def HLevelLine():
# sample = pd.read_table('http://kelesidis.de/static/data/sample.txt')
# Use the Sample Data
# Make a list with the months
ys = [month for month in sample.columns[1:]]
TOOLS = 'pan,wheel_zoom,hover,crosshair,resize,reset'
TOOLTIPS = [("Year", "$~x"),
("Temp", "$y")]
# make our line configurations
# import from df, x= the Year column, y = the ys list we created above
p = Line(sample, x = 'Year', y = ys, title = "Hight Level Bokeh Line Chart", legend = "bottom_left",
ylabel = 'Temp', tools = TOOLS, width = 600, height = 450, responsive = True)
# hover tool configuration
p_hover = p.select(HoverTool)
p_hover.tooltips = TOOLTIPS
p.logo = None
return p
svalues[k] = [(i, v) for i, v in zip(index, xyvalues[k])]
# # import pdb; pdb.set_trace()
scatter_point = Scatter(svalues, title="Scatter mouse", ylabel='measures', width=500, height=300,
legend=True,
tools=TOOLS)
scatter = Scatter(svalues, title="Scatter V Line", ylabel='measures', width=500, height=300,
legend=True,
tools=TOOLS)
int_point_line = Line(xyvalues, title="Lines Mouse Interp.", ylabel='measures', width=500, height=300,
tools=TOOLS)
point_line = Line(xyvalues, title="Lines Mouse", ylabel='measures', width=500, height=300,
tools=TOOLS)
hhover = hline.select(dict(type=HoverTool))
hhover.mode = 'hline'
hhover.line_policy = 'next'
vhover = vline.select(dict(type=HoverTool))
vhover.mode = 'vline'
vhover.line_policy = 'nearest'
int_hhover = int_hline.select(dict(type=HoverTool))
int_hhover.mode = 'hline'
int_hhover.line_policy = 'interp'
int_vhover = int_vline.select(dict(type=HoverTool))
int_vhover.mode = 'vline'
int_vhover.line_policy = 'interp'
import time
import numpy as np
from bokeh.charts import Line, curdoc, cursession, output_server, show
from bokeh.models import GlyphRenderer
N = 80
x = np.linspace(0, 4*np.pi, N)
xyvalues = OrderedDict(sin=np.sin(x), cos=np.cos(x))
output_server("line_animate")
chart = Line(xyvalues, title="Lines", ylabel='measures')
curdoc().add(chart)
show(chart)
renderer = chart.select(dict(type=GlyphRenderer))
ds = renderer[0].data_source
while True:
for i in np.hstack((np.linspace(1, -1, 100), np.linspace(-1, 1, 100))):
for k, values in xyvalues.items():
if k != 'x':
ds.data['y_%s'%k] = values * i
cursession().store_objects(ds)
time.sleep(0.05)
scatter_point = Scatter(data, x='Year', y='Count', color='Degree',
title="Scatter mouse", ylabel='measures', legend=True,
tools=TOOLS)
scatter = Scatter(data, x='Year', y='Count', color='Degree',
title="Scatter V Line", ylabel='measures', legend=True, tools=TOOLS)
int_point_line = Line(data, x='Year', y='Count', color='Degree',
title="Lines Mouse Interp.", ylabel='measures', tools=TOOLS)
point_line = Line(data, x='Year', y='Count', color='Degree',
title="Lines Mouse", ylabel='measures', tools=TOOLS)
hhover = hline.select(HoverTool)
hhover.mode = 'hline'
hhover.line_policy = 'next'
vhover = vline.select(HoverTool)
vhover.mode = 'vline'
vhover.line_policy = 'nearest'
int_hhover = int_hline.select(HoverTool)
int_hhover.mode = 'hline'
int_hhover.line_policy = 'interp'
int_vhover = int_vline.select(HoverTool)
int_vhover.mode = 'vline'
int_vhover.line_policy = 'interp'
x='Year',
y='Count',
color='Degree',
title="Lines Mouse Interp.",
ylabel='measures',
tools=TOOLS)
point_line = Line(data,
x='Year',
y='Count',
color='Degree',
title="Lines Mouse",
ylabel='measures',
tools=TOOLS)
hhover = hline.select(HoverTool)
hhover.mode = 'hline'
hhover.line_policy = 'next'
vhover = vline.select(HoverTool)
vhover.mode = 'vline'
vhover.line_policy = 'nearest'
int_hhover = int_hline.select(HoverTool)
int_hhover.mode = 'hline'
int_hhover.line_policy = 'interp'
int_vhover = int_vline.select(HoverTool)
int_vhover.mode = 'vline'
int_vhover.line_policy = 'interp'
tools=TOOLS)
int_point_line = Line(xyvalues,
title="Lines Mouse Interp.",
ylabel='measures',
width=500,
height=300,
tools=TOOLS)
point_line = Line(xyvalues,
title="Lines Mouse",
ylabel='measures',
width=500,
height=300,
tools=TOOLS)
hhover = hline.select(dict(type=HoverTool))
hhover.mode = 'hline'
hhover.line_policy = 'next'
vhover = vline.select(dict(type=HoverTool))
vhover.mode = 'vline'
vhover.line_policy = 'nearest'
int_hhover = int_hline.select(dict(type=HoverTool))
int_hhover.mode = 'hline'
int_hhover.line_policy = 'interp'
int_vhover = int_vline.select(dict(type=HoverTool))
int_vhover.mode = 'vline'
int_vhover.line_policy = 'interp'
import numpy as np
from bokeh.plotting import *
from bokeh.charts import Line
from bokeh.models import GlyphRenderer
N = 80
x = np.linspace(0, 4 * np.pi, N)
output_server("line_animate")
xyvalues = OrderedDict(sin=np.sin(x), cos=np.cos(x))
chart = Line(xyvalues, title="Lines", ylabel='measures')
curdoc().add(chart)
show(chart)
_session = cursession()
# it's also possible to use the following with the server='line_animate' arg on chart
# chart.show()
# _session = chart.session
renderer = chart.select(dict(type=GlyphRenderer))
ds = renderer[0].data_source
while True:
for i in np.hstack((np.linspace(1, -1, 100), np.linspace(-1, 1, 100))):
for k, values in xyvalues.items():
if k != 'x':
ds.data['y_%s' % k] = values * i
_session.store_objects(ds)
time.sleep(0.05)
