In [1]:

    

import os
import folium


print(folium.__version__)


    

    




0.8.3+52.g2758dc7.dirty

In [2]:

    

import pandas
import ast


data = pandas.read_csv(
    'data' + os.path.sep + 'consonants_vowels.csv',
    # To ensure that tuples are read as tuples
    converters={'coordinates': ast.literal_eval}
)

data.head()


    

    
Out[2]:







  

    

      

      
language
      
coordinates
      
consonants
      
vowels
    
  
  

    

      
0
      
Turkish
      
(39.8667, 32.8667)
      
25
      
8
    
    

      
1
      
Korean
      
(37.5, 128.0)
      
21
      
11
    
    

      
2
      
Tiwi
      
(-11.6308, 130.94899999999998)
      
22
      
4
    
    

      
3
      
Liberia Kpelle
      
(6.92048, -9.96128)
      
22
      
12
    
    

      
4
      
Tulu
      
(12.8114, 75.2651)
      
24
      
13
    
  

In [3]:

    

import matplotlib.pyplot as plt
import io


pie_charts_data = zip(data.consonants, data.vowels)

fig = plt.figure(figsize=(0.5, 0.5))
fig.patch.set_alpha(0)
ax = fig.add_subplot(111)
plots = []
for sizes in pie_charts_data:
    ax.pie(sizes, colors=('#e6194b', '#19e6b4'))
    buff = io.StringIO()
    plt.savefig(buff, format='SVG')
    buff.seek(0)
    svg = buff.read()
    svg = svg.replace('\n', '')
    plots.append(svg)
    plt.cla()
plt.clf()
plt.close()


    

In [4]:

    

import branca


legend_html = '''
{% macro html(this, kwargs) %}
<div style="
    position: fixed; 
    bottom: 50px;
    left: 50px;
    width: 250px;
    height: 80px;
    z-index:9999;
    font-size:14px;
    ">
    <p><a style="color:#e6194b;font-size:150%;margin-left:20px;">◼</a>&emsp;Consonants</p>
    <p><a style="color:#19e6b4;font-size:150%;margin-left:20px;">◼</a>&emsp;Vowels</p>
</div>
<div style="
    position: fixed; 
    bottom: 50px;
    left: 50px;
    width: 150px;
    height: 80px; 
    z-index:9998;
    font-size:14px;
    background-color: #ffffff;
    filter: blur(8px);
    -webkit-filter: blur(8px);
    opacity: 0.7;
    ">
</div>
{% endmacro %}
'''

legend = branca.element.MacroElement()
legend._template = branca.element.Template(legend_html)


    

In [5]:

    

m = folium.Map(location=(0,0), zoom_start=2)

for i, coord in enumerate(data.coordinates):
    marker = folium.Marker(coord)
    icon = folium.DivIcon(html=plots[i])
    marker.add_child(icon)
    popup = folium.Popup(
        'Consonants: {}<br>\nVowels: {}'.format(data.consonants[i], data.vowels[i])
    )
    marker.add_child(popup)
    m.add_child(marker)
m.get_root().add_child(legend)
m


    

    
Out[5]: