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# Matplotlib.pyplot.hexbin() function in Python

• Last Updated : 05 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.

## Matplotlib.pyplot.hexbin() function

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

Syntax: 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=, 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.pyplot.hexbin() function in matplotlib.pyplot:

Example 1:

## Python3

 `# 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) ``    ` `plt.hexbin(x, y, gridsize ``=` `50``, cmap ``=``'Greens'``) ``plt.title(``'matplotlib.pyplot.hexbin() Example'``) ``plt.show() `

Output: Example 2:

## Python3

 `# 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``() ``   ` `hb ``=` `plt.hexbin(x, y, gridsize ``=` `50``, ``               ``bins ``=` `z, cmap ``=``'BuGn'``) ``   ` `plt.xlim(xmin, xmax)``plt.ylim(ymin, ymax)``   ` `cb ``=` `plt.colorbar(hb) ``cb.set_label(z)``plt.title('matplotlib.pyplot.hexbin()\``Example')`` ` `plt.show()`

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