def get_all_stats(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
_min, _max, _range = get_min_max_range_for_field(field_name, xform)
mode = get_mode_for_field(field_name, xform)
mean = get_mean_for_field(field_name, xform)
median = get_median_for_field(field_name, xform)
data[field_name] = {
'mean': round(mean, DECIMAL_PRECISION),
'median': median,
'mode': round(mode, DECIMAL_PRECISION),
'max': _max,
'min': _min,
'range': _range
}
return data
def get_all_stats(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
_min, _max, _range = get_min_max_range_for_field(field_name, xform)
mode = get_mode_for_field(field_name, xform)
mean = get_mean_for_field(field_name, xform)
median = get_median_for_field(field_name, xform)
data[field_name] = {
'mean': round(mean, DECIMAL_PRECISION),
'median': median,
'mode': round(mode, DECIMAL_PRECISION),
'max': _max,
'min': _min,
'range': _range
}
return data
def numeric_converter(self, json_dict, numeric_fields=None):
if numeric_fields is None:
numeric_fields = get_numeric_fields(self.xform)
for key, value in json_dict.items():
if isinstance(value, basestring) and key in numeric_fields:
converted_value = numeric_checker(value)
if converted_value:
json_dict[key] = converted_value
elif isinstance(value, dict):
json_dict[key] = self.numeric_converter(value, numeric_fields)
elif isinstance(value, list):
for k, v in enumerate(value):
if isinstance(v, basestring) and key in numeric_fields:
converted_value = numeric_checker(v)
if converted_value:
json_dict[key] = converted_value
elif isinstance(v, dict):
value[k] = self.numeric_converter(v, numeric_fields)
return json_dict
def numeric_converter(self, json_dict, numeric_fields=None):
if numeric_fields is None:
numeric_fields = get_numeric_fields(self.xform)
for key, value in json_dict.items():
if isinstance(value, basestring) and key in numeric_fields:
converted_value = numeric_checker(value)
if converted_value:
json_dict[key] = converted_value
elif isinstance(value, dict):
json_dict[key] = self.numeric_converter(value, numeric_fields)
elif isinstance(value, list):
for k, v in enumerate(value):
if isinstance(v, basestring) and key in numeric_fields:
converted_value = numeric_checker(v)
if converted_value:
json_dict[key] = converted_value
elif isinstance(v, dict):
value[k] = self.numeric_converter(v, numeric_fields)
return json_dict
def get_min_max_range(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
_min, _max, _range = get_min_max_range_for_field(field_name, xform)
data[field_name] = {'max': _max, 'min': _min, 'range': _range}
return data
def get_mode_for_numeric_fields_in_form(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
mode = get_mode_for_field(field_name, xform)
data.update({field_name: round(mode, DECIMAL_PRECISION)})
return data
def get_median_for_numeric_fields_in_form(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
median = get_median_for_field(field_name, xform)
data.update({field_name: median})
return data
def get_min_max_range(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
_min, _max, _range = get_min_max_range_for_field(field_name, xform)
data[field_name] = {'max': _max, 'min': _min, 'range': _range}
return data
def get_mode_for_numeric_fields_in_form(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
mode = get_mode_for_field(field_name, xform)
data.update({field_name: round(mode, DECIMAL_PRECISION)})
return data
def get_median_for_numeric_fields_in_form(xform, field=None):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
median = get_median_for_field(field_name, xform)
data.update({field_name: median})
return data
def get_mean_for_numeric_fields_in_form(xform, field):
data = {}
for field_name in [field] if field else get_numeric_fields(xform):
mean = get_mean_for_field(field_name, xform)
data.update({field_name: np.round(mean, DECIMAL_PRECISION)})
return data
