What Percentage of Sales were Foreclosures in Morgan Hill CA?

Mikaela Rojas | Rojas Realty

Hello!

I’m Mikaela Rojas!


Thank you for choosing me as your South Bay Realtor! Let's take a
a look at Morgan Hill CA Foreclosure rates.
In [1]:
import pandas as pd
import matplotlib.pyplot as plt # only needed for advanced plotting
import matplotlib.dates as dates
plt.style.use('ggplot')
%matplotlib inline
In [8]:
# grab Zillow data
# Morgan Hill,CA,San Jose,Santa Clara|01424
# FR = Percentage of Sales that were Foreclosures
df = pd.read_csv('http://www.quandl.com/api/v3/datasets/ZILL/C01424_FR.csv')
df.head();
In [3]:
# convert to date format
df['Date'] = pd.to_datetime(df['Date'])
In [4]:
# rename columns
df.columns = ['Date','Foreclosure_pct']
In [5]:
# set Date to be the index
df = df.set_index('Date')

Foreclosures for 2015 and 2016 seem to be total opposites. What kind of trend will we have for 2017?

In [6]:
# Advanced Plotting
####################
fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(13, 5))
fig.subplots_adjust(hspace=1.0) ## Create space between plots

# Chart 1
mask1 = df.index.year == 2015
df[mask1].sort_index().plot.bar(ax=axes)

# Chart 2
mask1 = df.index.year == 2016
df[mask1].sort_index().plot.bar(ax=axes, alpha=0.4, color='w')

# add a little sugar
axes.set_title('Forclosure Percentages: 2015 vs 2016')
axes.set_ylabel('Forclosure Percentages')
axes.legend(["2015","2016"], loc='best');

Morgan Hill CA Realtor: ROJAS REALTY


the information came from quandl and Zillow

In [7]:
from IPython.display import HTML

HTML('''<script>
code_show=true; 
function code_toggle() {
 if (code_show){
 $('div.input').hide();
 } else {
 $('div.input').show();
 }
 code_show = !code_show
} 
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" class="btn btn-info btn-xs" value="Click here to toggle on/off the raw code"></form>''')
Out[7]: