def _format_dict(_val):
if not is_dict(_val):
return _val
for k, v in _val.items():
if is_dict(v):
if len(v) == 1:
_val[k] = next(iter(v.values()))
else:
if len(_val) == 1:
_val = v
return _val
def parse_col_names_funcs_to_keys(data):
"""
Helper function that return a formatted json with function:value inside columns. Transform from
{'max_antiguedad_anos': 15,
'max_m2_superficie_construida': 1800000,
'min_antiguedad_anos': 2,
'min_m2_superficie_construida': 20}
to
{'m2_superficie_construida': {'min': 20, 'max': 1800000}, 'antiguedad_anos': {'min': 2, 'max': 15}}
:param data: json data
:return: json
"""
functions_array = ["min", "max", "stddev", "kurtosis", "mean", "skewness", "sum", "variance",
"approx_count_distinct", "na", "zeros", "percentile"]
_result = {}
if is_dict(data):
for k, v in data.items():
for f in functions_array:
temp_func_name = f + "_"
if k.startswith(temp_func_name):
_col_name = k[len(temp_func_name):]
# If the value is numeric only get 5 decimals
if is_numeric(v):
v = round(v, 5)
_result.setdefault(_col_name, {})[f] = v
else:
if is_numeric(data):
data = round(data, 5)
_result = data
return _result