remove erroneous pylint init messages

Author: betaBison

gnss_lib_py/navdata/navdata.py

@@ -385,7 +385,7 @@ def rename(self, mapper=None, inplace=False):
                 self.str_map[new_name] = self.str_map.pop(old_name)
                 self.orig_dtypes[new_name] = self.orig_dtypes.pop(old_name)
             else:
-                new_navdata.map[new_name] = new_navdata.map.pop(old_name)
+                new_navdata.map[new_name] = new_navdata.map.pop(old_name) # pylint: disable=possibly-used-before-assignment
                 new_navdata.str_map[new_name] = new_navdata.str_map.pop(old_name)
                 new_navdata.orig_dtypes[new_name] = new_navdata.orig_dtypes.pop(old_name)
 
@@ -451,7 +451,7 @@ def replace(self, mapper=None, rows=None, inplace=False):
                 if inplace:
                     self[row] = np.array(new_row_values)
                 else:
-                    new_navdata[row] = np.array(new_row_values)
+                    new_navdata[row] = np.array(new_row_values) # pylint: disable=possibly-used-before-assignment
 
         if inplace:
             return None

gnss_lib_py/navdata/operations.py

@@ -148,7 +148,7 @@ def sort(navdata, order=None, ind=None, ascending=True,
         if inplace:
             navdata.array[row_idx,:] = navdata.array[row_idx,ind]
         else:
-            new_navdata.array[row_idx,:] = new_navdata.array[row_idx,ind]
+            new_navdata.array[row_idx,:] = new_navdata.array[row_idx,ind] # pylint: disable=possibly-used-before-assignment
 
     if inplace:
         return None
@@ -248,7 +248,7 @@ def interpolate(navdata, x_row, y_rows, inplace=False, *args):
             navdata[y_row,nan_idxs] = np.interp(x_vals, xp_vals,
                                              yp_vals, *args)
         else:
-            new_navdata[y_row,nan_idxs] = np.interp(x_vals, xp_vals,
+            new_navdata[y_row,nan_idxs] = np.interp(x_vals, xp_vals, # pylint: disable=possibly-used-before-assignment
                                                     yp_vals, *args)
     if inplace:
         return None

gnss_lib_py/parsers/nmea.py

@@ -139,19 +139,19 @@ def __init__(self, input_path, msg_types=None,
         # As per `gnss_lib_py` standards, convert the heading from degrees
         # to radians
         pd_df['true_course_rad'] = (np.pi/180.)*pd_df['true_course']\
-                                                .replace("",pd.NA)\
+                                                .replace("",np.nan)\
                                                 .bfill()\
                                                 .ffill()\
                                                 .astype(float)
         # Convert the given altitude value to float based on the given units
 
         # Assuming that altitude units are always meters
-        pd_df['altitude'] = pd_df['altitude'].replace("",pd.NA)\
+        pd_df['altitude'] = pd_df['altitude'].replace("",np.nan)\
                                              .bfill()\
                                              .ffill()\
                                              .astype(float)
         pd_df["num_sats"] = pd_df["num_sats"].fillna(value=0).astype('int64')
-        pd_df = pd_df.fillna(value=np.nan).replace("",pd.NA)
+        pd_df = pd_df.fillna(value=np.nan).replace("",np.nan)
         convert_dict={
                'num_sats' : np.int64,
                'gps_qual' : np.int64,

gnss_lib_py/parsers/rinex_nav.py

@@ -131,7 +131,7 @@ def preprocess(self, rinex_paths, satellites):
                         self.iono_params[start_gps_millis].keys():
                             self.iono_params[start_gps_millis][constellation] \
                             = value
-            #TODO: Find a more pythonic way to do this^
+
         data.reset_index(inplace=True, drop=True)
         data.sort_values('time', inplace=True, ignore_index=True)
 

gnss_lib_py/parsers/sp3.py

@@ -65,6 +65,7 @@ def __init__(self, input_paths):
                 data = [line.strip() for line in infile]
 
             # Loop through each line
+            gps_millis_timestep = 0
             for dval in data:
                 if len(dval) == 0:
                     # No data