha=0.3,
fill_color='SkyBlue')
p2.add_layout(band)
# tools
hover2a = HoverTool(renderers=[glyph_1],
tooltips=[('mm Rain', '@RQP'),
('mm Freezing Rain', '@FQP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
hover2b = HoverTool(renderers=[glyph_2],
tooltips=[('cm Snow', '@SQP'), ('mm Ice/Hail', '@IQP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p2.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p2.toolbar.logo = None
p2.toolbar.active_drag = None
p2.toolbar.active_scroll = None
p2.toolbar.active_tap = None
p2.add_tools(hover2a, hover2b)
# legend 2
legend = Legend(items=[("Rain", [glyph_1, glyph_1a]),
("Snow", [glyph_2, glyph_2a])],
location="center",
orientation="horizontal")
p2.add_layout(legend, 'below')
# create tab from plot
tab2 = Panel(child=p2, title="Precipitation")
# plot 3
p3 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
if len(df) > 65:
p1.title.text = '10 Day Wind/Cloud'
else:
p1.title.text = '3.5 Day Wind/Cloud'
p3.xaxis.axis_label = 'Date/Time'
p3.yaxis.axis_label = 'Speed (km/h) / % Coverage'
# add lines
glyph_1 = p3.line(x='DATETIME',
y='WS',
source=source,
color='green',
line_width=1.5)
glyph_1a = p3.scatter(x='DATETIME',
y='WS',
source=source,
line_color="darkgreen",
fill_color="green",
size=4)
glyph_2 = p3.line(x='DATETIME',
y='CLOUD',
source=source,
color='grey',
line_width=1.5)
glyph_2a = p3.scatter(x='DATETIME',
y='CLOUD',
source=source,
line_color="darkgrey",
fill_color="grey",
size=4)
band = Band(base='DATETIME',
upper='CLOUD',
source=source,
level='underlay',
fill_alpha=0.3,
fill_color='lightgrey')
p3.add_layout(band)
# tools
hover3a = HoverTool(renderers=[glyph_1],
tooltips=[('Wind Speed', '@WS'),
('Wind Direction', '@WD'), ('Gusts', '@WG'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
hover3b = HoverTool(renderers=[glyph_2],
tooltips=[('% Coverage', '@CLOUD'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p3.toolbar.logo = None
p3.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p3.toolbar.active_drag = None
p3.toolbar.active_scroll = None
p3.toolbar.active_tap = None
p3.add_tools(hover3a, hover3b)
# legend 3
legend = Legend(items=[("Wind", [glyph_1, glyph_1a]),
("Cloud", [glyph_2, glyph_2a])],
location="center",
orientation="horizontal")
p3.add_layout(legend, 'below')
# tab from plot
tab3 = Panel(child=p3, title="Wind/Cloud")
# merge tabs into one plot
plot = Tabs(tabs=[tab1, tab2, tab3])
# return plot
html = file_html(plot, CDN)
return html
def create_HRDPS_graph(df):
source = ColumnDataSource(df)
# create plot 1
p1 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
p1.title.text = '48H Temperature'
p1.xaxis.axis_label = 'Date/Time'
p1.yaxis.axis_label = 'Temperature \N{DEGREE SIGN}C'
# add lines
glyph_1 = p1.line(x='DATETIME',
y='TMP',
source=source,
color='OrangeRed',
line_width=1.5)
glyph_1a = p1.scatter(x='DATETIME',
y='TMP',
source=source,
line_color="darkRed",
fill_color="OrangeRed",
size=4)
# tools
hover1 = HoverTool(renderers=[glyph_1],
tooltips=[('\N{DEGREE SIGN}C', '@TMP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p1.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p1.toolbar.logo = None
p1.toolbar.active_drag = None
p1.toolbar.active_scroll = None
p1.toolbar.active_tap = None
p1.add_tools(hover1)
# legend 1
legend = Legend(items=[("Temp", [glyph_1, glyph_1a])],
location="center",
orientation="horizontal")
p1.add_layout(legend, 'below')
# create tab from plot
tab1 = Panel(child=p1, title="Temperature")
# create plot 2
p2 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
p2.title.text = '48H Precipitation'
p2.xaxis.axis_label = 'Date/Time'
p2.yaxis.axis_label = 'Amount (mm/cm)'
# Add lines
glyph_1 = p2.line(x='DATETIME',
y='RQP',
source=source,
color='blue',
line_width=1.5)
glyph_1a = p2.scatter(x='DATETIME',
y='RQP',
source=source,
line_color="darkblue",
fill_color="blue",
size=4)
glyph_2 = p2.line(x='DATETIME',
y='SQP',
source=source,
