diff --git a/assets/scatter_plots_all_grid.png b/assets/scatter_plots_grid.png similarity index 100% rename from assets/scatter_plots_all_grid.png rename to assets/scatter_plots_grid.png diff --git a/docs/_images/scatter_plots_grid.png b/docs/_images/scatter_plots_grid.png index 5a51facd8..78652ac74 100644 Binary files a/docs/_images/scatter_plots_grid.png and b/docs/_images/scatter_plots_grid.png differ diff --git a/docs/_sources/changelog.rst.txt b/docs/_sources/changelog.rst.txt index e2a4f46ee..81e95ca2a 100644 --- a/docs/_sources/changelog.rst.txt +++ b/docs/_sources/changelog.rst.txt @@ -24,6 +24,63 @@ Changelog ========= +`Version 0.0.14`_ +---------------------- + +.. _Version 0.0.14: https://lshpaner.github.io/eda_toolkit/v0.0.14/index.html + +Ensure Crosstabs Dictionary is Populated with ``return_dict=True`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This resolves the issue where the ``stacked_crosstab_plot`` function fails to +populate and return the crosstabs dictionary (``crosstabs_dict``) when +``return_dict=True`` and ``output="plots_only"``. The fix ensures that crosstabs +are always generated when ``return_dict=True``, regardless of the output parameter. + +- Always Generate Crosstabs with ``return_dict=True``: + + - Added logic to ensure crosstabs are created and populated in ``crosstabs_dict`` whenever ``return_dict=True``, even if the output parameter is set to ``"plots_only"``. + +- Separation of Crosstabs Display from Generation: + + - The generation of crosstabs is now independent of the output parameter. + - Crosstabs display (``print``) occurs only when output includes ``"both"`` or ``"crosstabs_only"``. + +Enhancements and Fixes for ``scatter_fit_plot`` Function +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This addresses critical issues and introduces key enhancements for the ``scatter_fit_plot`` function. +These changes aim to improve usability, flexibility, and robustness of the function. + +1. Added ``exclude_combinations`` Parameter. Users can now exclude specific variable pairs from being plotted by providing a list of tuples with the combinations to omit. + +2. Added ``combinations`` Parameter to ``show_plot``. Users can also now show just the list of combinations that are part of the selection process when ``all_vars=True``. + +3. When plotting a single variable pair with ``show_plot="both"``, the function threw an ``AttributeError``. Single-variable pairs are now properly handled. + +4. Changed the default value of ``show_plot`` to ``"both"`` to prevent excessive individual plots when handling large variable sets. + +5. Fixed Issues with Legend, ``xlim``, and ``ylim``; inputs were not being used; these have been corrected. + + +Fix Default Title and Filename Handling in ``flex_corr_matrix`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This resolves issues in the ``flex_corr_matrix`` function where: + +1. No default title was provided when ``title=None``, resulting in missing titles on plots. +2. Saved plot filenames were incorrect, leading to issues like ``.png.png`` when ``title`` was not provided. + +The fix ensures that a default title ("Correlation Matrix") is used for both plot display and file saving when no ``title`` +is explicitly provided. If ``title`` is explicitly set to ``None``, the plot will have no title, +but the saved filename will still use ``"correlation_matrix"``. + +1. If no ``title`` is provided, ``"Correlation Matrix"`` is used as the default for filenames and displayed titles. If ``title=None`` is explicitly passed, no title is displayed on the plot. + +2. File names are generated based on the ``title`` or default to ``"correlation_matrix"`` if ``title`` is not provided. Spaces in the ``title`` are replaced with underscores, and special characters like ``:`` are removed to ensure valid filenames. + + + `Version 0.0.13`_ ---------------------- diff --git a/docs/_sources/eda_plots.rst.txt b/docs/_sources/eda_plots.rst.txt index c5fa3af87..1e79ec811 100644 --- a/docs/_sources/eda_plots.rst.txt +++ b/docs/_sources/eda_plots.rst.txt @@ -2931,7 +2931,7 @@ These settings allow for the creation of scatter plots that comprehensively expl
-.. image:: ../assets/scatter_plots_all_grid.png +.. image:: ../assets/scatter_plots_grid.png :alt: Scatter Plot Comparisons (Grouped2) :align: center :width: 900px diff --git a/docs/changelog.html b/docs/changelog.html index 4e5e9e118..c66148aec 100644 --- a/docs/changelog.html +++ b/docs/changelog.html @@ -88,6 +88,12 @@
  • Contributors/Maintainers
  • Citing EDA Toolkit
  • Changelog

    • Changelog

    +
    +

    Version 0.0.14

    +
    +

    Ensure Crosstabs Dictionary is Populated with return_dict=True

    +

    This resolves the issue where the stacked_crosstab_plot function fails to +populate and return the crosstabs dictionary (crosstabs_dict) when +return_dict=True and output="plots_only". The fix ensures that crosstabs +are always generated when return_dict=True, regardless of the output parameter.

    +
      +

    • Always Generate Crosstabs with return_dict=True:

      +
        +

      • Added logic to ensure crosstabs are created and populated in crosstabs_dict whenever return_dict=True, even if the output parameter is set to "plots_only".

        • +
      +
      • +

    • Separation of Crosstabs Display from Generation:

      +
        +

      • The generation of crosstabs is now independent of the output parameter.

        • +

      • Crosstabs display (print) occurs only when output includes "both" or "crosstabs_only".

        • +
      +
      • +
    +
    +
    +

    Enhancements and Fixes for scatter_fit_plot Function

    +

    This addresses critical issues and introduces key enhancements for the scatter_fit_plot function. +These changes aim to improve usability, flexibility, and robustness of the function.

    +
      +

    1. Added exclude_combinations Parameter. Users can now exclude specific variable pairs from being plotted by providing a list of tuples with the combinations to omit.

      2. +

    2. Added combinations Parameter to show_plot. Users can also now show just the list of combinations that are part of the selection process when all_vars=True.

      3. +

    3. When plotting a single variable pair with show_plot="both", the function threw an AttributeError. Single-variable pairs are now properly handled.

      4. +

    4. Changed the default value of show_plot to "both" to prevent excessive individual plots when handling large variable sets.

      5. +

    5. Fixed Issues with Legend, xlim, and ylim; inputs were not being used; these have been corrected.

      6. +
    +
    +
    +

    Fix Default Title and Filename Handling in flex_corr_matrix

    +

    This resolves issues in the flex_corr_matrix function where:

    +
      +

    1. No default title was provided when title=None, resulting in missing titles on plots.

      2. +

    2. Saved plot filenames were incorrect, leading to issues like .png.png when title was not provided.

      3. +
    +

    The fix ensures that a default title (“Correlation Matrix”) is used for both plot display and file saving when no title +is explicitly provided. If title is explicitly set to None, the plot will have no title, +but the saved filename will still use "correlation_matrix".

    +
      +

    1. If no title is provided, "Correlation Matrix" is used as the default for filenames and displayed titles. If title=None is explicitly passed, no title is displayed on the plot.

      2. +

    2. File names are generated based on the title or default to "correlation_matrix" if title is not provided. Spaces in the title are replaced with underscores, and special characters like : are removed to ensure valid filenames.

      3. +
    +
    +

    Version 0.0.13

    This version introduces a series of updates and fixes across multiple functions to enhance error handling, improve cross-environment compatibility, streamline usability, and optimize performance. These changes address critical issues, add new features, and ensure consistent behavior in both terminal and notebook environments.

    @@ -827,8 +883,8 @@

    Version 0.0.1b0stacked_crosstab_plot function, allowing for more customizable and specific plot generation based on user requirements.

    -
    -

    Version 0.0.1b0

    +
    +

    Version 0.0.1b0

    Refined KDE Distributions

    Key Changes

      @@ -846,8 +902,8 @@

      Version 0.0.1b0 -

      Version 0.0.1b0

      +
      +

      Version 0.0.1b0

      Enhanced KDE Distributions Function

      Added Parameters

        @@ -929,8 +985,8 @@

        Version 0.0.1b0 -

        Version 0.0.1b0

        +
        +

        Version 0.0.1b0

        Contingency Table Updates

        • fillna('') added to output so that null values come through, removed 'All' column name from output, sort options 0 and 1, updated docstring documentation. Tested successfully on Python 3.7.3.

