Help on function jointplot in module seaborn.axisgrid:
jointplot(data=None, *, x=None, y=None, hue=None, kind='scatter', height=6, ratio=5, space=0.2, dropna=False, xlim=None, ylim=None, color=None, palette=None, hue_order=None, hue_norm=None, marginal_ticks=False, joint_kws=None, marginal_kws=None, **kwargs)
Draw a plot of two variables with bivariate and univariate graphs.
This function provides a convenient interface to the :class:`JointGrid`
class, with several canned plot kinds. This is intended to be a fairly
lightweight wrapper; if you need more flexibility, you should use
:class:`JointGrid` directly.
Parameters
----------
data : :class:`pandas.DataFrame`, :class:`numpy.ndarray`, mapping, or sequence
Input data structure. Either a long-form collection of vectors that can be
assigned to named variables or a wide-form dataset that will be internally
reshaped.
x, y : vectors or keys in ``data``
Variables that specify positions on the x and y axes.
hue : vector or key in ``data``
Semantic variable that is mapped to determine the color of plot elements.
Semantic variable that is mapped to determine the color of plot elements.
kind : { "scatter" | "kde" | "hist" | "hex" | "reg" | "resid" }
Kind of plot to draw. See the examples for references to the underlying functions.
height : numeric
Size of the figure (it will be square).
ratio : numeric
Ratio of joint axes height to marginal axes height.
space : numeric
Space between the joint and marginal axes
dropna : bool
If True, remove observations that are missing from ``x`` and ``y``.
{x, y}lim : pairs of numbers
Axis limits to set before plotting.
color : :mod:`matplotlib color <matplotlib.colors>`
Single color specification for when hue mapping is not used. Otherwise, the
plot will try to hook into the matplotlib property cycle.
palette : string, list, dict, or :class:`matplotlib.colors.Colormap`
Method for choosing the colors to use when mapping the ``hue`` semantic.
String values are passed to :func:`color_palette`. List or dict values
imply categorical mapping, while a colormap object implies numeric mapping.
hue_order : vector of strings
Specify the order of processing and plotting for categorical levels of the
``hue`` semantic.
hue_norm : tuple or :class:`matplotlib.colors.Normalize`
Either a pair of values that set the normalization range in data units
or an object that will map from data units into a [0, 1] interval. Usage
implies numeric mapping.
marginal_ticks : bool
If False, suppress ticks on the count/density axis of the marginal plots.
{joint, marginal}_kws : dicts
Additional keyword arguments for the plot components.
kwargs
Additional keyword arguments are passed to the function used to
draw the plot on the joint Axes, superseding items in the
``joint_kws`` dictionary.
Returns
-------
:class:`JointGrid`
An object managing multiple subplots that correspond to joint and marginal axes
for plotting a bivariate relationship or distribution.
See Also
--------
JointGrid : Set up a figure with joint and marginal views on bivariate data.
PairGrid : Set up a figure with joint and marginal views on multiple variables.
jointplot : Draw multiple bivariate plots with univariate marginal distributions.
Examples
--------
.. include:: ../docstrings/jointplot.rst
