# Matplotlib.axes.Axes.hexbin() in Python

• Last Updated : 13 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

## matplotlib.axes.Axes.hexbin() Function

The Axes.hexbin() function in axes module of matplotlib library is used to make a 2D hexagonal binning plot of points x, y,

Syntax: Axes.hexbin(self, 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=, mincnt=None, marginals=False, *, data=None, **kwargs)

Parameters: This method accept the following parameters that are described below:

• x, y: These parameter are the sequence of data. x and y must be of the same length.
• C : This parameter are the values which are accumulated in the bins.
• gridsize : This parameter represents the number of hexagons in the x-direction or both direction.
• xscale : This parameter uses a linear or log10 scale on the horizontal axis.
• xycale : This parameter uses a linear or log10 scale on the vertical axis.
• mincnt : This parameter is used to display cells with more than mincnt number of points in the cell.
• marginals : This parameter is used to plot the marginal density as colormapped rectangles along the bottom of the x-axis and left of the y-axis.
• extent : This parameter is the limits of the bins.

Returns: This returns the following:

• polycollection :This returns the PolyCollection defining the hexagonal bins.

Below examples illustrate the matplotlib.axes.Axes.hexbin() function in matplotlib.axes:

Example-1:

 `# Implementation of matplotlib function``import` `matplotlib.pyplot as plt``import` `numpy as np`` ` `np.random.seed(``19680801``)`` ` `n ``=` `100000``x ``=` `np.random.standard_normal(n)``y ``=` `12` `*` `np.random.standard_normal(n)`` ` `fig, ax ``=` `plt.subplots()``ax.hexbin(x, y, gridsize ``=` `50``, cmap ``=``'Greens'``)``ax.set_title(``'matplotlib.axes.Axes.hexbin() Example'``)``plt.show()`

Output:

Example-2:

 `# Implementation of matplotlib function``import` `matplotlib.pyplot as plt``import` `numpy as np`` ` `np.random.seed(``19680801``)`` ` `n ``=` `100000``x ``=` `np.random.standard_normal(n)``y ``=` `2` `*` `np.random.standard_normal(n)``z ``=``[``1``, ``2``, ``3``, ``4``]``xmin ``=` `x.``min``()``xmax ``=` `x.``max``()``ymin ``=` `y.``min``()``ymax ``=` `y.``max``()`` ` `fig, axs ``=` `plt.subplots(ncols ``=` `3``,``                        ``sharey ``=` `True``)`` ` `ax ``=` `axs[``0``]``hb ``=` `ax.hexbin(x, y, gridsize ``=` `50``, ``               ``bins ``=``'log'``, ``               ``cmap ``=``'BuGn'``)`` ` `ax.``set``(xlim ``=``(xmin, xmax), ``       ``ylim ``=``(ymin, ymax))`` ` `cb ``=` `fig.colorbar(hb, ax ``=` `ax)``cb.set_label(``'log'``)`` ` `ax ``=` `axs[``1``]``hb ``=` `ax.hexbin(x, y, gridsize ``=` `50``,``               ``cmap ``=``'Greens'``)`` ` `ax.``set``(xlim ``=``(xmin, xmax), ``       ``ylim ``=``(ymin, ymax))`` ` `cb ``=` `fig.colorbar(hb, ax ``=` `ax)``cb.set_label(``'Values'``)`` ` `ax.set_title('matplotlib.axes.Axes.\``hexbin() Example')`` ` `ax ``=` `axs[``2``]``hb ``=` `ax.hexbin(x, y, gridsize ``=` `50``,``               ``bins ``=` `z, cmap ``=``'BuGn'``)`` ` `ax.``set``(xlim ``=``(xmin, xmax), ``       ``ylim ``=``(ymin, ymax))`` ` `cb ``=` `fig.colorbar(hb, ax ``=` `ax)``cb.set_label(z)``plt.show()`

Output:

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