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
import Tconv
from Tconv import FCconv, KCconv, T_C, T_K, T_F
import pandas as pd
import numpy as np
from scrape_BS import scraping_allascii
# cf. http://stackoverflow.com/questions/7165749/open-file-in-a-relative-location-in-python
print os.path.dirname(__file__)
_Physique_dir = os.path.dirname(__file__)
_RAWDAT_DIR = "rawdata/"
print os.path.join(_Physique_dir,_RAWDAT_DIR)
lines,title,src,header,rawtbl,tbl=scraping_allascii(
os.path.join(_Physique_dir,_RAWDAT_DIR)+"allascii.txt")
FundConst = pd.DataFrame(tbl,columns=header)
conv = pd.read_pickle(
os.path.join(_Physique_dir,_RAWDAT_DIR)+"DF_conv"
)
plnfacts = pd.read_pickle(
os.path.join(_Physique_dir,_RAWDAT_DIR)+"DF_plnfacts"
)
############################################################################
import re
import decimal
from decimal import Decimal, InvalidOperation
import pandas as pd
import numpy as np
from scrape_BS import scraping_allascii, make_conv_lst, make_NASAPLNFACTS, make_Braeunig_ATMOS
###################################
#### Preprocessing for Pandas
### From a list
###################################
lines,title,src,header,rawtbl,tbl=scraping_allascii()
FundConst = pd.DataFrame(tbl,columns=header)
#########################
#### Examples of usage
#########################
# FundConst.columns ## Index([u'Quantity', u'Value', u'Uncertainty', u'Unit'], dtype='object')
# ks = FundConst[ FundConst["Quantity"].str.contains("Boltzmann") ]
## look at what you want and see the index; it happens to be 49 in this example.
# ks.loc[49,:]
# ks.loc[49,:].Quantity
## 'Boltzmann constant'
# ks.loc[49,:].Value
## Decimal('1.38064852E-23')
