#!/usr/bin/env python # coding: utf-8 #
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What is the Going Trend in the Rental Market - Hollister CA?

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# Mikaela Rojas | Rojas Realty #
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Hello!

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I’m Mikaela Rojas!


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# Thank you for choosing me as your South Bay Realtor! Let's take a
# a look at Hollister CA Rental Prices for the year so far. #
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# 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 # Hollister,CA,San Jose,San Benito|00800 # RAH = Estimated Rent, All Homes in Region df = pd.read_csv('http://www.quandl.com/api/v3/datasets/ZILL/C00800_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 January 31st! # In[6]: df[df['Rent'] == df.values.max()] # ## Rental Prices are still on the rise in 2017! # In[7]: mask = df.index >= pd.to_datetime('1/1/2016') df[mask].sort_index().plot(figsize=(15,5)); #

Hollister CA Realtor: ROJAS REALTY

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the information came from quandl and Zillow

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# In[8]: from IPython.display import HTML HTML('''
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