Ruff sorting imports too

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ repos:
     # Run the linter.
       - id: ruff
         types_or: [ python, pyi ]  # Target Python files and type stub files
-        args: [ --fix ]  # Automatically fix linting issues if possible
+        args: ['check', '--select', 'I', '--fix', '.']
     # Run the formatter.
       - id: ruff-format
         types_or: [ python, pyi ]  # Format Python and stub files

src/classes/datafactory.py

@@ -8,6 +8,7 @@
 from dataclasses import dataclass, field
 from pathlib import Path
 from typing import List, Union
+
 import pedpy
 import requests  # type: ignore
 import streamlit as st

src/plotting/plots.py

@@ -5,6 +5,7 @@
 import logging
 from pathlib import Path
 from typing import Any, Dict, Optional, Tuple, TypeAlias
+
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np

src/tabs/LargeView_analysis.py

@@ -5,19 +5,18 @@
 from dataclasses import dataclass
 from math import ceil, floor
 from pathlib import Path
-from typing import Dict, Tuple, Any
+from typing import Any, Dict, Tuple
 
 import matplotlib.pyplot as plt
 import numpy as np
-
 import pandas as pd
 import plotly.figure_factory as ff
 import plotly.graph_objects as go
 import streamlit as st
 from numba import njit
+from numpy.typing import NDArray
 from scipy.signal import butter, filtfilt
 from tqdm import tqdm
-from numpy.typing import NDArray
 
 plt.rcParams["font.family"] = "STIXGeneral"
 

src/tabs/analysis_tab.py

@@ -19,7 +19,6 @@
 
 from ..classes.datafactory import load_file
 from ..docs.docs import density_speed, flow
-
 from ..helpers.utilities import (
     download,
     get_measurement_lines,

src/tabs/contacts_tab.py

@@ -1,8 +1,9 @@
 """Map of the gps trajectories coupled with the contacts locations."""
 
+from datetime import datetime
 from io import BytesIO
 from pathlib import Path
-from typing import Tuple, List, Dict, Union, Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import folium
 import gpxpy
@@ -14,10 +15,9 @@
 import seaborn as sns
 import streamlit as st
 from matplotlib import colormaps
+from matplotlib.figure import Figure as pltFigure
 from plotly.graph_objects import Figure
 from streamlit_folium import st_folium
-from datetime import datetime
-from matplotlib.figure import Figure as pltFigure
 
 
 def load_and_process_contacts_data(csv_path: Path, pickle_path: Path) -> None:

src/tabs/geometry_tab.py

@@ -1,6 +1,7 @@
 """Streamlit app to create an animation of pedestrian movements."""
 
 from pathlib import Path
+from typing import Tuple
 
 import numpy as np
 import pandas as pd
@@ -12,8 +13,6 @@
 from shapely.wkt import loads
 from streamlit.delta_generator import DeltaGenerator
 
-from typing import Tuple
-
 
 def load_data(pickle_name: str) -> pd.DataFrame:
     """