def test_noarg(self):
default_kwargs = dict(session_id="default",
url="default",
app_path='/',
autopush=False)
io.output_server()
self._check_func_called(io._state.output_server, (), default_kwargs)
def test_args(self):
kwargs = dict(session_id="foo",
url="http://example.com",
app_path='/foo',
autopush=True)
io.output_server(**kwargs)
self._check_func_called(io._state.output_server, (), kwargs)
def server(self, session_id):
warnings.warn("Chart property 'server' was deprecated in 0.11 \
and will be removed in the future.")
from bokeh.io import output_server
if session_id:
if isinstance(session_id, bool):
session_id='default'
output_server(session_id)
def server(self, session_id):
warnings.warn("Chart property 'server' was deprecated in 0.11 \
and will be removed in the future.")
from bokeh.io import output_server
if session_id:
if isinstance(session_id, bool):
session_id = 'default'
output_server(session_id)
def test_noarg(self):
default_kwargs = dict(session=None,
url="default",
name=None,
clear=True)
io.output_server("docname")
self._check_func_called(io._state.output_server, ("docname", ),
default_kwargs)
def wrapper(*args, **kwargs):
name = kwargs.pop('name', strftime('%I:%M:%S %h %d %Y'))
width = kwargs.pop('w', 600)
height = kwargs.pop('h', 600)
output_server(name)
p = figure(plot_width=width, plot_height=height)
p = func(p, *args, **kwargs)
show(p)
def test_io_push_to_server(self):
from bokeh.io import output_server, push, curdoc, reset_output
application = Application()
with ManagedServerLoop(application) as server:
reset_output()
doc = curdoc()
doc.clear()
client_root = SomeModelInTestClientServer(foo=42)
session_id = 'test_io_push_to_server'
output_server(session_id=session_id,
url=("http://localhost:%d/" % server.port))
doc.add_root(client_root)
push(io_loop=server.io_loop)
server_session = server.get_session('/', session_id)
print(repr(server_session.document.roots))
assert len(server_session.document.roots) == 1
server_root = next(iter(server_session.document.roots))
assert client_root.foo == 42
assert server_root.foo == 42
# Now modify the client document and push
client_root.foo = 57
push(io_loop=server.io_loop)
server_root = next(iter(server_session.document.roots))
assert server_root.foo == 57
# Remove a root and push
doc.remove_root(client_root)
push(io_loop=server.io_loop)
assert len(server_session.document.roots) == 0
# Clean up global IO state
reset_output()
def test_io_push_to_server(self):
from bokeh.io import output_server, push, curdoc, reset_output
application = Application()
with ManagedServerLoop(application) as server:
reset_output()
doc = curdoc()
doc.clear()
client_root = SomeModelInTestClientServer(foo=42)
session_id = 'test_io_push_to_server'
output_server(session_id=session_id,
url=("http://localhost:%d/" % server.port))
doc.add_root(client_root)
push(io_loop=server.io_loop)
server_session = server.get_session('/', session_id)
print(repr(server_session.document.roots))
assert len(server_session.document.roots) == 1
server_root = next(iter(server_session.document.roots))
assert client_root.foo == 42
assert server_root.foo == 42
# Now modify the client document and push
client_root.foo = 57
push(io_loop=server.io_loop)
server_root = next(iter(server_session.document.roots))
assert server_root.foo == 57
# Remove a root and push
doc.remove_root(client_root)
push(io_loop=server.io_loop)
assert len(server_session.document.roots) == 0
# Clean up global IO state
reset_output()
def stream(name, width=800, height=500):
"""
Broken
"""
output_server(name)
p = figure(plot_width=width, plot_height=height)
p.line([1,2,3], [4,5,6], name='ex_line')
renderer = p.select({'name': 'ex_line'})
ds = renderer[0].data_source
while True:
x, y = yield
ds.data['x'] = x
ds.data['y'] = y
cursession().store_objects(ds)
show(p)
def test_args(self):
kwargs = dict(session="session", url="url", name="name", clear="clear")
io.output_server("docname", **kwargs)
self._check_func_called(io._state.output_server, ("docname", ), kwargs)
import pandas as pd
import numpy as np
from bokeh.io import curdoc, vform, output_file, show, output_server
from bokeh.layouts import row, column, widgetbox, layout
from bokeh.models import ColumnDataSource, DateFormatter
from bokeh.models.widgets import Slider, TextInput, Panel, Tabs, CheckboxGroup, Div
from bokeh.models.widgets import Toggle, DataTable, DateFormatter, TableColumn, Button
from bokeh.plotting import figure
output_server('test2')
files = ['urlvisits-20160823.csv', 'searches-20160823.csv', 'uniqueusers-20160823.csv', 'intab-20160823.csv']
