ruff reformating

Author: staskh

iglu_python/grade_eugly.py

@@ -20,7 +20,8 @@ def grade_eugly(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     lower : int, default=70
         Lower bound used for hypoglycemia cutoff, in mg/dL
     upper : int, default=140

iglu_python/grade_hyper.py

@@ -17,7 +17,8 @@ def grade_hyper(data: Union[pd.DataFrame, pd.Series, np.ndarray, list], upper: i
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     upper : int, default=140
         Upper bound used for hyperglycemia cutoff, in mg/dL
 

iglu_python/grade_hypo.py

@@ -17,7 +17,8 @@ def grade_hypo(data: Union[pd.DataFrame, pd.Series, np.ndarray, list], lower: in
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     lower : int, default=80
         Lower bound used for hypoglycemia cutoff, in mg/dL
 

iglu_python/hyper_index.py

@@ -20,7 +20,8 @@ def hyper_index(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     ULTR : int, default=140
         Upper Limit of Target Range, in mg/dL
     a : float, default=1.1

iglu_python/igc.py

@@ -26,7 +26,8 @@ def igc(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     LLTR : int, default=80
         Lower Limit of Target Range, in mg/dL
     ULTR : int, default=140

iglu_python/iqr_glu.py

@@ -16,7 +16,8 @@ def iqr_glu(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.DataFr
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
 
     Returns
     -------

iglu_python/lbgi.py

@@ -22,7 +22,8 @@ def lbgi(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.DataFrame
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns ['id', 'time', 'gl'] or Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns ['id', 'time', 'gl'] or Series of glucose values,
+        or a numpy array or list of glucose values
         in mg/dL
 
     Returns

iglu_python/m_value.py

@@ -23,7 +23,8 @@ def m_value(data: Union[pd.DataFrame, pd.Series, np.ndarray, list], r: float = 9
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, or a numpy array or list of glucose values
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
+        or a numpy array or list of glucose values
     r : float, default=90
         A reference value corresponding to basal glycemia in normal subjects