bokeh.models Interfacebokeh.models.annotationsbokeh.models.axesbokeh.models.callbacksbokeh.models.formattersbokeh.models.glyphsbokeh.models.gridsbokeh.models.map_plotsbokeh.models.mappersbokeh.models.markersbokeh.models.plotsbokeh.models.rangesbokeh.models.renderersbokeh.models.sourcesbokeh.models.tickersbokeh.models.toolsbokeh.models.widgetbokeh.models.widgets.buttonsbokeh.models.widgets.dialogsbokeh.models.widgets.groupsbokeh.models.widgets.iconsbokeh.models.widgets.inputsbokeh.models.widgets.layoutsbokeh.models.widgets.markupsbokeh.models.widgets.panelsbokeh.models.widgets.tablesbokeh.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)