color='lavender',
line_width=1.5)
glyph_2a = p2.scatter(x='DATETIME',
y='SQP',
source=source,
line_color="lightsteelblue",
fill_color="lavender",
size=4)
p2.varea(x='DATETIME',
y1='SQP',
source=source,
color='GhostWhite',
alpha=0.5)
band = Band(base='DATETIME',
upper='RQP',
source=source,
level='overlay',
fill_alpha=0.3,
fill_color='SkyBlue')
p2.add_layout(band)
# tools
hover2a = HoverTool(renderers=[glyph_1],
tooltips=[('mm Rain', '@RQP'),
('mm Freezing Rain', '@FQP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
hover2b = HoverTool(renderers=[glyph_2],
tooltips=[('cm Snow', '@SQP'), ('mm Ice/Hail', '@IQP'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p2.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p2.toolbar.logo = None
p2.toolbar.active_drag = None
p2.toolbar.active_scroll = None
p2.toolbar.active_tap = None
p2.add_tools(hover2a, hover2b)
# legend 2
legend = Legend(items=[("Rain", [glyph_1, glyph_1a]),
("Snow", [glyph_2, glyph_2a])],
location="center",
orientation="horizontal")
p2.add_layout(legend, 'below')
# Create tab from plot
tab2 = Panel(child=p2, title="Precipitation")
# create plot 3
p3 = figure(x_axis_type='datetime',
plot_width=600,
plot_height=400,
toolbar_location='above',
sizing_mode='scale_width')
p3.title.text = '48H Wind/Cloud'
p3.xaxis.axis_label = 'Date/Time'
p3.yaxis.axis_label = 'Speed (km/h) / % Coverage'
# Add lines
glyph_1 = p3.line(x='DATETIME',
y='WS',
source=source,
color='green',
line_width=1.5)
glyph_1a = p3.scatter(x='DATETIME',
y='WS',
source=source,
line_color="darkgreen",
fill_color="green",
size=4)
glyph_2 = p3.line(x='DATETIME',
y='CLOUD',
source=source,
color='grey',
line_width=1.5)
glyph_2a = p3.scatter(x='DATETIME',
y='CLOUD',
source=source,
line_color="darkgrey",
fill_color="grey",
size=4)
band = Band(base='DATETIME',
upper='CLOUD',
source=source,
level='underlay',
fill_alpha=0.3,
fill_color='lightgrey')
p3.add_layout(band)
# tools
hover3a = HoverTool(renderers=[glyph_1],
tooltips=[('Wind Speed', '@WS'),
('Wind Direction', '@WD'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
hover3b = HoverTool(renderers=[glyph_2],
tooltips=[('% Coverage', '@CLOUD'),
('Time', '@DATETIME{%F %T}')],
formatters={'@DATETIME': 'datetime'},
mode='vline')
p3.tools = [ZoomInTool(), ZoomOutTool(), PanTool(), ResetTool()]
p3.toolbar.logo = None
p3.toolbar.active_drag = None
p3.toolbar.active_scroll = None
p3.toolbar.active_tap = None
p3.add_tools(hover3a, hover3b)
# legend 3
legend = Legend(items=[("Wind", [glyph_1, glyph_1a]),
("Cloud", [glyph_2, glyph_2a])],
location="center",
orientation="horizontal")
p3.add_layout(legend, 'below')
# Create tab from plot
tab3 = Panel(child=p3, title="Wind/Cloud")
# merge to final plot
plot = Tabs(tabs=[tab1, tab2, tab3])
# return graph
html = file_html(plot, CDN)
return html
TableColumn(field="koi_score",
title="Disp Score",
formatter=NumberFormatter(format="0.00"))
]
# Make the bokeh data table
data_table = DataTable(source=source,
columns=columns,
height=300,
width=1000)
# Do the Figure initially it is log period vs log planet radius
# Include hovertool
hover = HoverTool(tooltips=[("KOI", "@koi_number{0.00}")])
data_figure = figure(height=600, width=1000,x_axis_label='Log Period [Day]', \
y_axis_label='Log Rp [Rearth]', tools=[hover, TapTool(), BoxZoomTool(), PanTool(), ZoomOutTool(), ZoomInTool(), ResetTool(), SaveTool()])
data_figure.axis.axis_line_width = 3
circle_handle = data_figure.circle(x='Logkoi_period',
y='Logkoi_prad',
source=source,
size=10)
data_figure.axis.axis_label_text_font_size = "20pt"
data_figure.axis.major_label_text_font_size = "15pt"
data_figure.axis.major_tick_line_width = 3
xAxisHandle = data_figure.axis[0]
yAxisHandle = data_figure.axis[1]
# Include tap tool to open url with click on point
taptool = data_figure.select(type=TapTool)
taptool.callback = OpenURL(url="@koi_url")
# START JAVASCRIPT literal code for handling figure data axis change