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