names = ['URL Visits', 'Searches', 'Unique Users', 'In-Tab Users']
def create_panels(files, names):
tab_list = []
for i in range(len(files)):
df = pd.read_csv('reports/{}'.format(files[i]))
col1 = df.columns[0]
col2 = df.columns[1]
if col1 == 'date':
df['date'] = pd.to_datetime(df['date'])
def test_args(self):
kwargs = dict(session_id="foo", url="http://example.com", app_path='/foo', autopush=True)
io.output_server(**kwargs)
self._check_func_called(io._state.output_server, (), kwargs)
def test_noarg(self):
default_kwargs = dict(session_id="default", url="default", app_path='/', autopush=False)
io.output_server()
self._check_func_called(io._state.output_server, (), default_kwargs)
__author__ = 'root'
from bokeh.models import (TapTool, CustomJS)
from bokeh.io import output_file, show
from bokeh.io import curdoc, vform, gridplot, output_server
import ClusteringSourceData as csd
import GUIparams as gui
import GUICallbacks as cb
output_server("clusteringGUI")
def plotClusters(source, p):
color = ['red', 'red', 'green', 'blue', 'blue', 'red']
p.circle('x',
'y',
source=source,
color=color,
size=source.data['size'],
fill_alpha=0.2)
p.square('x',
'y',
source=source,
size=source.data['tmedian'],
color="#74ADD1",
fill_alpha=0.2)
p.triangle('x',
'y',
source=source,
size=source.data['sd'],
color="#111DFF",
__author__ = 'root'
from bokeh.models import (
TapTool, CustomJS)
from bokeh.io import output_file, show
from bokeh.io import curdoc, vform, gridplot, output_server
import ClusteringSourceData as csd
import GUIparams as gui
import GUICallbacks as cb
output_server("clusteringGUI")
def plotClusters(source, p):
color = ['red', 'red', 'green', 'blue', 'blue', 'red']
p.circle('x','y', source=source, color=color, size=source.data['size'], fill_alpha=0.2 )
p.square('x','y', source=source, size=source.data['tmedian'], color="#74ADD1", fill_alpha=0.2)
p.triangle('x','y', source=source, size=source.data['sd'], color="#111DFF", fill_alpha=0.4)
#print source.data['dates']
#output_file("clusteringGUI.html", title="clusterplot.py example")
def UpdatePlot(source, source1):
data_table.source=source1
plotClusters(source, p)
#set callbacks
#sliders[0].callback = cb.callbackMin(source)
#sliders[1].callback = cb.callbackMax(source)
#taptool.callback = cb.callbackTap(source)
curdoc().add(vbox)
#session = push_session(curdoc())
def connect_to_server(self):
try:
output_server("dreaml")
except ConnectionError:
reset_output()
print "Failed to connect to bokeh server"
def test_noarg(self):
default_kwargs = dict(session=None, url="default", name=None, clear=True)
io.output_server("docname")
self._check_func_called(io._state.output_server, ("docname",), default_kwargs)
def test_args(self):
kwargs = dict(session="session", url="url", name="name", clear="clear")
io.output_server("docname", **kwargs)
self._check_func_called(io._state.output_server, ("docname",), kwargs)
import numpy as np
from bokeh.plotting import figure
from bokeh.io import show, output_server, vplot
N = 9
x = np.linspace(-2, 2, N)
y = x**2
sizes = np.linspace(10, 20, N)
xpts = np.array([-.09, -.12, .0, .12, .09])
ypts = np.array([-.1, .02, .1, .02, -.1])
output_server("glyphs")
plots = []
p = figure(title="annular_wedge")
p.annular_wedge(x,
y,
10,
20,
0.6,
4.1,
color="#8888ee",
inner_radius_units="screen",
outer_radius_units="screen")
plots.append(p)
def server(self):
warnings.warn("Chart property 'server' was deprecated in 0.11 \
and will be removed in the future.")
from bokeh.io import output_server
output_server("default")
def server(self):
warnings.warn("Chart property 'server' was deprecated in 0.11 \
and will be removed in the future.")
from bokeh.io import output_server
output_server("default")
import numpy as np
from bokeh.plotting import figure
from bokeh.io import show, output_server, vplot
N = 9
x = np.linspace(-2, 2, N)
y = x**2
sizes = np.linspace(10, 20, N)
xpts = np.array([-.09, -.12, .0, .12, .09])
ypts = np.array([-.1, .02, .1, .02, -.1])
output_server("glyphs")
plots = []
p = figure(title="annular_wedge")
p.annular_wedge(x, y, 10, 20, 0.6, 4.1, color="#8888ee", inner_radius_units="screen", outer_radius_units="screen")
plots.append(p)
p = figure(title="annulus")
p.annulus(x, y, 10, 20, color="#7FC97F", inner_radius_units="screen", outer_radius_units = "screen")
plots.append(p)
p = figure(title="arc")
p.arc(x, y, 20, 0.6, 4.1, radius_units="screen", color="#BEAED4", line_width=3)
plots.append(p)
def connect_to_server(self):
try:
output_server("dreaml")
except ConnectionError:
reset_output()
print "Failed to connect to bokeh server"
