bokeh.models
Interfacebokeh.models.annotations
bokeh.models.axes
bokeh.models.callbacks
bokeh.models.formatters
bokeh.models.glyphs
bokeh.models.grids
bokeh.models.map_plots
bokeh.models.mappers
bokeh.models.markers
bokeh.models.plots
bokeh.models.ranges
bokeh.models.renderers
bokeh.models.sources
bokeh.models.tickers
bokeh.models.tools
bokeh.models.widget
bokeh.models.widgets.buttons
bokeh.models.widgets.dialogs
bokeh.models.widgets.groups
bokeh.models.widgets.icons
bokeh.models.widgets.inputs
bokeh.models.widgets.layouts
bokeh.models.widgets.markups
bokeh.models.widgets.panels
bokeh.models.widgets.tables
bokeh.validation
Package
bokeh.plotting
Interfacebokeh.charts
Interface
< iris_scatter_chart | back to Gallery | palettes >
from collections import OrderedDict
from bokeh.charts import Line, show, output_file
xyvalues = OrderedDict(
python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111],
pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130],
jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160],
)
# any of the following commented are also valid Line inputs
#xyvalues = pd.DataFrame(xyvalues)
#xyvalues = xyvalues.values()
#xyvalues = np.array(xyvalues.values())
output_file("lines.html", title="line.py example")
chart = Line(xyvalues, title="Lines", ylabel='measures', legend=True)
show(chart)