          • diff --git a/docs/eda_plots.html b/docs/eda_plots.html index 80b72cb03..213920f2f 100644 --- a/docs/eda_plots.html +++ b/docs/eda_plots.html @@ -2353,7 +2353,7 @@

          Regression-Centric Scatter Plots Example) -
          Scatter Plot Comparisons (with Best Fit Lines) +
          Scatter Plot Comparisons (with Best Fit Lines)

        @@ -2437,7 +2437,7 @@

        Scatter Plots (All Combinations Example)) -
        Scatter Plot Comparisons (Grouped2) +
        Scatter Plot Comparisons (Grouped2)

        diff --git a/docs/index.html b/docs/index.html index e59808d38..7dd52bc4b 100644 --- a/docs/index.html +++ b/docs/index.html @@ -321,6 +321,12 @@

        Table of ContentsContributors/Maintainers
      1. Citing EDA Toolkit
      2. Changelog
          +
        • Version 0.0.14 +
        • Version 0.0.13
        • References
          • diff --git a/docs/objects.inv b/docs/objects.inv index b71df91a5..6f838b193 100644 Binary files a/docs/objects.inv and b/docs/objects.inv differ diff --git a/docs/searchindex.js b/docs/searchindex.js index f3bfffee1..52a596e17 100644 --- a/docs/searchindex.js +++ b/docs/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"2D Partial Dependence Plots": [[6, "d-partial-dependence-plots"]], "2D Plots - CA Housing Example": [[6, "d-plots-ca-housing-example"]], "3D Partial Dependence Plots": [[6, "id19"]], "3D Plots - CA Housing Example": [[6, "id21"]], "ASCII Art": [[1, null]], "ASCII Art Collection": [[1, "ascii-art-collection"]], "About EDA Toolkit": [[8, null]], "Acknowledgements": [[0, null]], "Add Environment Detection to dataframe_columns Function": [[2, "add-environment-detection-to-dataframe-columns-function"]], "Add ValueError for Insufficient Pool Size in add_ids and Enhance ID Deduplication": [[2, "add-valueerror-for-insufficient-pool-size-in-add-ids-and-enhance-id-deduplication"]], "Add tqdm Progress Bar to dataframe_columns Function": [[2, "add-tqdm-progress-bar-to-dataframe-columns-function"]], "Adding Unique Identifiers": [[5, "adding-unique-identifiers"]], "Applications in Modeling": [[10, "applications-in-modeling"]], "Available Scale Conversions": [[6, "available-scale-conversions"]], "Binning Numerical Columns": [[5, "binning-numerical-columns"]], "Box Plots Grid Example": [[6, "box-plots-grid-example"]], "Box and Violin Plots": [[6, "box-and-violin-plots"]], "Box-Cox Transformation": [[10, "box-cox-transformation"]], "Box-Cox Transformation Example 1": [[6, "box-cox-transformation-example-1"]], "Box-Cox Transformation Example 2": [[6, "box-cox-transformation-example-2"]], "Calculation Details": [[5, "calculation-details"]], "Census Income Example": [[5, "census-income-example"]], "Centering Data Using the Median": [[10, "centering-data-using-the-median"]], "Changelog": [[2, null]], "Changes in stacked_crosstab_plot": [[2, "changes-in-stacked-crosstab-plot"]], "Citing EDA Toolkit": [[3, null]], "Confidence Intervals for Lambda": [[10, "confidence-intervals-for-lambda"]], "Contributors/Maintainers": [[4, null]], "Correlation Matrices": [[6, "correlation-matrices"]], "Creating Contingency Tables": [[5, "creating-contingency-tables"]], "Creating Effective Visualizations": [[6, null]], "Data Fraction Usage": [[6, "data-fraction-usage"]], "Data Management": [[8, null]], "Data Management Overview": [[5, null]], "Data Management Techniques": [[5, "data-management-techniques"]], "DataFrame Analysis": [[5, "dataframe-analysis"]], "DataFrame Column Names": [[5, "dataframe-column-names"]], "Description": [[7, "description"]], "Enhance strip_trailing_period to Support Strings and Mixed Data Types": [[2, "enhance-strip-trailing-period-to-support-strings-and-mixed-data-types"]], "Example 1": [[6, "example-1"]], "Example 2": [[6, "example-2"]], "Example Calculation": [[10, "example-calculation"]], "Examples": [[1, "examples"]], "Explanation of Each Component": [[10, "explanation-of-each-component"]], "Feature Scaling and Outliers": [[6, "feature-scaling-and-outliers"]], "Features": [[1, "features"]], "Full Correlation Matrix Example": [[6, "full-correlation-matrix-example"]], "Gaussian Assumption for Normality": [[10, null]], "Generating Summary Tables for Variable Combinations": [[5, "generating-summary-tables-for-variable-combinations"]], "Getting Started": [[8, null]], "Heuristics for Visualizations": [[6, "heuristics-for-visualizations"]], "Highlighting Specific Columns in a DataFrame": [[5, "highlighting-specific-columns-in-a-dataframe"]], "Histogram Example (Count)": [[6, "histogram-example-count"]], "Histogram Example (Density)": [[6, "histogram-example-density"]], "Histogram Example - (Mean and Median)": [[6, "histogram-example-mean-and-median"]], "Histogram Example - (Mean, Median, and Std. 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"valueerror": 2, "variabl": 5, "version": 2, "violin": 6, "visual": 6, "welcom": 7, "what": 7, "yeo": 10}}) \ No newline at end of file diff --git a/docs/v0.0.10/.doctrees/environment.pickle b/docs/v0.0.10/.doctrees/environment.pickle index b62914952..994429ee8 100644 Binary files a/docs/v0.0.10/.doctrees/environment.pickle and b/docs/v0.0.10/.doctrees/environment.pickle differ diff --git a/docs/v0.0.10/data_management.html b/docs/v0.0.10/data_management.html index ca85634d7..a8fe117f4 100644 --- a/docs/v0.0.10/data_management.html +++ b/docs/v0.0.10/data_management.html @@ -162,7 +162,7 @@

          Path directoriesensure_directory(path)
          Parameters:
          -

          path (str) – The path to the directory that needs to be ensured.

          +

          path (str) – The path to the directory that needs to be ensured.

          Returns:

          None

          @@ -231,10 +231,10 @@

          Adding Unique IdentifiersParameters:

          • df (pd.DataFrame) – The dataframe to add IDs to.

            • -

          • id_colname (str, optional) – The name of the new column for the IDs. Defaults to "ID".

            • -

          • num_digits (int, optional) – The number of digits for the unique IDs. Defaults to 9.

            • -

          • seed (int, optional) – The seed for the random number generator. Defaults to None.

            • -

          • set_as_index (bool, optional) – Whether to set the new ID column as the index. Defaults to False.

            • +

          • id_colname (str, optional) – The name of the new column for the IDs. Defaults to "ID".

            • +

          • num_digits (int, optional) – The number of digits for the unique IDs. Defaults to 9.

            • +

          • seed (int, optional) – The seed for the random number generator. Defaults to None.

            • +

          • set_as_index (bool, optional) – Whether to set the new ID column as the index. Defaults to False.

          Returns:
          @@ -403,7 +403,7 @@

          Trailing Period RemovalParameters:
          Returns:
          @@ -532,16 +532,16 @@

          Standardized Dates
          Parameters:
          -

          date_str (str) – A date string to be standardized.

          +

          date_str (str) – A date string to be standardized.

          Returns:

          A standardized date string in the format YYYY-MM-DD.

          Return type:
          -

          str

          +

          str

          Raises:
          -

          ValueError – If date_str is in an unrecognized format or if the function +

          ValueError – If date_str is in an unrecognized format or if the function cannot parse the date.

          @@ -621,9 +621,9 @@

          DataFrame AnalysisParameters:

          • df (pandas.DataFrame) – The DataFrame to analyze.

            • -

          • background_color (str, optional) – Hex color code or color name for background styling in the output +

          • background_color (str, optional) – Hex color code or color name for background styling in the output DataFrame. Defaults to None.

            • -

          • return_df (bool, optional) – If True, returns the plain DataFrame with the summary statistics. If +

          • return_df (bool, optional) – If True, returns the plain DataFrame with the summary statistics. If False, returns a styled DataFrame for visual presentation. Defaults to False.

          @@ -875,17 +875,17 @@

          Generating Summary Tables for Variable CombinationsParameters:

          • df (pandas.DataFrame) – The pandas DataFrame containing the data.

            • -

          • variables (list of str) – List of column names from the DataFrame to generate combinations.

            • -

          • data_path (str) – Path where the output Excel file will be saved.

            • -

          • data_name (str) – Name of the output Excel file.

            • -

          • min_length (int, optional) – Minimum size of the combinations to generate. Defaults to 2.

            • +

          • variables (list of str) – List of column names from the DataFrame to generate combinations.

            • +

          • data_path (str) – Path where the output Excel file will be saved.

            • +

          • data_name (str) – Name of the output Excel file.

            • +

          • min_length (int, optional) – Minimum size of the combinations to generate. Defaults to 2.

          Returns:

          A tuple containing a dictionary of summary tables and a list of all generated combinations.

          Return type:
          -

          tuple(dict, list)

          +

          tuple(dict, list)

          @@ -1081,9 +1081,9 @@

          Saving DataFrames to Excel with Customized Formatting
          Parameters:
            -

          • file_path (str) – Full path to the output Excel file.

            • -

          • df_dict (dict) – Dictionary where keys are sheet names and values are DataFrames to save.

            • -

          • decimal_places (int) – Number of decimal places to round numeric columns. Default is 0.

