fix: fix more linting issues

Author: mvanwyk

.pre-commit-config.yaml

@@ -6,7 +6,7 @@ repos:
         args: ["--fix"]
       - id: ruff-format
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v5.0.0
     hooks:
       - id: trailing-whitespace
       - id: end-of-file-fixer

docs/examples/cross_shop.ipynb

@@ -238,7 +238,9 @@
    "source": [
     "shoes_idx = df[\"category_1_name\"] == \"Shoes\"\n",
     "df.loc[shoes_idx, \"category_1_name\"] = np.random.RandomState(42).choice(\n",
-    "    [\"Shoes\", \"Jeans\"], size=shoes_idx.sum(), p=[0.5, 0.5],\n",
+    "    [\"Shoes\", \"Jeans\"],\n",
+    "    size=shoes_idx.sum(),\n",
+    "    p=[0.5, 0.5],\n",
     ")"
    ]
   },

docs/examples/gain_loss.ipynb

@@ -254,7 +254,9 @@
     "# Reasign half the rows to Calvin Klein and leave the other half as Diesel\n",
     "p2_diesel_idx = time_period_2 & (df[\"brand_name\"] == \"Diesel\")\n",
     "df.loc[p2_diesel_idx, \"brand_name\"] = np.random.RandomState(42).choice(\n",
-    "    [\"Calvin Klein\", \"Diesel\"], size=p2_diesel_idx.sum(), p=[0.75, 0.25],\n",
+    "    [\"Calvin Klein\", \"Diesel\"],\n",
+    "    size=p2_diesel_idx.sum(),\n",
+    "    p=[0.75, 0.25],\n",
     ")\n",
     "\n",
     "# Apply a 20% discount to Calvin Klein products and increase the quantity by 50%\n",

docs/examples/segmentation.ipynb

@@ -701,10 +701,10 @@
     "    },\n",
     "    color=\"black\",\n",
     "    bbox={\n",
-    "        \"facecolor\":\"white\",\n",
-    "        \"edgecolor\":\"white\",\n",
-    "        \"boxstyle\":\"round,rounding_size=0.75\",\n",
-    "        \"pad\":0.75,\n",
+    "        \"facecolor\": \"white\",\n",
+    "        \"edgecolor\": \"white\",\n",
+    "        \"boxstyle\": \"round,rounding_size=0.75\",\n",
+    "        \"pad\": 0.75,\n",
     "    },\n",
     "    linespacing=1.5,\n",
     ")\n",

pyretailscience/analysis/cross_shop.py

@@ -1,6 +1,5 @@
 """This module contains the CrossShop class that is used to create a cross-shop diagram."""
 
-
 import ibis
 import matplotlib.pyplot as plt
 import pandas as pd

pyretailscience/analysis/haversine.py

@@ -21,6 +21,7 @@
 - **Requires Ibis-Compatible Backend**: Ensure your Ibis backend supports trigonometric functions.
 - **Assumes Spherical Earth**: Uses the Haversine formula, which introduces slight inaccuracies due to Earth's oblate shape.
 """
+
 import ibis
 
 

pyretailscience/plots/time.py

@@ -33,7 +33,6 @@
 - **Helper functions**: Utilizes utility functions from the `pyretailscience` package to handle styling, formatting, and other plot adjustments.
 """
 
-
 import numpy as np
 import pandas as pd
 from matplotlib.axes import Axes, SubplotBase

pyretailscience/plots/venn.py

@@ -22,6 +22,7 @@
 - **Pre-Aggregated Data Required**: The module does not perform data aggregation; input data should already be structured correctly.
 
 """
+
 from collections.abc import Callable
 
 import pandas as pd