def population_plot(title="Default", year="2015", location="World"):
"""About page."""
login_form = LoginForm(request.form)
id = bkutil.session_id.generate_session_id(signed=True)
session = bkclient.pull_session(session_id=id,
url=bokeh_app_url('population'))
print("Session id is: {}".format(session.id))
app_param = session.document.get_model_by_name("app_param")
# as soon we change data from app_param the plot is updated
app_param.data['year'] = [year]
app_param.data['location'] = [location]
html = """
<div id="population-plot">
{F}
</div>
""".format(F=bkembed.autoload_server(
model=None, session_id=session.id, url=bokeh_app_url('population')))
plot = {"plot1": html}
df = load_population()
years = [str(x) for x in sorted(df.Year.unique())]
locations = sorted(df.Location.unique())
return render_template('public/population_plot.html',
form=login_form,
plot=plot,
subnav=PLOTS_SUBNAV(),
session_id=id,
years=years,
default_year=year,
locations=locations,
default_location=location)
def __init__(self, document):
self.document = document
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
# just render at the initialization
self._render()
def __init__(self, document):
self.document = document
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
# just render at the initialization
self._render()
def __init__(self):
from bokeh.document import Document
from bokeh.client import push_session
from bokeh.models import ColumnDataSource
from bokeh.sampledata.population import load_population
self.document = Document()
self.session = push_session(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
def __init__(self):
from bokeh.document import Document
from bokeh.client import push_session
from bokeh.models import ColumnDataSource
from bokeh.sampledata.population import load_population
self.document = Document()
self.session = push_session(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
def __init__(self):
from bokeh.objects import ColumnDataSource
from bokeh.document import Document
from bokeh.session import Session
from bokeh.sampledata.population import load_population
self.document = Document()
self.session = Session()
self.session.use_doc('population_reveal')
self.session.load_document(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
def __init__(self):
from bokeh.document import Document
from bokeh.session import Session
from bokeh.models import ColumnDataSource
from bokeh.sampledata.population import load_population
self.document = Document()
self.session = Session()
self.session.use_doc('population')
self.session.load_document(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
def __init__(self):
from bokeh.models import ColumnDataSource
from bokeh.document import Document
from bokeh.session import Session
from bokeh.sampledata.population import load_population
self.document = Document()
self.session = Session()
self.session.use_doc('population_reveal')
self.session.load_document(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
# just render at the initialization
self._render()
def __init__(self):
from bokeh.models import ColumnDataSource
from bokeh.document import Document
# from bokeh.session import Session
from bokeh.sampledata.population import load_population
self.document = curdoc() #Document()
self.session = session
# self.session = Session()
# self.session.use_doc('population_reveal')
# self.session.load_document(self.document)
self.df = load_population()
self.source_pyramid = ColumnDataSource(data=dict())
# just render at the initialization
self._render()
def __init__(self, *args, **kwargs):
self._df = load_population()
self._revision = 2012
self._year = 2010
self._location = "World"
self._years = [str(x) for x in sorted(self._df.Year.unique())]
self._locations = sorted(self._df.Location.unique())
self._source_pyramid = ColumnDataSource(data=dict())
self._source_known = ColumnDataSource(data=dict(x=[], y=[]))
self._source_predicted = ColumnDataSource(data=dict(x=[], y=[]))
#self._pyramid_plot = PyramidPlot(source=self._source_pyramid,name='bk-pyramid')
self.update_data()
kwargs["children"] = [self.layout()]
#kwargs["children"] = list()
#kwargs["children"] = list(self.layout)
super(Population, self).__init__()
self.children.append(self.layout())
from bokeh.client import push_session
from bokeh.document import Document
from bokeh.models.glyphs import Line, Quad
from bokeh.models import (
Plot, ColumnDataSource, DataRange1d, FactorRange,
LinearAxis, CategoricalAxis, Grid, Legend,
SingleIntervalTicker
)
from bokeh.sampledata.population import load_population
from bokeh.models.widgets import Select
from bokeh.models.layouts import WidgetBox, Column
document = Document()
session = push_session(document)
df = load_population()
revision = 2012
year = 2010
location = "World"
years = [str(x) for x in sorted(df.Year.unique())]
locations = sorted(df.Location.unique())
source_pyramid = ColumnDataSource(data=dict())
def pyramid():
xdr = DataRange1d()
ydr = DataRange1d()
plot = Plot(title=None, x_range=xdr, y_range=ydr, plot_width=600, plot_height=600, toolbar_location=None)
from numpy import pi
from bokeh.client import push_session
from bokeh.document import Document
from bokeh.embed import autoload_server
from bokeh.layouts import row, column
from bokeh.models import (Plot, DataRange1d, LinearAxis, CategoricalAxis,
Legend, ColumnDataSource, Grid, Line,
SingleIntervalTicker, Quad, Select, FactorRange)
from bokeh.sampledata.population import load_population
document = Document()
session = push_session(document)
df = load_population()
revision = 2012
year = 2010
location = "World"
years = [str(x) for x in sorted(df.Year.unique())]
locations = sorted(df.Location.unique())
source_pyramid = ColumnDataSource(data=dict())
def pyramid():
xdr = DataRange1d()
ydr = DataRange1d()
