Generate a hexagonal binning plot.

Generate a hexagonal binning plot of x versus y. 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, specifies values at given coordinates (x[i], y[i]). These values are accumulated for each hexagonal bin and then reduced according to reduce_C_function, having as default the NumPy’s mean function (numpy.mean()). (If C is specified, it must also be a 1-D sequence of the same length as x and y, or a column label.)

param x
int or str

The column label or position for x points.

param y
int or str

The column label or position for y points.

param C
int or str, optional

The column label or position for the value of (x, y) point.

param reduce_C_function
callable, default np.mean

Function of one argument that reduces all the values in a bin to a single number (e.g. np.mean, np.max, np.sum, np.std).

param gridsize
int or tuple of (int, int), default 100

The number of hexagons in the x-direction. The corresponding number of hexagons in the y-direction is chosen in a way that the hexagons are approximately regular. Alternatively, gridsize can be a tuple with two elements specifying the number of hexagons in the x-direction and the y-direction. **kwds Additional keyword arguments are documented in DataFrame.plot().


matplotlib.AxesSubplot The matplotlib Axes on which the hexbin is plotted.


This feature is currently unsupported by Intel Scalable Dataframe Compiler