Add VT2-examples: all 6 chapters of 'Visualize This' (110 files) — data scraping, ETL, trends, categorical, multivariate, spatial, distribution analysis

VT2-examples/vt2-ch3-codedata-dir/convert-xml-to-csv.py

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+from bs4 import BeautifulSoup
+
+fields = None
+with open('income-scraped-to-xml.xml') as xmlfile:
+        
+    xmlread = xmlfile.read()
+    
+    soup = BeautifulSoup(xmlread, features='xml')
+    
+    # Start file
+    f = open('xml-back-to-csv.csv', 'w')
+    
+    # Write rows to file
+    f.write(",".join(['famindex', 'AGE', 'FTOTINC'])+'\n')
+    rows = soup.findAll('row')
+    for row in rows:
+        f.write(','.join([row.famindex.string, row.AGE.string, row.FTOTINC.string])+'\n')
+    
+    # Close file
+    f.close()