refactor!: Remove utils.pair_plot function (#92)

The function is a single line and does not belong in `utils` module.
Moved the implementation directly to the only place where it is called:
`edvart.bivariate_analysis.PairPlot`.

BREAKING CHANGE: The function `utils.pair_plot` is removed.

edvart/report_sections/bivariate_analysis.py

@@ -667,7 +667,7 @@ def include_column(col: str) -> bool:
         if not allow_categorical:
             columns_x = list(filter(include_column, columns_x))
             columns_y = list(filter(include_column, columns_y))
-        utils.pair_plot(df, columns_x, columns_y, color_col=color_col)
+        sns.pairplot(df, x_vars=columns_x, y_vars=columns_y, hue=color_col)
         plt.tight_layout()
         plt.show()
 
@@ -690,9 +690,9 @@ def required_imports(self) -> List[str]:
                 )
             ]
         return [
-            "from edvart import utils",
             "from edvart.data_types import is_categorical, is_boolean",
             "import matplotlib.pyplot as plt",
+            "import seaborn as sns",
         ]
 
     def add_cells(self, cells: List[Dict[str, Any]]) -> None:

edvart/utils.py

@@ -2,10 +2,9 @@
 
 import os
 from contextlib import contextmanager
-from typing import Any, Dict, Iterable, Iterator, List, Literal, Optional, Tuple, Union
+from typing import Any, Dict, Iterable, Iterator, Literal, Optional, Tuple, Union
 
 import pandas as pd
-import seaborn as sns
 import statsmodels.api as sm
 
 
@@ -482,30 +481,6 @@ def _corr(df: pd.DataFrame, method: Literal["pearson", "kendall", "spearman"]) -
     return df.corr(method=method, numeric_only=True)
 
 
-def pair_plot(
-    df: pd.DataFrame,
-    columns_x: Optional[List[str]] = None,
-    columns_y: Optional[List[str]] = None,
-    color_col: Optional[str] = None,
-) -> None:
-    """
-    Plot a pairplot.
-
-    Parameters
-    ----------
-    df: pd.DataFrame
-        DataFrame used for pairplot
-    columns_x: List[str], optional
-        List of columns to plot on the x-axis.
-    columns_y : List[str], optional
-        List of columns to plot on the y-axis.
-    color_col : str, optional
-        Name of columns according to which to color points in the pairplot and univariate
-        distribution plots on the diagonals.
-    """
-    sns.pairplot(df, x_vars=columns_x, y_vars=columns_y, hue=color_col)
-
-
 def contingency_table(df: pd.DataFrame) -> pd.DataFrame:
     """
     Return contingency table.