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

# <div class="well" style="background-color:#008c9a; color:white;">	
#     <center><h1>What is the Going Trend in the Rental Market - Morgan Hill CA?</h1></center>
# </div>

# <!-- ---------------------------------------------------- -->
#   <div class="col-sm-4 col-md-4 col-lg-4">
# 	<!-- logo -->  
#     <div class="img-responsive">
#       <img src="https://www.dropbox.com/s/rw7t8rlyy812mba/mikaela-rojas-realtor.jpg?dl=1" title="Mikaela Rojas | Rojas Realty" alt="Mikaela Rojas | Rojas Realty">    
#     </div>
# 	<!-- logo -->	
#   </div>
# <!-- ---------------------------------------------------- --> 
#   <div class="col-sm-8 col-md-8 col-lg-8">
# 	<!-- Morgan Hill CA -->  
# 	<center>			
#         <h2>Hello!</h2>
# 		<h2>I’m Mikaela Rojas!</h2><br>
#     </center>
#     <center>
#     Thank you for choosing me as your South Bay Realtor! Let's take a <br>
#     a look at <strong>Morgan Hill CA</strong> Rental Prices for the year so far.
# 	</center>	
#     <!-- Morgan Hill CA -->	
#   </div>
# <!-- ---------------------------------------------------- -->

# <div style="color:black; border: 3px solid #008c9a;"></div>

# In[1]:


import pandas as pd
import matplotlib.pyplot as plt # only needed for advanced plotting
plt.style.use('ggplot')
get_ipython().run_line_magic('matplotlib', 'inline')


# In[2]:


# grab Zillow data
# Morgan Hill,CA,San Jose,Santa Clara|01424
# RAH = Estimated Rent, All Homes in Region
df = pd.read_csv('http://www.quandl.com/api/v3/datasets/ZILL/C01424_RAH.csv')
df.head();


# In[3]:


# convert to date format
df['Date'] = pd.to_datetime(df['Date'])


# In[4]:


# rename columns
df.columns = ['Date','Rent']


# In[5]:


# set Date to be the index
df = df.set_index('Date')


# ## What was the Highest Estimated Rental Price? 
# 
# > It was August 2016!

# In[6]:


df[df['Rent'] == df.values.max()]


# ## Prices dropped as we reached the end of 2016, but they are starting to climb back up in 2017.

# In[7]:


mask = df.index >= pd.to_datetime('1/1/2016')
df[mask].sort_index().plot(figsize=(15,5));


# <center><h1><strong>Morgan Hill CA Realtor:</strong> <a href="http://www.rojasrealty.us" target="_blank">ROJAS REALTY</a></h1>    </center>
# 
# <br>
# <center><p class="label label-default">the information came from quandl and Zillow</p></center>

# <div style="color:black; border: 3px solid #008c9a;"></div>

# In[8]:


from IPython.display import HTML

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