            • +

          • file_path (str) – Full path to the output Excel file.

            • +

          • df_dict (dict) – Dictionary where keys are sheet names and values are DataFrames to save.

            • +

          • decimal_places (int) – Number of decimal places to round numeric columns. Default is 0.

          @@ -1143,12 +1143,12 @@

          Creating Contingency TablesParameters:

          • df (pandas.DataFrame) – The DataFrame to analyze.

            • -

          • cols (str or list of str, optional) – Name of the column (as a string) for a single column or list of column names for multiple columns. Must provide at least one column.

            • -

          • sort_by (int, optional) – Enter 0 to sort results by column groups; enter 1 to sort results by totals in descending order. Defaults to 0.

            • +

          • cols (str or list of str, optional) – Name of the column (as a string) for a single column or list of column names for multiple columns. Must provide at least one column.

            • +

          • sort_by (int, optional) – Enter 0 to sort results by column groups; enter 1 to sort results by totals in descending order. Defaults to 0.

          Raises:
          -

          ValueError – If no columns are specified or if sort_by is not 0 or 1.

          +

          ValueError – If no columns are specified or if sort_by is not 0 or 1.

          Returns:

          A DataFrame containing the contingency table with the specified columns, a 'Total' column representing the count of occurrences, and a 'Percentage' column representing the percentage of the total count.

          @@ -1211,8 +1211,8 @@

          Highlighting Specific Columns in a DataFrameParameters:

          • df (pandas.DataFrame) – The DataFrame to be styled.

            • -

          • columns (list of str) – List of column names to be highlighted.

            • -

          • color (str, optional) – The background color to be applied for highlighting (default is “yellow”).

            • +

          • columns (list of str) – List of column names to be highlighted.

            • +

          • color (str, optional) – The background color to be applied for highlighting (default is “yellow”).

          Returns:
          diff --git a/docs/v0.0.10/eda_plots.html b/docs/v0.0.10/eda_plots.html index d8f2c6496..b204bbd92 100644 --- a/docs/v0.0.10/eda_plots.html +++ b/docs/v0.0.10/eda_plots.html @@ -339,50 +339,50 @@

          KDE Distribution FunctionParameters:

          • df (pandas.DataFrame) – The DataFrame containing the data to plot.

            • -

          • vars_of_interest (list of str, optional) – List of column names for which to generate distribution plots. If ‘all’, plots will be generated for all numeric columns.

            • -

          • figsize (tuple of int, optional) – Size of each individual plot, default is (5, 5). Used when only one plot is being generated or when saving individual plots.

            • -

          • grid_figsize (tuple of int, optional) – Size of the overall grid of plots when multiple plots are generated in a grid. Ignored when only one plot is being generated or when saving individual plots. If not specified, it is calculated based on figsize, n_rows, and n_cols.

            • -

          • hist_color (str, optional) – Color of the histogram bars, default is '#0000FF'.

            • -

          • kde_color (str, optional) – Color of the KDE plot, default is '#FF0000'.

            • -

          • mean_color (str, optional) – Color of the mean line if plot_mean is True, default is '#000000'.

            • -

          • median_color (str, optional) – Color of the median line if plot_median is True, default is '#000000'.

            • -

          • hist_edgecolor (str, optional) – Color of the histogram bar edges, default is '#000000'.

            • -

          • hue (str, optional) – Column name to group data by, adding different colors for each group.

            • -

          • fill (bool, optional) – Whether to fill the histogram bars with color, default is True.

            • -

          • fill_alpha (float, optional) – Alpha transparency for the fill color of the histogram bars, where 0 is fully transparent and 1 is fully opaque. Default is 1.

            • -

          • n_rows (int, optional) – Number of rows in the subplot grid. If not provided, it will be calculated automatically.

            • -

          • n_cols (int, optional) – Number of columns in the subplot grid. If not provided, it will be calculated automatically.

            • -

          • w_pad (float, optional) – Width padding between subplots, default is 1.0.

            • -

          • h_pad (float, optional) – Height padding between subplots, default is 1.0.

            • -

          • image_path_png (str, optional) – Directory path to save the PNG image of the overall distribution plots.

            • -

          • image_path_svg (str, optional) – Directory path to save the SVG image of the overall distribution plots.

            • -

          • image_filename (str, optional) – Filename to use when saving the overall distribution plots.

            • -

          • bbox_inches (str, optional) – Bounding box to use when saving the figure. For example, 'tight'.

            • -

          • single_var_image_filename (str, optional) – Filename to use when saving the separate distribution plots. The variable name will be appended to this filename. This parameter uses figsize for determining the plot size, ignoring grid_figsize.

            • -

          • y_axis_label (str, optional) – The label to display on the y-axis, default is 'Density'.

            • -

          • plot_type (str, optional) – The type of plot to generate, options are 'hist', 'kde', or 'both'. Default is 'both'.

            • -

          • log_scale_vars (str or list of str, optional) – Variable name(s) to apply log scaling. Can be a single string or a list of strings.

            • -

          • bins (int or sequence, optional) – Specification of histogram bins, default is 'auto'.

            • -

          • binwidth (float, optional) – Width of each bin, overrides bins but can be used with binrange.

            • -

          • label_fontsize (int, optional) – Font size for axis labels, including xlabel, ylabel, and tick marks, default is 10.

            • -

          • tick_fontsize (int, optional) – Font size for tick labels on the axes, default is 10.

            • -

          • text_wrap (int, optional) – Maximum width of the title text before wrapping, default is 50.

            • -

          • disable_sci_notation (bool, optional) – Toggle to disable scientific notation on axes, default is False.

            • -

          • stat (str, optional) – Aggregate statistic to compute in each bin (e.g., 'count', 'frequency', 'probability', 'percent', 'density'), default is 'density'.

            • -

          • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

            • -

          • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

            • -

          • plot_mean (bool, optional) – Whether to plot the mean as a vertical line, default is False.

            • -

          • plot_median (bool, optional) – Whether to plot the median as a vertical line, default is False.

            • -

          • std_dev_levels (list of int, optional) – Levels of standard deviation to plot around the mean.

            • -

          • std_color (str or list of str, optional) – Color(s) for the standard deviation lines, default is '#808080'.

            • -

          • label_names (dict, optional) – Custom labels for the variables of interest. Keys should be column names, and values should be the corresponding labels to display.

            • -

          • show_legend (bool, optional) – Whether to show the legend on the plots, default is True.

            • +

          • vars_of_interest (list of str, optional) – List of column names for which to generate distribution plots. If ‘all’, plots will be generated for all numeric columns.

            • +

          • figsize (tuple of int, optional) – Size of each individual plot, default is (5, 5). Used when only one plot is being generated or when saving individual plots.

            • +

          • grid_figsize (tuple of int, optional) – Size of the overall grid of plots when multiple plots are generated in a grid. Ignored when only one plot is being generated or when saving individual plots. If not specified, it is calculated based on figsize, n_rows, and n_cols.

            • +

          • hist_color (str, optional) – Color of the histogram bars, default is '#0000FF'.

            • +

          • kde_color (str, optional) – Color of the KDE plot, default is '#FF0000'.

            • +

          • mean_color (str, optional) – Color of the mean line if plot_mean is True, default is '#000000'.

            • +

          • median_color (str, optional) – Color of the median line if plot_median is True, default is '#000000'.

            • +

          • hist_edgecolor (str, optional) – Color of the histogram bar edges, default is '#000000'.

            • +

          • hue (str, optional) – Column name to group data by, adding different colors for each group.

            • +

          • fill (bool, optional) – Whether to fill the histogram bars with color, default is True.

            • +

          • fill_alpha (float, optional) – Alpha transparency for the fill color of the histogram bars, where 0 is fully transparent and 1 is fully opaque. Default is 1.

            • +

          • n_rows (int, optional) – Number of rows in the subplot grid. If not provided, it will be calculated automatically.

            • +

          • n_cols (int, optional) – Number of columns in the subplot grid. If not provided, it will be calculated automatically.

            • +

          • w_pad (float, optional) – Width padding between subplots, default is 1.0.

            • +

          • h_pad (float, optional) – Height padding between subplots, default is 1.0.

            • +

          • image_path_png (str, optional) – Directory path to save the PNG image of the overall distribution plots.

            • +

          • image_path_svg (str, optional) – Directory path to save the SVG image of the overall distribution plots.

            • +

          • image_filename (str, optional) – Filename to use when saving the overall distribution plots.

            • +

          • bbox_inches (str, optional) – Bounding box to use when saving the figure. For example, 'tight'.

            • +

          • single_var_image_filename (str, optional) – Filename to use when saving the separate distribution plots. The variable name will be appended to this filename. This parameter uses figsize for determining the plot size, ignoring grid_figsize.

            • +

          • y_axis_label (str, optional) – The label to display on the y-axis, default is 'Density'.

            • +

          • plot_type (str, optional) – The type of plot to generate, options are 'hist', 'kde', or 'both'. Default is 'both'.

