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

# # Map of King County Real Estate by Zipcode
# 
# Continuation of *3.2 Geospatial Mapping* in [Main Notebook](https://github.com/czarinagluna/regression-analysis-for-estimating-prices/blob/main/main.ipynb)
# 
# *** 
# **By [Czarina Luna](https://www.linkedin.com/in/czarinagluna/)**

# In[1]:


get_ipython().run_line_magic('store', '-r UnderMillion')


# In[2]:


get_ipython().run_line_magic('store', '-r OverMillion')


# **Please use the [notebook viewer](https://nbviewer.org/github/czarinagluna/regression-analysis-for-estimating-prices/blob/main/map.ipynb) to render the maps.**

# In[4]:


import folium as folium

def map_zipcode(data, title, color, name):
    '''Maps the data points according to price per zipcode in King County'''
    king_county_geo = 'data/map/Zipcodes_for_King_County_and_Surrounding_Area___zipcode_area.geojson'

    king_county_map = folium.Map(location=[47.484823, -122.112342], tiles='cartodbpositron', zoom_start=9.5)

    folium.Choropleth(
        geo_data=king_county_geo,
        data=data,
        columns=['zipcode', 'price'],
        key_on='feature.properties.ZIP',
        fill_color=color,
        fill_opacity=0.7,
        line_opacity=0.2,
        legend_name=title).add_to(king_county_map)

    folium.LayerControl().add_to(king_county_map)
    king_county_map.save(name)
    return king_county_map

import warnings
warnings.filterwarnings('ignore')


# In[5]:


map_zipcode(UnderMillion, 'House Prices Sold Under $1 Million', 'PuBuGn', 'data/images/UnderMillion.html')


# In[6]:


map_zipcode(OverMillion, 'House Prices Sold Over $1 Million', 'Greens', 'data/images/OverMillion.html')


# # Contact
# 
# Feel free to contact me for any questions and connect with me on [Linkedin](https://www.linkedin.com/in/czarinagluna/).