In [6]:

    

import numpy as np

from bokeh.io import output_notebook, show
from bokeh.models import Legend, ColumnDataSource
from bokeh.plotting import figure
from bokeh.resources import INLINE

output_notebook(resources=INLINE)


    

    






    

        
        Loading BokehJS ...
    






    

In [62]:

    

x = np.linspace(-2*np.pi, 2*np.pi, 100)
y = np.sin(x)

source = ColumnDataSource(data=dict(x=x, y=y))

plot_opts = {
    'plot_width': 400,
    'plot_height': 200,
    'tools': 'previewsave',
    'min_border': 2
}


    

In [69]:

    

def make_plot(min_border_left=0, min_border_bottom=0):
    p = figure(min_border_left=min_border_left, min_border_bottom=min_border_bottom, **plot_opts)
    line = p.line(x="x", y="y", source=source)
    legend = Legend(location=(50, 75), legends=[("x: 50px, y: 75px", [line])])
    p.add_layout(legend)
    return p


    

In [70]:

    

show(make_plot())


    

    







    

        

    







    
Out[70]:




<Bokeh Notebook handle for In[70]>

In [72]:

    

p = make_plot()
p.xaxis.axis_label = "x axis"
p.xaxis.axis_label_text_font_size = '16pt'
p.yaxis.axis_label = "y axis"
p.yaxis.axis_label_text_font_size = '16pt'
show(p)


    

    







    

        

    







    
Out[72]:




<Bokeh Notebook handle for In[72]>

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