            • +

          • log_scale_vars (str or list of str, optional) – Variable name(s) to apply log scaling. Can be a single string or a list of strings.

            • +

          • bins (int or sequence, optional) – Specification of histogram bins, default is 'auto'.

            • +

          • binwidth (float, optional) – Width of each bin, overrides bins but can be used with binrange.

            • +

          • label_fontsize (int, optional) – Font size for axis labels, including xlabel, ylabel, and tick marks, default is 10.

            • +

          • tick_fontsize (int, optional) – Font size for tick labels on the axes, default is 10.

            • +

          • text_wrap (int, optional) – Maximum width of the title text before wrapping, default is 50.

            • +

          • disable_sci_notation (bool, optional) – Toggle to disable scientific notation on axes, default is False.

            • +

          • stat (str, optional) – Aggregate statistic to compute in each bin (e.g., 'count', 'frequency', 'probability', 'percent', 'density'), default is 'density'.

            • +

          • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

            • +

          • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

            • +

          • plot_mean (bool, optional) – Whether to plot the mean as a vertical line, default is False.

            • +

          • plot_median (bool, optional) – Whether to plot the median as a vertical line, default is False.

            • +

          • std_dev_levels (list of int, optional) – Levels of standard deviation to plot around the mean.

            • +

          • std_color (str or list of str, optional) – Color(s) for the standard deviation lines, default is '#808080'.

            • +

          • label_names (dict, optional) – Custom labels for the variables of interest. Keys should be column names, and values should be the corresponding labels to display.

            • +

          • show_legend (bool, optional) – Whether to show the legend on the plots, default is True.

          • kwargs (additional keyword arguments) – Additional keyword arguments passed to the Seaborn plotting function.

          Raises:
            -

          • ValueError –

              +

            • ValueError –

              • If plot_type is not one of 'hist', 'kde', or 'both'.

              • If stat is not one of 'count', 'density', 'frequency', 'probability', 'proportion', 'percent'.

              • If log_scale_vars contains variables that are not present in the DataFrame.

                • @@ -390,7 +390,7 @@

                KDE Distribution Functiongrid_figsize is provided when only one plot is being created.

              • -

            • UserWarning –

                +

              • UserWarning –

                • If both bins and binwidth are specified, which may affect performance.

                • @@ -680,45 +680,45 @@

                Stacked Crosstab PlotsParameters:

                • df (pandas.DataFrame) – The DataFrame containing the data to plot.

                  • -

                • col (str) – The name of the column in the DataFrame to be analyzed.

                  • -

                • func_col (list) – List of ground truth columns to be analyzed.

                  • -

                • legend_labels_list (list) – List of legend labels for each ground truth column.

                  • -

                • title (list) – List of titles for the plots.

                  • -

                • kind (str, optional) – The kind of plot to generate ('bar' or 'barh' for horizontal bars), default is 'bar'.

                  • -

                • width (float, optional) – The width of the bars in the bar plot, default is 0.9.

                  • -

                • rot (int, optional) – The rotation angle of the x-axis labels, default is 0.

                  • -

                • custom_order (list, optional) – Specifies a custom order for the categories in the col.

                  • -

                • image_path_png (str, optional) – Directory path where generated PNG plot images will be saved.

                  • -

                • image_path_svg (str, optional) – Directory path where generated SVG plot images will be saved.

                  • -

                • save_formats (list, optional) – List of file formats to save the plot images in.

                  • -

                • color (list, optional) – List of colors to use for the plots. If not provided, a default color scheme is used.

                  • -

                • output (str, optional) – Specify the output type: "plots_only", "crosstabs_only", or "both". Default is "both".

                  • -

                • return_dict (bool, optional) – Specify whether to return the crosstabs dictionary, default is False.

                  • -

                • x (int, optional) – The width of the figure.

                  • -

                • y (int, optional) – The height of the figure.

                  • -

                • p (int, optional) – The padding between the subplots.

                  • -

                • file_prefix (str, optional) – Prefix for the filename when output includes plots.

                  • -

                • logscale (bool, optional) – Apply log scale to the y-axis, default is False.

                  • -

                • plot_type (str, optional) – Specify the type of plot to generate: "both", "regular", "normalized". Default is "both".

                  • -

                • show_legend (bool, optional) – Specify whether to show the legend, default is True.

                  • -

                • label_fontsize (int, optional) – Font size for axis labels, default is 12.

                  • -

                • tick_fontsize (int, optional) – Font size for tick labels on the axes, default is 10.

                  • -

                • text_wrap (int, optional) – The maximum width of the title text before wrapping, default is 50.

                  • -

                • remove_stacks (bool, optional) – If True, removes stacks and creates a regular bar plot using only the col parameter. Only works when plot_type is set to 'regular'. Default is False.

                  • -

                • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                  • -

                • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                  • +

                • col (str) – The name of the column in the DataFrame to be analyzed.

                  • +

                • func_col (list) – List of ground truth columns to be analyzed.

                  • +

                • legend_labels_list (list) – List of legend labels for each ground truth column.

                  • +

                • title (list) – List of titles for the plots.

                  • +

                • kind (str, optional) – The kind of plot to generate ('bar' or 'barh' for horizontal bars), default is 'bar'.

                  • +

                • width (float, optional) – The width of the bars in the bar plot, default is 0.9.

                  • +

                • rot (int, optional) – The rotation angle of the x-axis labels, default is 0.

                  • +

                • custom_order (list, optional) – Specifies a custom order for the categories in the col.

                  • +

                • image_path_png (str, optional) – Directory path where generated PNG plot images will be saved.

                  • +

                • image_path_svg (str, optional) – Directory path where generated SVG plot images will be saved.

                  • +

                • save_formats (list, optional) – List of file formats to save the plot images in.

                  • +

                • color (list, optional) – List of colors to use for the plots. If not provided, a default color scheme is used.

                  • +

                • output (str, optional) – Specify the output type: "plots_only", "crosstabs_only", or "both". Default is "both".

                  • +

                • return_dict (bool, optional) – Specify whether to return the crosstabs dictionary, default is False.

                  • +

                • x (int, optional) – The width of the figure.

                  • +

                • y (int, optional) – The height of the figure.

                  • +

                • p (int, optional) – The padding between the subplots.

                  • +

                • file_prefix (str, optional) – Prefix for the filename when output includes plots.

                  • +

                • logscale (bool, optional) – Apply log scale to the y-axis, default is False.

                  • +

                • plot_type (str, optional) – Specify the type of plot to generate: "both", "regular", "normalized". Default is "both".

                  • +

                • show_legend (bool, optional) – Specify whether to show the legend, default is True.

                  • +

                • label_fontsize (int, optional) – Font size for axis labels, default is 12.

                  • +

                • tick_fontsize (int, optional) – Font size for tick labels on the axes, default is 10.

                  • +

                • text_wrap (int, optional) – The maximum width of the title text before wrapping, default is 50.

                  • +

                • remove_stacks (bool, optional) – If True, removes stacks and creates a regular bar plot using only the col parameter. Only works when plot_type is set to 'regular'. Default is False.

                  • +

                • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                  • +

                • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                Raises:
                  -

                • ValueError –

                    +

                  • ValueError –

                    • If output is not one of "both", "plots_only", or "crosstabs_only".

                    • If plot_type is not one of "both", "regular", "normalized".

                    • If remove_stacks is set to True and plot_type is not "regular".

                    • If the lengths of title, func_col, and legend_labels_list are not equal.

                    • -

                  • KeyError – If any columns specified in col or func_col are missing in the DataFrame.

                    • +

                  • KeyError – If any columns specified in col or func_col are missing in the DataFrame.

                Returns:
                @@ -1165,31 +1165,31 @@

                Box and Violin PlotsParameters:

                • df (pandas.DataFrame) – The DataFrame containing the data to plot.

                  • -

                • metrics_list (list of str) – List of metric names (columns in df) to plot.

                  • -

                • metrics_comp (list of str) – List of comparison categories (columns in df).

                  • -

                • n_rows (int, optional) – Number of rows in the subplot grid. Calculated automatically if not provided.

                  • -

                • n_cols (int, optional) – Number of columns in the subplot grid. Calculated automatically if not provided.

                  • -

                • image_path_png (str, optional) – Optional directory path to save .png images.

                  • -

                • image_path_svg (str, optional) – Optional directory path to save .svg images.

                  • -

                • save_plots (str, optional) – String, "all", "individual", or "grid" to control saving plots.

                  • -

                • show_legend (bool, optional) – Boolean, True if showing the legend in the plots. Default is True.

                  • -

                • plot_type (str, optional) – Specify the type of plot, either "boxplot" or "violinplot". Default is "boxplot".

                  • -

                • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 0.

                  • -

                • show_plot (str, optional) – Specify the plot display mode: "individual", "grid", or "both". Default is "both".

                  • -

                • rotate_plot (bool, optional) – Boolean, True if rotating (pivoting) the plots. Default is False.

                  • -

                • individual_figsize (tuple or list, optional) – Width and height of the figure for individual plots. Default is (6, 4).

                  • -

                • grid_figsize (tuple or list, optional) – Width and height of the figure for grid plots.

                  • -

                • label_fontsize (int, optional) – Font size for axis labels. Default is 12.

                  • -

                • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                  • -

                • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                  • -

                • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                  • -

                • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                  • -

                • label_names (dict, optional) – Dictionary mapping original column names to custom labels. Default is None.

                  • +

                • metrics_list (list of str) – List of metric names (columns in df) to plot.

                  • +

                • metrics_comp (list of str) – List of comparison categories (columns in df).

                  • +

                • n_rows (int, optional) – Number of rows in the subplot grid. Calculated automatically if not provided.

                  • +

                • n_cols (int, optional) – Number of columns in the subplot grid. Calculated automatically if not provided.

                  • +

                • image_path_png (str, optional) – Optional directory path to save .png images.

                  • +

                • image_path_svg (str, optional) – Optional directory path to save .svg images.

                  • +

                • save_plots (str, optional) – String, "all", "individual", or "grid" to control saving plots.

                  • +

                • show_legend (bool, optional) – Boolean, True if showing the legend in the plots. Default is True.

                  • +

                • plot_type (str, optional) – Specify the type of plot, either "boxplot" or "violinplot". Default is "boxplot".

                  • +

                • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 0.

                  • +

                • show_plot (str, optional) – Specify the plot display mode: "individual", "grid", or "both". Default is "both".

                  • +

                • rotate_plot (bool, optional) – Boolean, True if rotating (pivoting) the plots. Default is False.

                  • +

                • individual_figsize (tuple or list, optional) – Width and height of the figure for individual plots. Default is (6, 4).

                  • +

                • grid_figsize (tuple or list, optional) – Width and height of the figure for grid plots.

                  • +

                • label_fontsize (int, optional) – Font size for axis labels. Default is 12.

                  • +

                • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                  • +

                • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                  • +

                • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                  • +

                • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                  • +

                • label_names (dict, optional) – Dictionary mapping original column names to custom labels. Default is None.

                • kwargs (additional keyword arguments) – Additional keyword arguments passed to the Seaborn plotting function.

                Raises:
                -

                ValueError –

                  +

                  ValueError –

                  • If show_plot is not one of "individual", "grid", or "both".

                  • If save_plots is not one of None, "all", "individual", or "grid".

                  • If save_plots is set without specifying image_path_png or image_path_svg.

                    • @@ -1344,42 +1344,42 @@

                    Scatter Fit PlotParameters:

                    • df (pandas.DataFrame) – The DataFrame containing the data.

                      • -

                    • x_vars (list of str, optional) – List of variable names to plot on the x-axis.

                      • -

                    • y_vars (list of str, optional) – List of variable names to plot on the y-axis.

                      • -

                    • n_rows (int, optional) – Number of rows in the subplot grid. Calculated based on the number of plots and n_cols if not specified.

                      • -

                    • n_cols (int, optional) – Number of columns in the subplot grid. Calculated based on the number of plots and max_cols if not specified.

                      • -

                    • max_cols (int, optional) – Maximum number of columns in the subplot grid. Default is 4.

                      • -

                    • image_path_png (str, optional) – Directory path to save PNG images of the scatter plots.

                      • -

                    • image_path_svg (str, optional) – Directory path to save SVG images of the scatter plots.

                      • -

                    • save_plots (str, optional) – Controls which plots to save: "all", "individual", or "grid". If None, plots will not be saved.

                      • -

                    • show_legend (bool, optional) – Whether to display the legend on the plots. Default is True.

                      • -

                    • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 0.

                      • -

                    • show_plot (str, optional) – Controls plot display: "individual", "grid", or "both". Default is "both".

                      • -

                    • rotate_plot (bool, optional) – Whether to rotate (pivot) the plots. Default is False.

                      • -

                    • individual_figsize (tuple or list, optional) – Width and height of the figure for individual plots. Default is (6, 4).

                      • -

                    • grid_figsize (tuple or list, optional) – Width and height of the figure for grid plots. Calculated based on the number of rows and columns if not specified.

                      • -

                    • label_fontsize (int, optional) – Font size for axis labels. Default is 12.

                      • -

                    • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                      • -

                    • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                      • -

                    • add_best_fit_line (bool, optional) – Whether to add a best fit line to the scatter plots. Default is False.

                      • -

                    • scatter_color (str, optional) – Color code for the scattered points. Default is "C0".

                      • -

                    • best_fit_linecolor (str, optional) – Color code for the best fit line. Default is "red".

                      • -

                    • best_fit_linestyle (str, optional) – Linestyle for the best fit line. Default is "-".

                      • -

                    • hue (str, optional) – Column name for the grouping variable that will produce points with different colors.

                      • -

                    • hue_palette (dict, list, or str, optional) – Specifies colors for each hue level. Can be a dictionary mapping hue levels to colors, a list of colors, or the name of a seaborn color palette. This parameter requires the hue parameter to be set.

                      • -

                    • size (str, optional) – Column name for the grouping variable that will produce points with different sizes.

                      • -

                    • sizes (dict, optional) – Dictionary mapping sizes (smallest and largest) to min and max values.

                      • -

                    • marker (str, optional) – Marker style used for the scatter points. Default is "o".

                      • -

                    • show_correlation (bool, optional) – Whether to display the Pearson correlation coefficient in the plot title. Default is True.

                      • -

                    • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                      • -

                    • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                      • -

                    • all_vars (list of str, optional) – If provided, automatically generates scatter plots for all combinations of variables in this list, overriding x_vars and y_vars.

                      • -

                    • label_names (dict, optional) – A dictionary to rename columns for display in the plot titles and labels.

                      • -

                    • kwargs (dict, optional) – Additional keyword arguments to pass to sns.scatterplot.

                      • +

                    • x_vars (list of str, optional) – List of variable names to plot on the x-axis.

                      • +

                    • y_vars (list of str, optional) – List of variable names to plot on the y-axis.

                      • +

                    • n_rows (int, optional) – Number of rows in the subplot grid. Calculated based on the number of plots and n_cols if not specified.

                      • +

                    • n_cols (int, optional) – Number of columns in the subplot grid. Calculated based on the number of plots and max_cols if not specified.

                      • +

                    • max_cols (int, optional) – Maximum number of columns in the subplot grid. Default is 4.

                      • +

                    • image_path_png (str, optional) – Directory path to save PNG images of the scatter plots.

                      • +

                    • image_path_svg (str, optional) – Directory path to save SVG images of the scatter plots.

                      • +

                    • save_plots (str, optional) – Controls which plots to save: "all", "individual", or "grid". If None, plots will not be saved.

                      • +

                    • show_legend (bool, optional) – Whether to display the legend on the plots. Default is True.

                      • +

                    • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 0.

                      • +

                    • show_plot (str, optional) – Controls plot display: "individual", "grid", or "both". Default is "both".

                      • +

                    • rotate_plot (bool, optional) – Whether to rotate (pivot) the plots. Default is False.

                      • +

                    • individual_figsize (tuple or list, optional) – Width and height of the figure for individual plots. Default is (6, 4).

                      • +

                    • grid_figsize (tuple or list, optional) – Width and height of the figure for grid plots. Calculated based on the number of rows and columns if not specified.

                      • +

                    • label_fontsize (int, optional) – Font size for axis labels. Default is 12.

                      • +

                    • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                      • +

                    • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                      • +

                    • add_best_fit_line (bool, optional) – Whether to add a best fit line to the scatter plots. Default is False.

                      • +

                    • scatter_color (str, optional) – Color code for the scattered points. Default is "C0".

                      • +

                    • best_fit_linecolor (str, optional) – Color code for the best fit line. Default is "red".

                      • +

                    • best_fit_linestyle (str, optional) – Linestyle for the best fit line. Default is "-".

                      • +

                    • hue (str, optional) – Column name for the grouping variable that will produce points with different colors.

                      • +

                    • hue_palette (dict, list, or str, optional) – Specifies colors for each hue level. Can be a dictionary mapping hue levels to colors, a list of colors, or the name of a seaborn color palette. This parameter requires the hue parameter to be set.

                      • +

                    • size (str, optional) – Column name for the grouping variable that will produce points with different sizes.

                      • +

                    • sizes (dict, optional) – Dictionary mapping sizes (smallest and largest) to min and max values.

                      • +

                    • marker (str, optional) – Marker style used for the scatter points. Default is "o".

                      • +

                    • show_correlation (bool, optional) – Whether to display the Pearson correlation coefficient in the plot title. Default is True.

                      • +

                    • xlim (tuple or list, optional) – Limits for the x-axis as a tuple or list of (min, max).

                      • +

                    • ylim (tuple or list, optional) – Limits for the y-axis as a tuple or list of (min, max).

                      • +

                    • all_vars (list of str, optional) – If provided, automatically generates scatter plots for all combinations of variables in this list, overriding x_vars and y_vars.

                      • +

                    • label_names (dict, optional) – A dictionary to rename columns for display in the plot titles and labels.

                      • +

                    • kwargs (dict, optional) – Additional keyword arguments to pass to sns.scatterplot.

                    Raises:
                    -

                    ValueError –

                      +

                      ValueError –

                      • If all_vars is provided and either x_vars or y_vars is also provided.

                      • If neither all_vars nor both x_vars and y_vars are provided.

                      • If hue_palette is specified without hue.

                        • @@ -1547,30 +1547,30 @@

                        Correlation MatricesParameters:

                        • df (pandas.DataFrame) – The DataFrame containing the data.

                          • -

                        • cols (list of str, optional) – List of column names to include in the correlation matrix. If None, all columns are included.

                          • -

                        • annot (bool, optional) – Whether to annotate the heatmap with correlation coefficients. Default is True.

                          • -

                        • cmap (str, optional) – The colormap to use for the heatmap. Default is "coolwarm".

                          • -

                        • save_plots (bool, optional) – Controls whether to save the plots. Default is False.

                          • -

                        • image_path_png (str, optional) – Directory path to save PNG images of the heatmap.

                          • -

                        • image_path_svg (str, optional) – Directory path to save SVG images of the heatmap.

                          • -

                        • figsize (tuple, optional) – Width and height of the figure for the heatmap. Default is (10, 10).

                          • -

                        • title (str, optional) – Title of the heatmap. Default is "Cervical Cancer Data: Correlation Matrix".

                          • -

                        • label_fontsize (int, optional) – Font size for tick labels and colorbar label. Default is 12.

                          • -

                        • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                          • -

                        • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 45.

                          • -

                        • ylabel_rot (int, optional) – Rotation angle for y-axis labels. Default is 0.

                          • -

                        • xlabel_alignment (str, optional) – Horizontal alignment for x-axis labels. Default is "right".

                          • -

                        • ylabel_alignment (str, optional) – Vertical alignment for y-axis labels. Default is "center_baseline".

                          • -

                        • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                          • -

                        • vmin (float, optional) – Minimum value for the heatmap color scale. Default is -1.

                          • -

                        • vmax (float, optional) – Maximum value for the heatmap color scale. Default is 1.

                          • -

                        • cbar_label (str, optional) – Label for the colorbar. Default is "Correlation Index".

                          • -

                        • triangular (bool, optional) – Whether to show only the upper triangle of the correlation matrix. Default is True.

                          • -

                        • kwargs (dict, optional) – Additional keyword arguments to pass to seaborn.heatmap().

                          • +

                        • cols (list of str, optional) – List of column names to include in the correlation matrix. If None, all columns are included.

                          • +

                        • annot (bool, optional) – Whether to annotate the heatmap with correlation coefficients. Default is True.

                          • +

                        • cmap (str, optional) – The colormap to use for the heatmap. Default is "coolwarm".

                          • +

                        • save_plots (bool, optional) – Controls whether to save the plots. Default is False.

                          • +

                        • image_path_png (str, optional) – Directory path to save PNG images of the heatmap.

                          • +

                        • image_path_svg (str, optional) – Directory path to save SVG images of the heatmap.

                          • +

                        • figsize (tuple, optional) – Width and height of the figure for the heatmap. Default is (10, 10).

                          • +

                        • title (str, optional) – Title of the heatmap. Default is "Cervical Cancer Data: Correlation Matrix".

                          • +

                        • label_fontsize (int, optional) – Font size for tick labels and colorbar label. Default is 12.

                          • +

                        • tick_fontsize (int, optional) – Font size for axis tick labels. Default is 10.

                          • +

                        • xlabel_rot (int, optional) – Rotation angle for x-axis labels. Default is 45.

                          • +

                        • ylabel_rot (int, optional) – Rotation angle for y-axis labels. Default is 0.

                          • +

                        • xlabel_alignment (str, optional) – Horizontal alignment for x-axis labels. Default is "right".

                          • +

                        • ylabel_alignment (str, optional) – Vertical alignment for y-axis labels. Default is "center_baseline".

                          • +

                        • text_wrap (int, optional) – The maximum width of the title text before wrapping. Default is 50.

                          • +

                        • vmin (float, optional) – Minimum value for the heatmap color scale. Default is -1.

                          • +

                        • vmax (float, optional) – Maximum value for the heatmap color scale. Default is 1.

                          • +

                        • cbar_label (str, optional) – Label for the colorbar. Default is "Correlation Index".

                          • +

                        • triangular (bool, optional) – Whether to show only the upper triangle of the correlation matrix. Default is True.

                          • +

                        • kwargs (dict, optional) – Additional keyword arguments to pass to seaborn.heatmap().

                        Raises:
                        -

                        ValueError –

                          +

                          ValueError –

                          • If annot is not a boolean.

                          • If cols is not a list.

                          • If save_plots is not a boolean.

                            • @@ -1691,24 +1691,24 @@

                            2D Partial Dependence Plots

                            • model (estimator object) – The trained machine learning model used to generate partial dependence plots.

                            • X_train (pandas.DataFrame or numpy.ndarray) – The training data used to compute partial dependence. Should correspond to the features used to train the model.

                              • -

                            • feature_names (list of str) – A list of feature names corresponding to the columns in X_train.

                              • -

                            • features (list of int or tuple of int) – A list of feature indices or tuples of feature indices for which to generate partial dependence plots.

                              • -

                            • title (str, optional) – The title for the entire plot. Default is "PDP of house value on CA non-location features".

                              • -

                            • grid_resolution (int, optional) – The number of grid points to use for plotting the partial dependence. Higher values provide smoother curves but may increase computation time. Default is 50.

                              • -

                            • plot_type (str, optional) – The type of plot to generate. Choose "grid" for a grid layout, "individual" for separate plots, or "both" to generate both layouts. Default is "grid".

                              • -

                            • grid_figsize (tuple, optional) – Tuple specifying the width and height of the figure for the grid layout. Default is (12, 8).

                              • -

                            • individual_figsize (tuple, optional) – Tuple specifying the width and height of the figure for individual plots. Default is (6, 4).

                              • -

                            • label_fontsize (int, optional) – Font size for the axis labels and titles. Default is 12.

                              • -

                            • tick_fontsize (int, optional) – Font size for the axis tick labels. Default is 10.

                              • -

                            • text_wrap (int, optional) – The maximum width of the title text before wrapping. Useful for managing long titles. Default is 50.

                              • -

                            • image_path_png (str, optional) – The directory path where PNG images of the plots will be saved, if saving is enabled.

                              • -

                            • image_path_svg (str, optional) – The directory path where SVG images of the plots will be saved, if saving is enabled.

                              • -

                            • save_plots (str, optional) – Controls whether to save the plots. Options include "all", "individual", "grid", or None (default). If saving is enabled, ensure image_path_png or image_path_svg are provided.

                              • -

                            • file_prefix (str, optional) – Prefix for the filenames of the saved grid plots. Default is "partial_dependence".

                              • +

                            • feature_names (list of str) – A list of feature names corresponding to the columns in X_train.

                              • +

                            • features (list of int or tuple of int) – A list of feature indices or tuples of feature indices for which to generate partial dependence plots.

                              • +

                            • title (str, optional) – The title for the entire plot. Default is "PDP of house value on CA non-location features".

                              • +

                            • grid_resolution (int, optional) – The number of grid points to use for plotting the partial dependence. Higher values provide smoother curves but may increase computation time. Default is 50.

                              • +

                            • plot_type (str, optional) – The type of plot to generate. Choose "grid" for a grid layout, "individual" for separate plots, or "both" to generate both layouts. Default is "grid".

                              • +

                            • grid_figsize (tuple, optional) – Tuple specifying the width and height of the figure for the grid layout. Default is (12, 8).

                              • +

                            • individual_figsize (tuple, optional) – Tuple specifying the width and height of the figure for individual plots. Default is (6, 4).

                              • +

                            • label_fontsize (int, optional) – Font size for the axis labels and titles. Default is 12.

                              • +

                            • tick_fontsize (int, optional) – Font size for the axis tick labels. Default is 10.

                              • +

                            • text_wrap (int, optional) – The maximum width of the title text before wrapping. Useful for managing long titles. Default is 50.

                              • +

                            • image_path_png (str, optional) – The directory path where PNG images of the plots will be saved, if saving is enabled.

                              • +

                            • image_path_svg (str, optional) – The directory path where SVG images of the plots will be saved, if saving is enabled.

                              • +

                            • save_plots (str, optional) – Controls whether to save the plots. Options include "all", "individual", "grid", or None (default). If saving is enabled, ensure image_path_png or image_path_svg are provided.

                              • +

                            • file_prefix (str, optional) – Prefix for the filenames of the saved grid plots. Default is "partial_dependence".

                          Raises:
                          -

                          ValueError –

                            +

                            ValueError –

                            • If plot_type is not one of "grid", "individual", or "both".

