In [24]:

    

#create interactive scatter chart showing distance of Jewish institutions from Capitol
import pandas as pd
syn = pd.read_csv('jewish_institutions.csv', names = ['congregation', 'year', 'distance'])


    

In [25]:

    

syn


    

    
Out[25]:






  

    

      

      
congregation
      
year
      
distance
    
  
  

    

      
0
      
Washington Hebrew Congregation
      
1863
      
1.713277
    
    

      
1
      
Washington Hebrew Congregation
      
1955
      
7.738767
    
    

      
2
      
Adas Israel Congregation
      
1876
      
1.326568
    
    

      
3
      
Adas Israel Congregation
      
1906
      
1.540310
    
    

      
4
      
Adas Israel Congregation
      
1951
      
6.466478
    
    

      
5
      
Ohev Sholom Talmud Torah
      
1893
      
1.060000
    
    

      
6
      
Ohev Sholom Talmud Torah
      
1906
      
1.488474
    
    

      
7
      
Ohev Sholom Talmud Torah
      
1951
      
8.658585
    
    

      
8
      
Ohev Sholom Talmud Torah
      
1960
      
10.739619
    
    

      
9
      
Ezras Israel Congregation
      
1907
      
1.718134
    
    

      
10
      
Ezras Israel Congregation
      
1959
      
9.624730
    
    

      
11
      
Ezras Israel Congregation
      
1978
      
21.300000
    
    

      
12
      
Southeast Hebrew Congregation
      
1922
      
1.501659
    
    

      
13
      
Southeast Hebrew Congregation
      
1971
      
16.140974
    
    

      
14
      
B'nai Israel Congregation
      
1925
      
6.627811
    
    

      
15
      
B'nai Israel Congregation
      
1929
      
6.973718
    
    

      
16
      
B'nai Israel Congregation
      
1951
      
6.792546
    
    

      
17
      
B'nai Israel Congregation
      
1976
      
20.938035
    
    

      
18
      
Tifereth Israel Congregation
      
1914
      
3.607892
    
    

      
19
      
Tifereth Israel Congregation
      
1925
      
4.261609
    
    

      
20
      
Tifereth Israel Congregation
      
1956
      
10.637888
    
    

      
21
      
Beth Sholom Congregation and Talmud Torah
      
1938
      
5.679402
    
    

      
22
      
Beth Sholom Congregation and Talmud Torah
      
1956
      
10.501095
    
    

      
23
      
Beth Sholom Congregation and Talmud Torah
      
1958
      
10.932356
    
    

      
24
      
Beth Sholom Congregation and Talmud Torah
      
1972
      
22.325642
    
    

      
25
      
Congregation Har Tzeon Agudath Achim
      
1940
      
8.356424
    
    

      
26
      
Congregation Har Tzeon Agudath Achim
      
1954
      
8.774329
    
    

      
27
      
Congregation Har Tzeon Agudath Achim
      
1958
      
8.816535
    
    

      
28
      
Congregation Har Tzeon Agudath Achim
      
1977
      
16.856510
    
    

      
29
      
Shaare Tefila Congregation
      
1954
      
7.702161
    
    

      
30
      
Shaare Tefila Congregation
      
1965
      
16.591886
    
    

      
31
      
Shaare Tefila Congregation
      
2011
      
27.081905
    
    

      
32
      
Temple Sinai
      
1952
      
7.144350
    
    

      
33
      
Temple Sinai
      
1957
      
9.133646
    
    

      
34
      
Temple Micah
      
1966
      
1.825651
    
    

      
35
      
Temple Micah
      
1995
      
6.910606
    
    

      
36
      
Hebrew Home for the Aged
      
1914
      
1.895379
    
    

      
37
      
Hebrew Home for the Aged
      
1924
      
1.895379
    
    

      
38
      
Jewish Social Service Agency
      
1940
      
5.451608
    
    

      
39
      
Jewish Social Service Agency
      
1969
      
20.723086
    
    

      
40
      
Jewish Community Center
      
1926
      
3.350016
    
    

      
41
      
Jewish Community Center
      
1969
      
3.350016
    
    

      
42
      
Jewish Community Center
      
1997
      
3.350016
    
    

      
43
      
Congregation Shaare Tikvah
      
1942
      
4.083638
    
    

      
44
      
Congregation Shaare Tikvah
      
1944
      
2.791841
    
    

      
45
      
Congregation Shaare Tikvah
      
1965
      
6.145343
    
    

      
46
      
Congregation Shaare Tikvah
      
1967
      
10.639617
    
    

      
47
      
6th and I
      
2004
      
1.520000
    
    

      
48
      
Hill Havurah
      
1998
      
0.530000
    
  

In [26]:

    

syn['year'] =  pd.to_datetime(syn['year'], format='%Y')
syn['time'] = syn['year'].dt.strftime('%Y')


    

In [27]:

    

from bokeh.charts import Scatter, output_notebook, show, output_file
from bokeh.models import Range1d
tooltips = [('name', '@congregation'), ('year', '@time'), ('distance', '@distance')]

p = Scatter(syn, x='year', y='distance', title="Suburbanization of Washington's Jewish Community",
            xlabel="year Jewish institution opened", ylabel="Kilometers from U.S. Capitol", tooltips=tooltips, color='blue', 
            xscale='datetime', yscale='linear', width=500, height=400)
p.y_range = Range1d(0, 25)

        
output_notebook()
output_file('syn.html')
show(p)


    

    






    

        
        Loading BokehJS ...
    






    















    







    

        

    

In [28]:

    

from bokeh.embed import components

script, div = components(p)
print(div)


    

    




<div class="bk-root">
    <div class="plotdiv" id="0bc9381c-00a6-4c4f-b942-15fc6dd0bc4c"></div>
</div>

In [29]:

    

print(script)


    

In [ ]: