def sorted_(data, l, series=False, i=False):
loc = Locale.forLanguageTag(l)
collator = Collator.createInstance(loc)
if isinstance(data, dict):
sorted_data = sorted(data.items(),
key=lambda x: collator.getSortKey(x[i]))
return dict(sorted_data)
def sorted_(data, l, series=False):
if (language_tailorings.get(l)):
tailored_lang = language_tailorings.get(l)
tailored_rules = collation_tailorings.get(tailored_lang)
collator = RuleBasedCollator(tailored_rules)
if isinstance(data, list) or isinstance(data, tuple) or isinstance(
data, str):
sorted_data = sorted(data, key=collator.getSortKey)
elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
sorted_data = df_sort(data, series, collator.getSortKey)
elif Locale.forLanguageTag(l):
loc = Locale.forLanguageTag(l)
collator = Collator.createInstance(loc)
if isinstance(data, list) or isinstance(data, tuple) or isinstance(
data, str):
sorted_data = sorted(data, key=collator.getSortKey)
elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
sorted_data = df_sort(data, series, collator.getSortKey)
else:
if isinstance(data, list) or isinstance(data, tuple) or isinstance(
data, str):
sorted_data = sorted(data)
elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
sorted_data = data.sort_values(by=series)
if isinstance(data, list):
return sorted_data
elif isinstance(data, tuple):
return tuple(sorted_data)
elif isinstance(data, str):
return ''.join(sorted_data)
else:
return sorted_data
# def sorted_(data,l, series=False, i=False):
# if (language_tailorings.get(l)):
# tailored_lang = language_tailorings.get(l)
# tailored_rules = collation_tailorings.get(tailored_lang)
# collator = RuleBasedCollator(tailored_rules)
# if isinstance(data, list) or isinstance(data, tuple) or isinstance(data, str):
# sorted_data = sorted(data, key=collator.getSortKey)
# elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
# sorted_data = df_sort(data, series, collator.getSortKey)
# elif isinstance(data, dict):
# sorted_data = sorted(data.items(), key = lambda x : collator.getSortKey(x[i]))
# elif Locale.forLanguageTag(l):
# loc = Locale.forLanguageTag(l)
# collator = Collator.createInstance(loc)
# if isinstance(data, list) or isinstance(data, tuple) or isinstance(data, str):
# sorted_data = sorted(data, key=collator.getSortKey)
# elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
# sorted_data = df_sort(data, series, collator.getSortKey)
# elif isinstance(data, dict):
# sorted_data = sorted(data.items(), key = lambda x : collator.getSortKey(x[i]))
# else:
# if isinstance(data, list) or isinstance(data, tuple) or isinstance(data, str):
# sorted_data = sorted(data)
# elif isinstance(data, pd.DataFrame) or isinstance(data, pd.Series):
# sorted_data = data.sort_values(by=series)
# elif isinstance(data, dict):
# sorted_data = sorted(data.items(), key = lambda x : x[i])
# if isinstance(data, list):
# return sorted_data
# elif isinstance(data, tuple):
# return tuple(sorted_data)
# elif isinstance(data, str):
# return ''.join(sorted_data)
# elif isinstance(data, dict):
# return dict(sorted_data)
# else:
# return sorted_data
# How to handle numpy arrays?
# Would it be better to use df.sort_values() for Pandas dataframes and series?
# https://stackoverflow.com/questions/62147537/how-do-i-do-a-natural-sort-in-pyicu
# https://gist.github.com/dpk/8325992
# https://ianwscott.blog/2015/04/30/python-programming-proper-alphabetical-sorting-for-polytonic-greek/