In [1]:

    

import seaborn as sns
import metapack as mp
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display 

%matplotlib inline
sns.set_context('notebook')


    

In [2]:

    

#pkg = mp.jupyter.open_package()
pkg = mp.jupyter.open_source_package()
pkg


    

    
Out[2]:




San Diego PUMS
census.gov-pums-20165-1 Last Update: 2018-11-29T05:13:44
PUMS Housing and personal records for San Diego county.
Documentation Links

data_dictionary_20165 2012-2016 ACS PUMS DATA DICTIONARY
data_download Data download page

Contacts

Wrangler Eric Busboom, Civic Knowledge

References

pums_ca_pop. California population  PUMS
pums_ca_house. California housing  PUMS
sd_pums. San Diego County PUMS numbers and boundaries

In [3]:

    

pums = pkg.reference('sd_pums').dataframe()
sdc_pums = list(pums[pums.GEOID10.astype('str').str.startswith('6073')].PUMACE10)


    

In [4]:

    

df = pkg.reference('pums_ca_pop').dataframe()


    

In [5]:

    

# Get the records that are in San Diego county0
df_sd_pop=df[df.PUMA.isin(sdc_pums)]
len(df_sd_pop)


    

    
Out[5]:





145525

In [6]:

    

df = pkg.reference('pums_ca_house').dataframe()


    

In [7]:

    

# Get the records that are in San Diego county
df_sd_house=df[df.PUMA.isin(sdc_pums)]
len(df_sd_house)


    

    
Out[7]:





62308