added function load_MSA_emp_byInd to DataLoader that uses CBP API to …

…get employment by metro area by NAICS code; will be useful for benchmark indicators (we can choose to calculate every indicator that uses NAICS for diferent cities #5) and the rankings in #4

indicator_tools.py

@@ -11,7 +11,7 @@
 import requests
 import os
 from bs4 import BeautifulSoup
-from APICalls import ACSCall,patentsViewDownload,load_zipped_excel
+from APICalls import ACSCall,patentsViewDownload,load_zipped_excel,CBPCall
 from download_shapeData import SHAPES_PATH
 from toolbox import Handler, Indicator
 import pandas as pd
@@ -246,6 +246,8 @@ def __init__(self,occLevel=3,saveData=True,data_path='tables/innovation_data',qu
         self.RnD   = None
         self.IO_data = None
 
+        self.emp_msa_ind = None
+
         self.skills          = None
         self.knowledge       = None
         self.msa_skills      = None
@@ -469,6 +471,15 @@ def load_MSA_data(self):
             emp = emp[emp['GEOID'].isin(set(msas['GEOID']))]
             self.emp_msa = emp
 
+    def load_MSA_emp_byInd(self):
+        '''
+        Loads employment by industry for each MSA.
+        '''
+        self.load_MSA_data()
+        df = CBPCall(NAICS_lvl=3).rename(columns={'metropolitan statistical area/micropolitan statistical area':'MSA'})
+        df = df[df['MSA'].isin(set(self.pop_msa['GEOID']))]
+        self.emp_msa_ind = df
+
 
     def load_ZIP_data_byInd(self,year = '2016'):