Honeycomb pattern plot using python

 

import matplotlib.pyplot as plt

import numpy as np

x=np.random.randn(10000)

y=np.random.randn(10000)

plt.hexbin(x,y,gridsize=30,cmap='Blues',edgecolor='gray')

plt.colorbar(label='Count in bin')

plt.title('Honeycomb pattern plot')

plt.xlabel("X-axis")

plt.ylabel("Y-axis")

plt.show()

 #source code --> clcoding.com 

Code Explanation:

1. Import Required Libraries

import matplotlib.pyplot as plt

import numpy as np

matplotlib.pyplot is used for plotting.

numpy is used for numerical operations like generating random data.

2. Generate Random Data

x = np.random.randn(10000)

y = np.random.randn(10000)

np.random.randn(10000) generates 10,000 random numbers from a normal distribution (mean = 0, standard deviation = 1).

Two sets of such numbers are stored in x and y, forming random (x, y) pairs.

3. Create a Hexbin Plot

plt.hexbin(x, y, gridsize=30, cmap='Blues', edgecolor='gray')

hexbin(x, y, gridsize=30, cmap='Blues', edgecolor='gray'):

gridsize=30: Specifies the number of hexagonal bins in the grid (higher value = smaller hexagons).

cmap='Blues': Uses the "Blues" colormap for coloring the hexagons based on data density.

edgecolor='gray': Adds gray borders around hexagons for better visibility.

4. Add a Color Bar

plt.colorbar(label='Count in bin')

plt.colorbar() adds a color scale bar.

label='Count in bin' describes the color bar as representing the number of points inside each hexagon.

5. Customize the Plot

plt.title('Honeycomb pattern plot')

plt.xlabel("X-axis")

plt.ylabel("Y-axis")

Adds title and axis labels.

6. Display the Plot

plt.show()

Renders the plot.