deprecate python 3.8

Author: betaBison

.github/workflows/build_new_version.yml

@@ -18,7 +18,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ["3.8", "3.11", "3.12"]
+        python-version: ["3.9", "3.11", "3.12"]
         os: [ubuntu-latest, macos-latest, windows-latest]
       fail-fast : false
     defaults:

.gitignore

@@ -151,9 +151,6 @@ target/
 profile_default/
 ipython_config.py
 
-# pyenv
-# .python-version
-
 # pipenv
 #   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
 #   However, in case of collaboration, if having platform-specific dependencies or dependencies

.python-version

@@ -1 +1 @@
-3.8.9
+3.9.19

gnss_lib_py/parsers/google_decimeter.py

@@ -49,7 +49,7 @@ def __init__(self, input_path, remove_timing_outliers=True):
         derived_timestamps = pd_df['millisSinceGpsEpoch'].unique()
         mapper = dict(zip(derived_timestamps[1:],derived_timestamps[:-1]))
         pd_df = pd_df[pd_df['millisSinceGpsEpoch'] != derived_timestamps[0]]
-        pd_df.replace({"millisSinceGpsEpoch" : mapper},inplace=True)
+        pd_df["millisSinceGpsEpoch"] = pd_df["millisSinceGpsEpoch"].replace(mapper)
 
         # Correction 5 implemented verbatim from competition tips
         if remove_timing_outliers:

poetry.lock

@@ -17,9 +17,9 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.8, < 3.13"
+python = ">=3.9, < 3.13"
 numpy = "^1.21.0"
-pandas = "^2.0.0"
+pandas = "^2.2.0"
 georinex = "<=1.16.1"
 unlzw3 = "^0.2.1"
 pynmea2 = "^1.18.0"

pyproject.toml

@@ -135,9 +135,11 @@ def test_derived_df_equivalence(derived_path_2021, pd_df, derived_row_map):
     derived = google_decimeter.AndroidDerived2021(derived_path_2021,
                                remove_timing_outliers=False)
     measure_df = derived.pandas_df()
-    measure_df.replace({'gnss_id',"gps"},1,inplace=True)
-    measure_df.replace({'gnss_id',"glonass"},3,inplace=True)
-    measure_df.replace({'gnss_id',"galileo"},6,inplace=True)
+    gnss_id_map = {"gps":1,
+                   "glonass":3,
+                   "galileo":6,
+                   }
+    measure_df['gnss_id'] = measure_df['gnss_id'].replace(gnss_id_map)
     signal_map = {"GPS_L1" : "l1",
                   "GPS_L5" : "l5",
                   "GAL_E1" : "e1",
@@ -150,10 +152,13 @@ def test_derived_df_equivalence(derived_path_2021, pd_df, derived_row_map):
                   "BDS_B2A" : "b2a",
                  }
     for s_key, s_value in signal_map.items():
-        measure_df.replace({'signal_type',s_value},s_key,inplace=True)
+        measure_df['signal_type'] = measure_df['signal_type'].replace(s_value,s_key)
     measure_df.rename(columns=derived_row_map, inplace=True)
     measure_df = measure_df.drop(columns='corr_pr_m')
+    derived_timestamps = pd_df['millisSinceGpsEpoch'].unique()
+    mapper = dict(zip(derived_timestamps[1:],derived_timestamps[:-1]))
     pd_df = pd_df[pd_df['millisSinceGpsEpoch'] != pd_df.loc[0,'millisSinceGpsEpoch']]
+    pd_df["millisSinceGpsEpoch"] = pd_df["millisSinceGpsEpoch"].replace(mapper)
     pd_df.reset_index(drop=True, inplace=True)
     pd.testing.assert_frame_equal(pd_df.sort_index(axis=1),
                                   measure_df.sort_index(axis=1),