Ejemplo n.º 1
0
def processMultiCountryFile(config):
    us.log(config)
    xlFile = getXLFile(config)
    multiIndex = excelToMultiIndex(xlFile, header=[1,2])
    cols = getTopCols(multiIndex)
    gen1Path = gen_1_dir + config["path"]
    us.mkdirs(gen1Path)
    prefix = us.format_lower_no_spaces(config["descriptor"])
    countryMap = {}
    for country in cols:
        lcountry = us.format_lower_no_spaces(country)
        us.log(country)
        if config["timeseries"]:
            try:
                (monthly, yearly, meta) = getTimeseriesDataSet(multiIndex, country, config)
                if len(monthly.index) and len(yearly.index) == 0:
                    yearly = build_annual_from_monthly(monthly, country)
                    
                countryMap[lcountry] = (monthly, yearly, meta)
                if len(yearly.index):
                    writeGen1XLS(yearly, meta, gen1Path, lcountry, prefix, "annual")
                if len(monthly.index):
                    writeGen1XLS(monthly, meta, gen1Path, lcountry, prefix, "monthly")
            except ValueError:
                print("********************** Unable to convert data for " + country)
                continue
        else:
            (data, meta) = getDataSet(multiIndex, country, config)
            countryMap[lcountry] = (data, meta)
            writeGen1XLS(data, meta, gen1Path, lcountry, prefix)
    return countryMap
Ejemplo n.º 2
0
def writeGen2CSV(data, meta, gen2Path, setName, prefix, suffix=""):
    data = data.rename(columns=lambda x: us.format_lower_no_spaces(x))
    saveAsCSV(data, gen2Path, setName, prefix, suffix)
    meta["Field"] = meta.index.map(us.format_lower_no_spaces)
    meta["English"] = meta.index
    cols = meta.columns.tolist()
    cols = cols[-2:] + cols[:-2]
    meta = meta[cols]
    meta = meta.rename(columns=lambda x: us.format_lower_no_spaces(x))
    sufx = "meta"
    if suffix:
        sufx = suffix + "_meta"
    saveAsCSV(meta, gen2Path, setName, prefix, sufx)
Ejemplo n.º 3
0
def writeGen2CSV(data, meta, gen2Path, setName, prefix, suffix=""):
    data = data.rename(columns=lambda x: us.format_lower_no_spaces(x))
    saveAsCSV(data, gen2Path, setName, prefix, suffix)
    meta["Field"] = meta.index.map(us.format_lower_no_spaces)
    meta["English"] = meta.index
    cols = meta.columns.tolist()
    cols = cols[-2:] + cols[:-2]
    meta = meta[cols]
    meta = meta.rename(columns=lambda x: us.format_lower_no_spaces(x))
    sufx = "meta"
    if suffix:
        sufx = suffix + "_meta"
    saveAsCSV(meta, gen2Path, setName, prefix, sufx)