                            • If save_plots is enabled but neither image_path_png nor image_path_svg is provided.

                            @@ -1825,47 +1825,47 @@

                            3D Partial Dependence Plots

                            • model (estimator object) – The trained machine learning model used to generate partial dependence plots.

                            • dataframe (pandas.DataFrame or numpy.ndarray) – The dataset on which the model was trained or a representative sample. If a DataFrame is provided, feature_names_list should correspond to the column names. If a NumPy array is provided, feature_names_list should correspond to the indices of the columns.

                              • -

                            • feature_names_list (list of str) – A list of two feature names or indices corresponding to the features for which partial dependence plots are generated.

                              • -

                            • x_label (str, optional) – Label for the x-axis in the plots. Default is None.

                              • -

                            • y_label (str, optional) – Label for the y-axis in the plots. Default is None.

                              • -

                            • z_label (str, optional) – Label for the z-axis in the plots. Default is None.

                              • -

                            • title (str) – The title for the plots.

                              • -

                            • html_file_path (str, optional) – Path to save the interactive Plotly HTML file. Required if plot_type is "interactive" or "both". Default is None.

                              • -

                            • html_file_name (str, optional) – Name of the HTML file to save the interactive Plotly plot. Required if plot_type is "interactive" or "both". Default is None.

                              • -

                            • image_filename (str, optional) – Base filename for saving static Matplotlib plots as PNG and/or SVG. Default is None.

                              • -

                            • plot_type (str, optional) – The type of plots to generate. Options are: +

                            • feature_names_list (list of str) – A list of two feature names or indices corresponding to the features for which partial dependence plots are generated.

                              • +

                            • x_label (str, optional) – Label for the x-axis in the plots. Default is None.

                              • +

                            • y_label (str, optional) – Label for the y-axis in the plots. Default is None.

                              • +

                            • z_label (str, optional) – Label for the z-axis in the plots. Default is None.

                              • +

                            • title (str) – The title for the plots.

                              • +

                            • html_file_path (str, optional) – Path to save the interactive Plotly HTML file. Required if plot_type is "interactive" or "both". Default is None.

                              • +

                            • html_file_name (str, optional) – Name of the HTML file to save the interactive Plotly plot. Required if plot_type is "interactive" or "both". Default is None.

                              • +

                            • image_filename (str, optional) – Base filename for saving static Matplotlib plots as PNG and/or SVG. Default is None.

                              • +

                            • plot_type (str, optional) – The type of plots to generate. Options are: - "static": Generate only static Matplotlib plots. - "interactive": Generate only interactive Plotly plots. - "both": Generate both static and interactive plots. Default is "both".

                            • matplotlib_colormap (matplotlib.colors.Colormap, optional) – Custom colormap for the Matplotlib plot. If not provided, a default colormap is used.

                              • -

                            • plotly_colormap (str, optional) – Colormap for the Plotly plot. Default is "Viridis".

                              • -

                            • zoom_out_factor (float, optional) – Factor to adjust the zoom level of the Plotly plot. Default is None.

                              • -

                            • wireframe_color (str, optional) – Color for the wireframe in the Matplotlib plot. If None, no wireframe is plotted. Default is None.

                              • -

                            • view_angle (tuple, optional) – Elevation and azimuthal angles for the Matplotlib plot view. Default is (22, 70).

                              • -

                            • figsize (tuple, optional) – Figure size for the Matplotlib plot. Default is (7, 4.5).

                              • -

                            • text_wrap (int, optional) – Maximum width of the title text before wrapping. Useful for managing long titles. Default is 50.

                              • -

                            • horizontal (float, optional) – Horizontal camera position for the Plotly plot. Default is -1.25.

                              • -

                            • depth (float, optional) – Depth camera position for the Plotly plot. Default is 1.25.

                              • -

                            • vertical (float, optional) – Vertical camera position for the Plotly plot. Default is 1.25.

                              • -

                            • cbar_x (float, optional) – Position of the color bar along the x-axis in the Plotly plot. Default is 1.05.

                              • -

                            • cbar_thickness (int, optional) – Thickness of the color bar in the Plotly plot. Default is 25.

                              • -

                            • title_x (float, optional) – Horizontal position of the title in the Plotly plot. Default is 0.5.

                              • -

                            • title_y (float, optional) – Vertical position of the title in the Plotly plot. Default is 0.95.

                              • -

                            • top_margin (int, optional) – Top margin for the Plotly plot layout. Default is 100.

                              • -

                            • image_path_png (str, optional) – Directory path to save the PNG file of the Matplotlib plot. Default is None.

                              • -

                            • image_path_svg (str, optional) – Directory path to save the SVG file of the Matplotlib plot. Default is None.

                              • -

                            • show_cbar (bool, optional) – Whether to display the color bar in the Matplotlib plot. Default is True.

                              • -

                            • grid_resolution (int, optional) – The resolution of the grid for computing partial dependence. Default is 20.

                              • -

                            • left_margin (int, optional) – Left margin for the Plotly plot layout. Default is 20.

                              • -

                            • right_margin (int, optional) – Right margin for the Plotly plot layout. Default is 65.

                              • -

                            • label_fontsize (int, optional) – Font size for axis labels in the Matplotlib plot. Default is 8.

                              • -

                            • tick_fontsize (int, optional) – Font size for tick labels in the Matplotlib plot. Default is 6.

                              • -

                            • enable_zoom (bool, optional) – Whether to enable zooming in the Plotly plot. Default is True.

                              • -

                            • show_modebar (bool, optional) – Whether to display the mode bar in the Plotly plot. Default is True.

                              • +

                            • plotly_colormap (str, optional) – Colormap for the Plotly plot. Default is "Viridis".

                              • +

                            • zoom_out_factor (float, optional) – Factor to adjust the zoom level of the Plotly plot. Default is None.

                              • +

                            • wireframe_color (str, optional) – Color for the wireframe in the Matplotlib plot. If None, no wireframe is plotted. Default is None.

                              • +

                            • view_angle (tuple, optional) – Elevation and azimuthal angles for the Matplotlib plot view. Default is (22, 70).

                              • +

                            • figsize (tuple, optional) – Figure size for the Matplotlib plot. Default is (7, 4.5).

                              • +

                            • text_wrap (int, optional) – Maximum width of the title text before wrapping. Useful for managing long titles. Default is 50.

                              • +

                            • horizontal (float, optional) – Horizontal camera position for the Plotly plot. Default is -1.25.

                              • +

                            • depth (float, optional) – Depth camera position for the Plotly plot. Default is 1.25.

                              • +

                            • vertical (float, optional) – Vertical camera position for the Plotly plot. Default is 1.25.

                              • +

                            • cbar_x (float, optional) – Position of the color bar along the x-axis in the Plotly plot. Default is 1.05.

                              • +

                            • cbar_thickness (int, optional) – Thickness of the color bar in the Plotly plot. Default is 25.

                              • +

                            • title_x (float, optional) – Horizontal position of the title in the Plotly plot. Default is 0.5.

                              • +

                            • title_y (float, optional) – Vertical position of the title in the Plotly plot. Default is 0.95.

                              • +

                            • top_margin (int, optional) – Top margin for the Plotly plot layout. Default is 100.

                              • +

                            • image_path_png (str, optional) – Directory path to save the PNG file of the Matplotlib plot. Default is None.

                              • +

                            • image_path_svg (str, optional) – Directory path to save the SVG file of the Matplotlib plot. Default is None.

                              • +

                            • show_cbar (bool, optional) – Whether to display the color bar in the Matplotlib plot. Default is True.

                              • +

                            • grid_resolution (int, optional) – The resolution of the grid for computing partial dependence. Default is 20.

                              • +

                            • left_margin (int, optional) – Left margin for the Plotly plot layout. Default is 20.

                              • +

                            • right_margin (int, optional) – Right margin for the Plotly plot layout. Default is 65.

                              • +

                            • label_fontsize (int, optional) – Font size for axis labels in the Matplotlib plot. Default is 8.

                              • +

                            • tick_fontsize (int, optional) – Font size for tick labels in the Matplotlib plot. Default is 6.

                              • +

                            • enable_zoom (bool, optional) – Whether to enable zooming in the Plotly plot. Default is True.

                              • +

                            • show_modebar (bool, optional) – Whether to display the mode bar in the Plotly plot. Default is True.

                            Raises:
                            -

                            ValueError –

                              +

                              ValueError –

                              • If plot_type is not one of "static", "interactive", or "both".

                              • If plot_type is "interactive" or "both" and html_file_path or html_file_name are not provided.

