diff --git a/ocf_datapipes/config/model.py b/ocf_datapipes/config/model.py
index fc7b4713d..9c35ea0d0 100644
--- a/ocf_datapipes/config/model.py
+++ b/ocf_datapipes/config/model.py
@@ -319,9 +319,9 @@ class Sensor(DataSourceMixin, StartEndDatetimeMixin, TimeResolutionMixin, XYDime
     get_center: bool = Field(
         False,
         description="If the batches are centered on one Sensor system (or not). "
-                    "The other options is to have one GSP at the center of a batch. "
-                    "Typically, get_center would be set to true if and only if "
-                    "SensorDataSource is used to define the geospatial positions of each example.",
+        "The other options is to have one GSP at the center of a batch. "
+        "Typically, get_center would be set to true if and only if "
+        "SensorDataSource is used to define the geospatial positions of each example.",
     )
 
     sensor_filename: str = Field(
@@ -344,10 +344,11 @@ class Sensor(DataSourceMixin, StartEndDatetimeMixin, TimeResolutionMixin, XYDime
     live_load_extra_minutes: int = Field(
         0,
         description="The number of extra minutes in the past we should load. Then the recent "
-                    "values can be interpolated, and the extra minutes removed. This is "
-                    "because some live data takes ~1 hour to come in.",
+        "values can be interpolated, and the extra minutes removed. This is "
+        "because some live data takes ~1 hour to come in.",
     )
 
+
 class Satellite(DataSourceMixin, TimeResolutionMixin):
     """Satellite configuration model"""
 
diff --git a/ocf_datapipes/load/sensor/awos.py b/ocf_datapipes/load/sensor/awos.py
index 98b742680..15e4069bd 100644
--- a/ocf_datapipes/load/sensor/awos.py
+++ b/ocf_datapipes/load/sensor/awos.py
@@ -1,20 +1,16 @@
 """Load ASOS data from local files for training/inference"""
-import io
 import logging
-from datetime import datetime
-from pathlib import Path
-from typing import Optional, Union
 
 import fsspec
-import numpy as np
-import pandas as pd
 import xarray as xr
 from torchdata.datapipes import functional_datapipe
 from torchdata.datapipes.iter import IterDataPipe
+
 from ocf_datapipes.config.model import Sensor
 
 _log = logging.getLogger(__name__)
 
+
 @functional_datapipe("OpenAWOS")
 class OpenAWOSFromNetCDFIterDataPipe(IterDataPipe):
     """OpenAWOSFromNetCDFIterDataPipe"""
diff --git a/ocf_datapipes/validation/check_for_nans.py b/ocf_datapipes/validation/check_for_nans.py
index 830625d9a..421ce2a83 100644
--- a/ocf_datapipes/validation/check_for_nans.py
+++ b/ocf_datapipes/validation/check_for_nans.py
@@ -12,7 +12,11 @@ class CheckNaNsIterDataPipe(IterDataPipe):
     """Checks, and optionally fills, NaNs in Xarray Dataset"""
 
     def __init__(
-        self, source_datapipe: IterDataPipe, dataset_name: str = None, fill_nans: bool = False, fill_value: float = 0.0
+        self,
+        source_datapipe: IterDataPipe,
+        dataset_name: str = None,
+        fill_nans: bool = False,
+        fill_value: float = 0.0,
     ):
         """
         Checks and optionally fills NaNs in the data
@@ -41,7 +45,8 @@ def __iter__(self) -> Union[xr.DataArray, xr.Dataset]:
                     xr_data = self.fill_nan(data=xr_data, fill_value=self.fill_value)
                 else:
                     xr_data[self.dataset_name] = self.fill_nan(
-                        data=xr_data[self.dataset_name], fill_value=self.fill_value,
+                        data=xr_data[self.dataset_name],
+                        fill_value=self.fill_value,
                     )
             self.check_nan_and_inf(
                 data=xr_data if self.dataset_name is None else xr_data[self.dataset_name],
diff --git a/ocf_datapipes/visualization/batch.py b/ocf_datapipes/visualization/batch.py
index a842df8e5..f5005e28b 100644
--- a/ocf_datapipes/visualization/batch.py
+++ b/ocf_datapipes/visualization/batch.py
@@ -1,2 +1 @@
 """Visualization of batch data."""
-import numpy as np