pd.plotting.scatter_matrix()

---

Signature:
pd.plotting.scatter_matrix(
    frame,
    alpha=0.5,
    figsize=None,
    ax=None,
    grid=False,
    diagonal='hist',
    marker='.',
    density_kwds=None,
    hist_kwds=None,
    range_padding=0.05,
    **kwargs,
)
Docstring:
Draw a matrix of scatter plots.

Parameters
----------
frame : DataFrame
alpha : float, optional
    Amount of transparency applied.
figsize : (float,float), optional
    A tuple (width, height) in inches.
ax : Matplotlib axis object, optional
grid : bool, optional
    Setting this to True will show the grid.
diagonal : {'hist', 'kde'}
    Pick between 'kde' and 'hist' for either Kernel Density Estimation or
    Histogram plot in the diagonal.
marker : str, optional
    Matplotlib marker type, default '.'.
density_kwds : keywords
    Keyword arguments to be passed to kernel density estimate plot.
hist_kwds : keywords
    Keyword arguments to be passed to hist function.
range_padding : float, default 0.05
    Relative extension of axis range in x and y with respect to
    (x_max - x_min) or (y_max - y_min).
**kwargs
    Keyword arguments to be passed to scatter function.

Returns
-------
numpy.ndarray
    A matrix of scatter plots.

Examples
--------

.. plot::
    :context: close-figs

    >>> df = pd.DataFrame(np.random.randn(1000, 4), columns=['A','B','C','D'])
    >>> pd.plotting.scatter_matrix(df, alpha=0.2)
File:      d:\programdata\anaconda3\lib\site-packages\pandas\plotting\_misc.py
Type:      function