scorner 0.2.0
Produces a similar plot to  corner.py, but uses seaborn to produce a more adjustable, 'publication ready' plot
Requires Python: >=3.9

# scorner.py

Produces a similar plot to
*[corner](https://corner.readthedocs.io/en/latest/pages/custom)*,
which shows the projections of data in a multi-dimensional space. This
uses seaborn to produce a more adjustable, 'publication ready' plot
e.g. through variable axis thickness, the use of colour maps, line
styles, choice of contours/density maps and order of plotting in
relation to scatter plot. Also included is an option to save a hard
copy in the required format.

![](https://raw.githubusercontent.com/steviecurran/scorner/refs/heads/main/sample_final.png)

See src/demo.ipynb for examples
    
    Parameters
    ----------

    data : obj

        The data in the form of an array or dataframe. 

    cols: list

        If data input as array this specifies the column names of the
        dataframe (required by seaborn).

    true_values: list

        The mean values used to generate the data. Default is not to
        show.

    true_style : list
        Line style, width and colour if showing true_values
    
    test_run : bool

        If True a test using test_no rows of the dataframe will be
        run.  Since sns.kdeplot can take a while to run, this is
        advisable until the plot appearance is satisfactory. Default
        is to run the whole dataset.

    test_no : int

        The number of rows which test_run will use. Default is 500
     
    bins : int

        The number of histogram bins

    cmap : str

        The colour map of the density plot. Default is 'rainbow'
        https://matplotlib.org/stable/users/explain/colors/colormaps.html

    fs : float

        Specifies the font size, which scales with the height of the plot

    xlabel_off : bool

        If True this removes the x-axis labels. If False the dataframe column
        names are used

    ylabel_off : bool

        If True this removes the y-axis labels. If False the dataframe column
        names are used

    height : float

        The height of the plot according to seaborn. The default is 1.5

    aspect : float

        The aspect of the plot according to seaborn

    aw : float

        Axis widths, the default is 2

    aw : float

        Axis padding, the default is 7

    point_s : float

        Point size in scatter plots

    point_c:

        Point colour in scatter plots

    lrot : float

        Axis label rotation angle, default is 0

    min_space : int

        Number of minor ticks per major tick interval. Default is 5

    dens : bol

       If True this will plot a density maps using the specified colour map.
       Default is True

    dens_alpha : float

       The transparency of the density map. Default is fully opaque (alpha = 1)

    con : bol

      If True this will show a contour map. Default is no contour map

    con_levels : int

      The number of contours

    con_thresh : float

      The lowest contour value

    show_stats : bool

      Show the mean and standard deviation in the histogram. Default is False

    stats_in : bool

      If True (default) the above legend is shown within the histograms. If
      False it is show above the histograms

    leg_scale: float

      If show_stats=True, the size of the legend font in relation to the tick font

    leg_dps : int

      If show_stats=True, the number of decimal places to show these to

    leg_alpha : float

      Transparency of legend box if stats_in = True. Default is 0.5

    leg_fc : str

      Colour of legend box if stats_in = True, Default is 'w'

    tlp : float

      The plt.tight_layout pad value, the default is 0.3

    hc : bool

      hc = True saves a hard copy. The default is False

    plot_form : str

      The format of the hard copy, the default is 'png'

    plot_name : str

      The name of the hard copy, the default is 'scorner'