def make_pd_conv_1st(filename="DF_conv"): """ make_pd_conv_lst DESCRIPTION run make_pd_conv_1st first to put the panda DataFrame saved locally """ headers,convdata,convdata2 = make_conv_lst() DF_conv = pd.DataFrame(convdata2,columns=headers) DF_conv.to_pickle('./rawdata/'+filename) return DF_conv
def main(): scrapedascii = scraping_allascii() output = toSQLfrompreprocessed(NISTPhysicalConstant,scrapedascii[3], scrapedascii[5]) session.add_all( output ) session.commit() headers, convdata, convdata2 = make_conv_lst() output2 = toSQLfrompreprocessed(NISTConversionFactor, headers, convdata2) session.add_all( output2 ) session.commit() session.close() return output, output2
def main(): scrapedascii = scraping_allascii() tbl = liteprocess( scrapedascii[4] ) output = toSQLitefrompreprocessed(NISTPhysicalConstantLite,scrapedascii[3], tbl) session.add_all(output) session.commit() headers, convdata, convdata2 = make_conv_lst() output2 = toSQLitefrompreprocessed(NISTConversionFactorLite, headers, liteprocessconvfact(convdata2)) session.add_all( output2 ) session.commit() session.close() return output, output2
def main(): scrapedascii = scraping_allascii() tbl = liteprocess(scrapedascii[4]) output = toSQLitefrompreprocessed(NISTPhysicalConstantLite, scrapedascii[3], tbl) session.add_all(output) session.commit() headers, convdata, convdata2 = make_conv_lst() output2 = toSQLitefrompreprocessed(NISTConversionFactorLite, headers, liteprocessconvfact(convdata2)) session.add_all(output2) session.commit() session.close() return output, output2