In [17]:

    

from bokeh.io import output_notebook, show
output_notebook()


    

    






    

        
        Loading BokehJS ...
    






    

In [20]:

    

from bokeh.plotting import figure
from bokeh.io import gridplot

x = list(range(11))
y0, y1, y2 = x, [10-i for i in x], [abs(i-5) for i in x]

# create a new plot
s1 = figure(width=250, plot_height=250)
s1.circle(x, y0, size=10, color="navy", alpha=0.5)

# create another one
s2 = figure(width=250, height=250)
s2.triangle(x, y1, size=10, color="firebrick", alpha=0.5)

# create and another
s3 = figure(width=250, height=250)
s3.square(x, y2, size=10, color="olive", alpha=0.5)

# put all the plots in an HBox
p = gridplot([[s1, s2, s3]], toolbar_location='left')

# show the results
show(p)


    

In [14]:

    

from bokeh.io import gridplot

plot_options = dict(width=250, plot_height=250, title=None, tools='pan,reset,wheel_zoom')

# create a new plot
s1 = figure(**plot_options)
s1.circle(x, y0, size=10, color="navy")

# create a new plot and share both ranges
s2 = figure(x_range=s1.x_range, y_range=s1.y_range, **plot_options)
s2.triangle(x, y1, size=10, color="firebrick")

# create a new plot and share only one range
s3 = figure(x_range=s1.x_range, **plot_options)
s3.square(x, y2, size=10, color="olive")

p = gridplot([[s1, s2, s3]])


    

In [15]:

    

# show the results
show(p)


    

In [ ]:

    

from bokeh.io import gridplot
from bokeh.models import ColumnDataSource
import numpy as np

N = 300
x = np.linspace(0, 4*np.pi, N)
y1 = np.sin(x)
y2 = np.cos(x)

plot_options=dict(responsive=True, width=450, height=350)

# create a column data source for the plots to share
source = ColumnDataSource(data=dict(x=x, y1=y1, y2=y2))

TOOLS = "reset,box_select,lasso_select,help"

# create a new plot and add a renderer
left = figure(tools=TOOLS, **plot_options)
left.circle('x', 'y1', source=source)

# create another new plot and add a renderer
right = figure(tools=TOOLS, **plot_options)
right.circle('x', 'y2', source=source)

p = gridplot([[left, right]])


    

In [16]:

    

show(p)
print("test")


    

    







    

        

    







    




test

In [7]:

    

%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
from matplotlib_venn import venn3, venn3_circles


    

In [8]:

    

plt.figure(figsize=(4,4))
v = venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C'))
v.get_patch_by_id('100').set_alpha(1.0)
v.get_patch_by_id('100').set_color('white')
v.get_label_by_id('100').set_text('Unknown')
v.get_label_by_id('A').set_text('Set "A"')
c = venn3_circles(subsets=(1, 1, 1, 1, 1, 1, 1), linestyle='dashed')
c[0].set_lw(1.0)
c[0].set_ls('dotted')
plt.title("Sample Venn diagram")
plt.annotate('Unknown set', xy=v.get_label_by_id('100').get_position() - np.array([0, 0.05]), xytext=(-70,-70),
             ha='center', textcoords='offset points', bbox=dict(boxstyle='round,pad=0.5', fc='gray', alpha=0.1),
             arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5',color='gray'))
plt.show()


    

In [9]:

    

from matplotlib_venn import venn2, venn2_circles
figure, axes = plt.subplots(2, 2)
venn2(subsets={'10': 1, '01': 1, '11': 1}, set_labels = ('A', 'B'), ax=axes[0][0])
venn2_circles((1, 2, 3), ax=axes[0][1])
venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C'), ax=axes[1][0])
venn3_circles({'001': 10, '100': 200, '010': 21, '110': 13, '011': 14}, ax=axes[1][1])
plt.show()


    

In [10]:

    

set1 = set(['A', 'B', 'C', 'D'])
set2 = set(['B', 'C', 'D', 'E'])
set3 = set(['C', 'D',' E', 'F', 'G'])

venn3([set1, set2, set3], ('Set1', 'Set2', 'Set3'))
plt.show()


    

In [ ]: