def scatter(self, dataframe, x=None, y=None, width=None, height=None, color=None, title=None,
xaxis_label=None, yaxis_label=None, label=None):
color = self.__default_options__.get('color', None) if color is None else color
width = self.__default_options__.get('width', None) if width is None else width
width, height = self._width_height(width, height)
scatter = Scatter(dataframe, x=x, y=y, width=width, height=height, color=color, title=title,
tools=TOOLS + ',hover' if label else '')
if label:
hover = scatter.select_one(dict(type=HoverTool))
hover.tooltips = [("Id", "@%s" % label)]
renderer = scatter.select_one(dict(type=GlyphRenderer))
renderer.data_source.data[label] = dataframe[label].tolist()
if xaxis_label:
scatter._xaxis.axis_label = xaxis_label
if yaxis_label:
scatter._yaxis.axis_label = yaxis_label
return scatter
def scatter(self,
dataframe,
x=None,
y=None,
width=None,
height=None,
color=None,
title=None,
xaxis_label=None,
yaxis_label=None,
label=None):
color = self.__default_options__.get('color',
None) if color is None else color
width = self.__default_options__.get('width',
None) if width is None else width
width, height = self._width_height(width, height)
scatter = Scatter(dataframe,
x=x,
y=y,
width=width,
height=height,
color=color,
title=title,
tools=TOOLS + ',hover' if label else '')
if label:
hover = scatter.select_one(dict(type=HoverTool))
hover.tooltips = [("Id", "@%s" % label)]
renderer = scatter.select_one(dict(type=GlyphRenderer))
renderer.data_source.data[label] = dataframe[label].tolist()
if xaxis_label:
scatter._xaxis.axis_label = xaxis_label
if yaxis_label:
scatter._yaxis.axis_label = yaxis_label
return scatter
p = figure(title="Texas Unemployment 2009",
tools=TOOLS,
x_axis_location=None,
y_axis_location=None)
p.grid.grid_line_color = None
p.patches('x',
'y',
source=source,
fill_color='color',
fill_alpha=0.7,
line_color="white",
line_width=0.5)
hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("Name", "@name"),
("Unemployment rate)", "@rate%"),
("(Long, Lat)", "($x, $y)"),
]
show(p)
import numpy as np
from bokeh.layouts import gridplot
from bokeh.plotting import figure, output_notebook, show
from bokeh.models import ColumnDataSource
N = 300