matplotlib.pyplot.
hexbin
(x, y, C=None, gridsize=100, bins=None, xscale='linear', yscale='linear', extent=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors='face', reduce_C_function=<function mean>, mincnt=None, marginals=False, hold=None, data=None, **kwargs)¶Make a hexagonal binning plot.
Make a hexagonal binning plot of x versus y, where x, y are 1D sequences of the same length, N. If C is None (the default), this is a histogram of the number of occurrences of the observations at (x[i],y[i]).
If C is specified, it specifies values at the coordinate (x[i],y[i]). These values are accumulated for each hexagonal bin and then reduced according to reduce_C_function, which defaults to numpy’s mean function (np.mean). (If C is specified, it must also be a 1D sequence of the same length as x and y.)
Parameters:  x, y : array or masked array C : array or masked array, optional, default is None gridsize : int or (int, int), optional, default is 100
bins : {‘log’} or int or sequence, optional, default is None
xscale : {‘linear’, ‘log’}, optional, default is ‘linear’
yscale : {‘linear’, ‘log’}, optional, default is ‘linear’
mincnt : int > 0, optional, default is None
marginals : bool, optional, default is False
extent : scalar, optional, default is None


Returns:  object

Other Parameters:  
cmap : object, optional, default is None
norm : object, optional, default is None
vmin, vmax : scalar, optional, default is None
alpha : scalar between 0 and 1, optional, default is None
linewidths : scalar, optional, default is None
edgecolors : {‘face’, ‘none’, None} or color, optional

Notes
The standard descriptions of all the
Collection
parameters:
Property Description agg_filter
a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha
float or None animated
bool antialiased
or antialiasedsBoolean or sequence of booleans array
ndarray capstyle
unknown clim
a length 2 sequence of floats; may be overridden in methods that have vmin
andvmax
kwargs.clip_box
a Bbox
instanceclip_on
bool clip_path
[( Path
,Transform
) Patch
 None]cmap
a colormap or registered colormap name color
matplotlib color arg or sequence of rgba tuples contains
a callable function edgecolor
or edgecolorsmatplotlib color spec or sequence of specs facecolor
or facecolorsmatplotlib color spec or sequence of specs figure
a Figure
instancegid
an id string hatch
[ ‘/’  ‘'  ‘’  ‘‘  ‘+’  ‘x’  ‘o’  ‘O’  ‘.’  ‘*’ ] joinstyle
unknown label
object linestyle
or dashes or linestyles[‘solid’  ‘dashed’, ‘dashdot’, ‘dotted’  (offset, onoffdashseq)  ''
''
'.'
':'
'None'
' '
''
]linewidth
or linewidths or lwfloat or sequence of floats norm
Normalize
offset_position
[ ‘screen’  ‘data’ ] offsets
float or sequence of floats path_effects
AbstractPathEffect
picker
[None  bool  float  callable] pickradius
float distance in points rasterized
bool or None sketch_params
(scale: float, length: float, randomness: float) snap
bool or None transform
Transform
url
a url string urls
List[str] or None visible
bool zorder
float
Note
In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]: