matplotlib.axes.Axes.hexbin   Axes.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, *, data=None, **kwargs)[source]
 
Make a 2D hexagonal binning plot of points x, y. If C is None, the value of the hexagon is determined by the number of points in the hexagon. Otherwise, C specifies values at the coordinate (x[i], y[i]). For each hexagon, these values are reduced using reduce_C_function.  Parameters 
 
x, yarray-like


The data positions. x and y must be of the same length.  
Carray-like, optional


If given, these values are accumulated in the bins. Otherwise, every point has a value of 1. Must be of the same length as x and y.  
gridsizeint or (int, int), default: 100


If a single int, the number of hexagons in the x-direction. The number of hexagons in the y-direction is chosen such that the hexagons are approximately regular. Alternatively, if a tuple (nx, ny), the number of hexagons in the x-direction and the y-direction.  
bins'log' or int or sequence, default: None


Discretization of the hexagon values.  If None, no binning is applied; the color of each hexagon directly corresponds to its count value. If 'log', use a logarithmic scale for the colormap. Internally, \(log_{10}(i+1)\) is used to determine the hexagon color. This is equivalent to norm=LogNorm(). If an integer, divide the counts in the specified number of bins, and color the hexagons accordingly. If a sequence of values, the values of the lower bound of the bins to be used.   
xscale{'linear', 'log'}, default: 'linear'


Use a linear or log10 scale on the horizontal axis.  
yscale{'linear', 'log'}, default: 'linear'


Use a linear or log10 scale on the vertical axis.  
mincntint > 0, default: None


If not None, only display cells with more than mincnt number of points in the cell.  
marginalsbool, default: False


If marginals is True, plot the marginal density as colormapped rectangles along the bottom of the x-axis and left of the y-axis.  
extent4-tuple of float, default: None


The limits of the bins (xmin, xmax, ymin, ymax). The default assigns the limits based on gridsize, x, y, xscale and yscale. If xscale or yscale is set to 'log', the limits are expected to be the exponent for a power of 10. E.g. for x-limits of 1 and 50 in 'linear' scale and y-limits of 10 and 1000 in 'log' scale, enter (1, 50, 1, 3).    Returns 
 PolyCollection

A PolyCollection defining the hexagonal bins.  
PolyCollection.get_offsets contains a Mx2 array containing the x, y positions of the M hexagon centers. 
PolyCollection.get_array contains the values of the M hexagons.  If marginals is True, horizontal bar and vertical bar (both PolyCollections) will be attached to the return collection as attributes hbar and vbar.    Other Parameters 
 
cmapstr or Colormap, default: rcParams["image.cmap"] (default: 'viridis')


The Colormap instance or registered colormap name used to map the bin values to colors.  
normNormalize, optional


The Normalize instance scales the bin values to the canonical colormap range [0, 1] for mapping to colors. By default, the data range is mapped to the colorbar range using linear scaling.  
vmin, vmaxfloat, default: None


The colorbar range. If None, suitable min/max values are automatically chosen by the Normalize instance (defaults to the respective min/max values of the bins in case of the default linear scaling). It is an error to use vmin/vmax when norm is given.  
alphafloat between 0 and 1, optional


The alpha blending value, between 0 (transparent) and 1 (opaque).  
linewidthsfloat, default: None


If None, defaults to 1.0.  
edgecolors{'face', 'none', None} or color, default: 'face'


The color of the hexagon edges. Possible values are:  'face': Draw the edges in the same color as the fill color. 'none': No edges are drawn. This can sometimes lead to unsightly unpainted pixels between the hexagons. 
None: Draw outlines in the default color. An explicit color.   
reduce_C_functioncallable, default: numpy.mean


The function to aggregate C within the bins. It is ignored if C is not given. This must have the signature: def reduce_C_function(C: array) -> float
 Commonly used functions are:  
numpy.mean: average of the points 
numpy.sum: integral of the point values 
numpy.amax: value taken from the largest point   
dataindexable object, optional


If given, the following parameters also accept a string s, which is interpreted as data[s] (unless this raises an exception): x, y, C  
**kwargsPolyCollection properties


All other keyword arguments are passed on to PolyCollection:   
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 array-like or scalar or None  
animated bool  
antialiased or aa or antialiaseds bool or list of bools  
array array-like or None  
capstyle CapStyle or {'butt', 'projecting', 'round'}  
clim (vmin: float, vmax: float)  
clip_box Bbox  
clip_on bool  
clip_path Patch or (Path, Transform) or None  
cmap Colormap or str or None  
color color or list of rgba tuples  
edgecolor or ec or edgecolors color or list of colors or 'face'  
facecolor or facecolors or fc color or list of colors  
figure Figure  
gid str  
hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}  
in_layout bool  
joinstyle JoinStyle or {'miter', 'round', 'bevel'}  
label object  
linestyle or dashes or linestyles or ls str or tuple or list thereof  
linewidth or linewidths or lw float or list of floats  
norm Normalize or None  
offset_transform Transform  
offsets (N, 2) or (2,) array-like  
path_effects AbstractPathEffect  
paths list of array-like  
picker None or bool or float or callable  
pickradius float  
rasterized bool  
sizes ndarray or None  
sketch_params (scale: float, length: float, randomness: float)  
snap bool or None  
transform Transform  
url str  
urls list of str or None  
verts list of array-like  
verts_and_codes unknown  
visible bool  
zorder float        See also  hist2d

2D histogram rectangular bins    
  Examples using matplotlib.axes.Axes.hexbin
 
   Hexagonal binned plot   

   hexbin(x, y, C)