def demo2():
print "=" * 80
print "Demo 2"
print "=" * 80
print "Strings originales"
for s in testStrings:
print s
print ""
# df = pd.read_csv("audiencias-raw.csv")
# testStrings = df.lugar
clusters, counts = group_fingerprint_strings(testStrings)
print "Clusters encontrados"
pprint(clusters)
print ""
print "Conteos de strings"
pprint(counts)
print ""
# Para cada cluster tomo la string raw que resulte mas apta
d = get_best_replacements(clusters, counts)
print "Strings de replazo para cada key"
pprint(d)
print ""
# Reemplazo las keys que matchean el fingerprint una version
print "Output:"
for s in replace_by_key(d, testStrings):
print s
print ""
def string(self, field, sufix=None, sort_tokens=False,
remove_duplicates=False, keep_original=False, inplace=False):
"""Regla para todos los strings.
Aplica un algoritimo de clustering para normalizar strings que son
demasiado parecidos, sin pérdida de información.
Args:
field (str): Campo a limpiar.
Returns:
pandas.Series: Serie de strings limpios.
"""
sufix = sufix or self.DEFAULT_SUFIX
field = self._normalize_field(field)
series = self.df[field]
clusters, counts = group_fingerprint_strings(
series, sort_tokens=sort_tokens,
remove_duplicates=remove_duplicates)
replacements = get_best_replacements(clusters, counts)
parsed_series = pd.Series(replace_by_key(replacements, series))
parsed_series = parsed_series.str.strip()
if inplace:
self._update_series(field=field, sufix=sufix,
keep_original=keep_original,
new_series=parsed_series)
return parsed_series
def demo2():
print "=" * 80
print "Demo 2"
print "=" * 80
print "Strings originales"
for s in testStrings:
print s
print ""
# df = pd.read_csv("audiencias-raw.csv")
# testStrings = df.lugar
clusters, counts = group_fingerprint_strings(testStrings)
print "Clusters encontrados"
pprint(clusters)
print ""
print "Conteos de strings"
pprint(counts)
print ""
# Para cada cluster tomo la string raw que resulte mas apta
d = get_best_replacements(clusters, counts)
print "Strings de replazo para cada key"
pprint(d)
print ""
# Reemplazo las keys que matchean el fingerprint una version
print "Output:"
for s in replace_by_key(d, testStrings):
print s
print ""
