Matplotlib.pyplot.bone() in Python (original) (raw)

Last Updated : 19 Apr, 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.bone() Function

The bone() function in pyplot module of matplotlib library is used to set the colormap to "bone".Syntax:

matplotlib.pyplot.bone()

Below examples illustrate the matplotlib.pyplot.bone() function in matplotlib.pyplot:Example 1:

Python3 1== `

Implementation of matplotlib function

import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np

ang = 40 rad = 10 radm = 0.35 radii = np.linspace(radm, 0.95, rad)

angles = np.linspace(0, 0.5 * np.pi, ang) angles = np.repeat(angles[..., np.newaxis], rad, axis = 1) angles[:, 1::2] += np.pi / ang

x = (radii * np.cos(angles)).flatten() y = (radii * np.sin(angles)).flatten() z = (np.sin(4 * radii) * np.cos(4 * angles)).flatten()

triang = tri.Triangulation(x, y) triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1), y[triang.triangles].mean(axis = 1)) < radm)

tpc = plt.tripcolor(triang, z, shading ='flat') plt.colorbar(tpc) plt.bone() plt.title('matplotlib.pyplot.bone() function
Example\n\n', fontweight ="bold") plt.show()

`

Output: Example 2:

Python3 1== `

Implementation of matplotlib function

import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm

dx, dy = 0.015, 0.05 x = np.arange(-4.0, 4.0, dx) y = np.arange(-4.0, 4.0, dy) X, Y = np.meshgrid(x, y)

extent = np.min(x), np.max(x), np.min(y), np.max(y) Z1 = np.add.outer(range(8), range(8)) % 2

plt.imshow(Z1, cmap ="binary_r", interpolation ='nearest', extent = extent, alpha = 1)

def geeks(x, y): return (1 - x / 2 + x5 + y6) * np.exp(-(x2 + y2))

Z2 = geeks(X, Y)

plt.imshow(Z2, alpha = 0.7, interpolation ='bilinear', extent = extent) plt.set_cmap("gist_rainbow")

plt.bone() plt.title('matplotlib.pyplot.bone()
function Example\n\n', fontweight ="bold") plt.show()

`

Output: