#!/usr/bin/env python
# coding: utf-8

# # How to create Popups

# In[1]:


import sys
sys.path.insert(0,'..')
import folium
print (folium.__file__)
print (folium.__version__)


# ## Simple popups

# You can define your popup at the feature creation, but you can also overwrite them afterwards:

# In[2]:


m = folium.Map([45,0], zoom_start=4)

folium.Marker([45,-30], popup="inline implicit popup").add_to(m)

folium.CircleMarker([45,-10], radius=1e5, popup=folium.Popup("inline explicit Popup")).add_to(m)

ls = folium.PolyLine([[43,7],[43,13],[47,13],[47,7],[43,7]], color='red')
ls.add_children(folium.Popup("outline Popup on Polyline"))
ls.add_to(m)

gj = folium.GeoJson({ "type": "Polygon", "coordinates": [[[27,43],[33,43],[33,47],[27,47]]]})
gj.add_children(folium.Popup("outline Popup on GeoJSON"))
gj.add_to(m)

m


# ## Vega Popup

# You may know that it's possible to create awesome Vega charts with (or without) `vincent`. If you're willing to put one inside a popup, it's possible thanks to `folium.Vega`.

# In[3]:


import vincent, json
import numpy as np

scatter_points = {
    'x' : np.random.uniform(size=(100,)),
    'y' : np.random.uniform(size=(100,)),
    }

# Let's create the vincent chart.
scatter_chart = vincent.Scatter(scatter_points,
                                iter_idx='x',
                                width=600,
                                height=300)

# Let's convert it to JSON.
scatter_json = scatter_chart.to_json()

# Let's convert it to dict.
scatter_dict = json.loads(scatter_json)


# In[4]:


m = folium.Map([43,-100], zoom_start=4)

# Let's create a Vega popup based on scatter_chart.
popup = folium.Popup(max_width=800)
folium.Vega(scatter_chart, height=350, width=650).add_to(popup)
folium.Marker([30,-120], popup=popup).add_to(m)

# Let's create a Vega popup based on scatter_json.
popup = folium.Popup(max_width=800)
folium.Vega(scatter_json, height=350, width=650).add_to(popup)
folium.Marker([30,-100], popup=popup).add_to(m)

# Let's create a Vega popup based on scatter_dict.
popup = folium.Popup(max_width=800)
folium.Vega(scatter_dict, height=350, width=650).add_to(popup)    
folium.Marker([30,-80], popup=popup).add_to(m)

m


# ## Fancy HTML popup

# Now, you can put any HTML code inside of a Popup, thaks to the `IFrame` object.

# In[5]:


m = folium.Map([43,-100], zoom_start=4)

html="""
    <h1> This is a big popup</h1><br>
    With a few lines of code...
    <p>
    <code>
        from numpy import *<br>
        exp(-2*pi)
    </code>
    </p>
    """
iframe = folium.element.IFrame(html=html, width=500, height=300)
popup = folium.Popup(iframe, max_width=2650)

folium.Marker([30,-100], popup=popup).add_to(m)

m


# Note that you can put another `Figure` into an `IFrame` ; this should let you do stange things...

# In[6]:


# Let's create a Figure, with a map inside.
f = folium.element.Figure()
folium.Map([-25,150], zoom_start=3).add_to(f)

# Let's put the figure into an IFrame.
iframe = folium.element.IFrame(width=500, height=300)
f.add_to(iframe)

# Let's put the IFrame in a Popup
popup = folium.Popup(iframe, max_width=2650)

# Let's create another map.
m = folium.Map([43,-100], zoom_start=4)

# Let's put the Popup on a marker, in the second map.
folium.Marker([30,-100], popup=popup).add_to(m)

# We get a map in a Popup. Not really useful, but powerful.
m


# ## Conclusion
# 
# That's all folks !
# 
# Hope it'll be useful to you. Don't hesitate to provide a feedback on what can be improved, which method do you prefer, etc.