def build_files(df, meta_function, meta_map, gen_2_dir, prefix, suffix):
filelist = []
countrylist = []
for iso3 in statmart_utils.get_index_set(df):
try:
idf = df.ix[iso3]
if type(idf) == pd.Series: #idf a Series if there is only one element in it, but we want a DataFrame always
idf = pd.DataFrame([idf])
idf = idf[["Year","Value","Source","Notes"]]
idf.columns = ["year","value","source","notes"]
idf["source"] = idf["source"].apply(lambda x : meta_map["source"])
idf["notes"] = idf["notes"].apply(lambda x : get_notes(str(x), meta_map))
filestem = prefix + "_" + iso3.lower() + "_" + suffix
filename = filestem + ".csv"
filepath = gen_2_dir + filename
idf.to_csv(filepath, encoding="utf8", index=False)
meta = meta_function(iso3, meta_map)
meta.append(("file", filename))
meta.append(("filehash", statmart_utils.githash(filepath)))
meta.append(("columns", "year,value,source,notes"))
metafile = gen_2_dir + filestem + "_meta.csv"
pd.DataFrame(meta,columns = ["key","value"]).to_csv(metafile, encoding="utf8", index=False)
filelist.append([filestem])
countrylist.append(statmart_utils.get_country_by_iso3(iso3))
except Exception as strerror:
print ("ERROR: Failed to build data for %s" % iso3)
print (strerror)
fldf = pd.DataFrame(filelist, index=countrylist).sort_index()
fldf.to_csv(gen_2_dir + "_" + prefix + ".csv", encoding="utf8", float_format='%.1f', index=False, header=False)
return fldf
def build_files(df, meta_function, meta_map, gen_2_dir, prefix, suffix):
filelist = []
countrylist = []
for iso3 in statmart_utils.get_index_set(df):
try:
idf = df.ix[iso3]
if type(
idf
) == pd.Series: #idf a Series if there is only one element in it, but we want a DataFrame always
idf = pd.DataFrame([idf])
idf = idf[["Year", "Value", "Source", "Notes"]]
idf.columns = ["year", "value", "source", "notes"]
idf["source"] = idf["source"].apply(lambda x: meta_map["source"])
idf["notes"] = idf["notes"].apply(
lambda x: get_notes(str(x), meta_map))
filestem = prefix + "_" + iso3.lower() + "_" + suffix
filename = filestem + ".csv"
filepath = gen_2_dir + filename
idf.to_csv(filepath, encoding="utf8", index=False)
meta = meta_function(iso3, meta_map)
meta.append(("file", filename))
meta.append(("filehash", statmart_utils.githash(filepath)))
meta.append(("columns", "year,value,source,notes"))
metafile = gen_2_dir + filestem + "_meta.csv"
pd.DataFrame(meta, columns=["key",
"value"]).to_csv(metafile,
encoding="utf8",
index=False)
filelist.append([filestem])
countrylist.append(statmart_utils.get_country_by_iso3(iso3))
except Exception as strerror:
print("ERROR: Failed to build data for %s" % iso3)
print(strerror)
fldf = pd.DataFrame(filelist, index=countrylist).sort_index()
fldf.to_csv(gen_2_dir + "_" + prefix + ".csv",
encoding="utf8",
float_format='%.1f',
index=False,
header=False)
return fldf
def parse_meta_file(metafile):
metamap = {}
mf = pd.read_csv(metafile, encoding="utf-8")
source = mf.ix[mf["Key"] == "source"]["Value"]
metamap["source"] = clip_period(source[source.index[0]])
indicator = mf.loc[mf["Key"] == "indicator"]["Value"]
metamap["indicator"] = clip_period(indicator[indicator.index[0]])
definition = mf.loc[mf["Key"] == "definition"]["Value"]
metamap["definition"] = clip_period(definition[definition.index[0]])
nf = mf.loc[mf["Key"] == "note"][["ID", "Value"]]
nf = nf.set_index(["ID"])
for index in statmart_utils.get_index_set(nf):
note = nf.ix[index]["Value"].strip()
note = clip_period(note)
metamap[index] = note
return metamap
def parse_meta_file(metafile):
metamap = {}
mf = pd.read_csv(metafile, encoding="utf-8")
source = mf.ix[mf["Key"] == "source"]["Value"]
metamap["source"] = clip_period(source[source.index[0]])
indicator = mf.loc[mf["Key"] == "indicator"]["Value"]
metamap["indicator"] = clip_period(indicator[indicator.index[0]])
definition = mf.loc[mf["Key"] == "definition"]["Value"]
metamap["definition"] = clip_period(definition[definition.index[0]])
nf = mf.loc[mf["Key"] == "note"][["ID","Value"]]
nf = nf.set_index(["ID"])
for index in statmart_utils.get_index_set(nf):
note = nf.ix[index]["Value"].strip()
note = clip_period(note)
metamap[index] = note
return metamap
