Produces a similar plot to corner, 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.
pip install scorner
from scorner import scorner
scorner.scorner(data)
where data is an array or dataframe
See src/scorner/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
ap : 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'