                              diff --git a/docs/v0.0.11/.doctrees/environment.pickle b/docs/v0.0.11/.doctrees/environment.pickle index 38e645849..7347cafd3 100644 Binary files a/docs/v0.0.11/.doctrees/environment.pickle and b/docs/v0.0.11/.doctrees/environment.pickle differ diff --git a/docs/v0.0.12/.doctrees/environment.pickle b/docs/v0.0.12/.doctrees/environment.pickle index f244cc9da..720304bbc 100644 Binary files a/docs/v0.0.12/.doctrees/environment.pickle and b/docs/v0.0.12/.doctrees/environment.pickle differ diff --git a/docs/v0.0.5/.buildinfo b/docs/v0.0.5/.buildinfo index 353dc5664..56e615cbd 100644 --- a/docs/v0.0.5/.buildinfo +++ b/docs/v0.0.5/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 14d3b31e6ef370db026ab086dac9c520 +config: 2c4b89aaffb03de3043e77ead7021a5d tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.5/.buildinfo.bak b/docs/v0.0.5/.buildinfo.bak index ff6ef39ed..353dc5664 100644 --- a/docs/v0.0.5/.buildinfo.bak +++ b/docs/v0.0.5/.buildinfo.bak @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 42de9baa26c146a450cafdcd02e4c95f +config: 14d3b31e6ef370db026ab086dac9c520 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.5/.doctrees/environment.pickle b/docs/v0.0.5/.doctrees/environment.pickle index 7fb10cbe7..46e828b92 100644 Binary files a/docs/v0.0.5/.doctrees/environment.pickle and b/docs/v0.0.5/.doctrees/environment.pickle differ diff --git a/docs/v0.0.6/.buildinfo b/docs/v0.0.6/.buildinfo index cf5e3e8fe..ea039be3e 100644 --- a/docs/v0.0.6/.buildinfo +++ b/docs/v0.0.6/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: d6a3131db8c8d02d091982941432fad9 +config: 2346f42102dd7aee5865ae04881f86e0 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.6/.buildinfo.bak b/docs/v0.0.6/.buildinfo.bak index 1a500f15c..cf5e3e8fe 100644 --- a/docs/v0.0.6/.buildinfo.bak +++ b/docs/v0.0.6/.buildinfo.bak @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 5e377420975cef2c832be9a69a8a7b5e +config: d6a3131db8c8d02d091982941432fad9 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.6/.doctrees/environment.pickle b/docs/v0.0.6/.doctrees/environment.pickle index cc6448e7c..fba467dce 100644 Binary files a/docs/v0.0.6/.doctrees/environment.pickle and b/docs/v0.0.6/.doctrees/environment.pickle differ diff --git a/docs/v0.0.7/.buildinfo b/docs/v0.0.7/.buildinfo index ca0720dd0..b9498ddbe 100644 --- a/docs/v0.0.7/.buildinfo +++ b/docs/v0.0.7/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: c22d1538c30028bdb9ac082dcebbb68f +config: 912163ee02898a10ae5ecb04fe35fd30 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.7/.buildinfo.bak b/docs/v0.0.7/.buildinfo.bak index 4e82a2271..ca0720dd0 100644 --- a/docs/v0.0.7/.buildinfo.bak +++ b/docs/v0.0.7/.buildinfo.bak @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 9454070ee1599010ba800b72973e1365 +config: c22d1538c30028bdb9ac082dcebbb68f tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.7/.doctrees/environment.pickle b/docs/v0.0.7/.doctrees/environment.pickle index abd845ef2..e6ac3af60 100644 Binary files a/docs/v0.0.7/.doctrees/environment.pickle and b/docs/v0.0.7/.doctrees/environment.pickle differ diff --git a/docs/v0.0.8/.buildinfo b/docs/v0.0.8/.buildinfo index e01e2c532..9740f9490 100644 --- a/docs/v0.0.8/.buildinfo +++ b/docs/v0.0.8/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 39b654b79ced0121f2e15ada0c422029 +config: 42f68d4f63cd7edcd4e14882dcd27b7c tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.8/.buildinfo.bak b/docs/v0.0.8/.buildinfo.bak index ba4ff1fb7..e01e2c532 100644 --- a/docs/v0.0.8/.buildinfo.bak +++ b/docs/v0.0.8/.buildinfo.bak @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 6bd52975582850e0487917125869e347 +config: 39b654b79ced0121f2e15ada0c422029 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.8/.doctrees/environment.pickle b/docs/v0.0.8/.doctrees/environment.pickle index b6f64fa1c..010762aed 100644 Binary files a/docs/v0.0.8/.doctrees/environment.pickle and b/docs/v0.0.8/.doctrees/environment.pickle differ diff --git a/docs/v0.0.9/.buildinfo b/docs/v0.0.9/.buildinfo index 107c1d352..42de70526 100644 --- a/docs/v0.0.9/.buildinfo +++ b/docs/v0.0.9/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 616a87ce13b44e73dae606393e5ad6ba +config: b2540de4381bcc93826364b882104ea5 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.9/.buildinfo.bak b/docs/v0.0.9/.buildinfo.bak index 5ce48115b..107c1d352 100644 --- a/docs/v0.0.9/.buildinfo.bak +++ b/docs/v0.0.9/.buildinfo.bak @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file records the configuration used when building these files. When it is not found, a full rebuild will be done. -config: ad776a938cae4ff505a099d2a0b3a002 +config: 616a87ce13b44e73dae606393e5ad6ba tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/v0.0.9/.doctrees/environment.pickle b/docs/v0.0.9/.doctrees/environment.pickle index e716eb90b..7092b5d90 100644 Binary files a/docs/v0.0.9/.doctrees/environment.pickle and b/docs/v0.0.9/.doctrees/environment.pickle differ diff --git a/source/changelog.rst b/source/changelog.rst index e2a4f46ee..81e95ca2a 100644 --- a/source/changelog.rst +++ b/source/changelog.rst @@ -24,6 +24,63 @@ Changelog ========= +`Version 0.0.14`_ +---------------------- + +.. _Version 0.0.14: https://lshpaner.github.io/eda_toolkit/v0.0.14/index.html + +Ensure Crosstabs Dictionary is Populated with ``return_dict=True`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This resolves the issue where the ``stacked_crosstab_plot`` function fails to +populate and return the crosstabs dictionary (``crosstabs_dict``) when +``return_dict=True`` and ``output="plots_only"``. The fix ensures that crosstabs +are always generated when ``return_dict=True``, regardless of the output parameter. + +- Always Generate Crosstabs with ``return_dict=True``: + + - Added logic to ensure crosstabs are created and populated in ``crosstabs_dict`` whenever ``return_dict=True``, even if the output parameter is set to ``"plots_only"``. + +- Separation of Crosstabs Display from Generation: + + - The generation of crosstabs is now independent of the output parameter. + - Crosstabs display (``print``) occurs only when output includes ``"both"`` or ``"crosstabs_only"``. + +Enhancements and Fixes for ``scatter_fit_plot`` Function +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This addresses critical issues and introduces key enhancements for the ``scatter_fit_plot`` function. +These changes aim to improve usability, flexibility, and robustness of the function. + +1. Added ``exclude_combinations`` Parameter. Users can now exclude specific variable pairs from being plotted by providing a list of tuples with the combinations to omit. + +2. Added ``combinations`` Parameter to ``show_plot``. Users can also now show just the list of combinations that are part of the selection process when ``all_vars=True``. + +3. When plotting a single variable pair with ``show_plot="both"``, the function threw an ``AttributeError``. Single-variable pairs are now properly handled. + +4. Changed the default value of ``show_plot`` to ``"both"`` to prevent excessive individual plots when handling large variable sets. + +5. Fixed Issues with Legend, ``xlim``, and ``ylim``; inputs were not being used; these have been corrected. + + +Fix Default Title and Filename Handling in ``flex_corr_matrix`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This resolves issues in the ``flex_corr_matrix`` function where: + +1. No default title was provided when ``title=None``, resulting in missing titles on plots. +2. Saved plot filenames were incorrect, leading to issues like ``.png.png`` when ``title`` was not provided. + +The fix ensures that a default title ("Correlation Matrix") is used for both plot display and file saving when no ``title`` +is explicitly provided. If ``title`` is explicitly set to ``None``, the plot will have no title, +but the saved filename will still use ``"correlation_matrix"``. + +1. If no ``title`` is provided, ``"Correlation Matrix"`` is used as the default for filenames and displayed titles. If ``title=None`` is explicitly passed, no title is displayed on the plot. + +2. File names are generated based on the ``title`` or default to ``"correlation_matrix"`` if ``title`` is not provided. Spaces in the ``title`` are replaced with underscores, and special characters like ``:`` are removed to ensure valid filenames. + + + `Version 0.0.13`_ ---------------------- diff --git a/source/eda_plots.rst b/source/eda_plots.rst index c5fa3af87..1e79ec811 100644 --- a/source/eda_plots.rst +++ b/source/eda_plots.rst @@ -2931,7 +2931,7 @@ These settings allow for the creation of scatter plots that comprehensively expl
                              -.. image:: ../assets/scatter_plots_all_grid.png +.. image:: ../assets/scatter_plots_grid.png :alt: Scatter Plot Comparisons (Grouped2) :align: center :width: 900px