Remove superfluous filter (#20)

agcounts/extract.py

@@ -55,14 +55,7 @@ def _resample(
             logger.error("Interpolating needs MNE. Please install MNE.")
             raise ImportError("mne")
         else:
-            raw = mne_filter.filter_data(
-                raw,
-                sfreq=frequency,
-                l_freq=None,
-                h_freq=15,
-                verbose=30,
-            )
-        downsample_data = mne_filter.resample(raw, down=frequency / 30)
+            downsample_data = mne_filter.resample(raw, down=frequency / 30)
     else:
         upsample_factor, downsample_factor = _factors(frequency)
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "agcounts"
-version = "0.2.1"
+version = "0.2.2"
 description = "This project contains code to generate activity counts from accelerometer data."
 authors = ["Actigraph LLC <[email protected]>"]
 maintainers = ["Ali Neishabouri <[email protected]>"]
@@ -17,7 +17,7 @@ mne = ">=1.4.0"
 
 [tool.poetry.dev-dependencies]
 black = "^23.9.1"
-mypy = "^1.5.1"
+mypy = ">=1.5.1"
 flake8 = "^6.1.0"
 pydocstyle = "^6.3.0"
 pytest = "^7.4.2"

tests/conftest.py

@@ -65,8 +65,8 @@ def cp_counts(request):
     counts = pd.read_csv(
         cp_data_path / f"raw_{epoch}_{freq}_CentrePointCounts.csv", skiprows=0
     )
-    counts = counts[["X (axis 2)", "Y (axis 1)", "Z (axis3)"]].to_numpy()
-    return counts
+    counts_axes = counts[["X (axis 2)", "Y (axis 1)", "Z (axis3)"]].to_numpy()
+    return counts_axes
 
 
 @pytest.fixture
@@ -75,8 +75,8 @@ def al_counts(request):
     counts = pd.read_csv(
         al_data_path / f"raw_{epoch}_{freq}_counts{epoch}sec.csv", skiprows=10
     )
-    counts = counts[["Axis2", "Axis1", "Axis3"]].to_numpy()
-    return counts
+    counts_axes = counts[["Axis2", "Axis1", "Axis3"]].to_numpy()
+    return counts_axes
 
 
 @pytest.fixture