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.
Sample Code
# sample code import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) plt.show() |
Output:
matplotlib.pyplot.tripcolor() Function
The tripcolor() function in pyplot module of matplotlib library is used to create a pseudocolor plot of an unstructured triangular grid.
Syntax: matplotlib.pyplot.tripcolor(*args, alpha=1.0, norm=None, cmap=None, vmin=None, vmax=None, shading=’flat’, facecolors=None, **kwargs)
Parameters: This method accept the following parameters that are described below:
- x, y: These parameter are the x and y coordinates of the data which is to be plot.
- triangulation: This parameter is a matplotlib.tri.Triangulation object.
- **kwargs: This parameter is Text properties that is used to control the appearance of the labels.
All remaining
argsandkwargsare the same as for matplotlib.pyplot. pcolor().Returns: This returns the list of 2 Line2D containing following:
- The lines plotted for triangles edges.
- The markers plotted for triangles nodes
Below examples illustrate the matplotlib.pyplot.tripcolor() function in matplotlib.pyplot:
Example-1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np ang = 40rad = 10radm = 0.35radii = np.linspace(radm, 0.95, rad) angles = np.linspace(0, 1.5 * 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) fig1, ax1 = plt.subplots() ax1.set_aspect('equal') tpc = ax1.tripcolor(triang, z, shading ='flat') fig1.colorbar(tpc) fig1.suptitle('matplotlib.pyplot.tripcolor() function\ Example\n\n', fontweight ="bold") plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np xy = np.asarray([ [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872], [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933], [-0.045, 0.897], [-0.057, 0.895], [-0.073, 0.900], [-0.087, 0.898], [-0.090, 0.904], [-0.069, 0.907], [-0.069, 0.921], [-0.080, 0.919], [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949], [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959], [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965], [-0.097, 0.975], [-0.092, 0.984], [-0.101, 0.980], [-0.108, 0.980], [-0.104, 0.987], [-0.102, 0.993], [-0.115, 1.001], [-0.099, 0.996], [-0.101, 1.007], [-0.090, 1.010], [-0.087, 1.021], [-0.069, 1.021], [-0.052, 1.022], [-0.052, 1.017], [-0.069, 1.010], [-0.064, 1.005], [-0.048, 1.005], [-0.031, 1.005], [-0.031, 0.996], [-0.040, 0.987], [-0.045, 0.980], [-0.052, 0.975], [-0.040, 0.973], [-0.026, 0.968], [-0.020, 0.954], [-0.006, 0.947], [ 0.003, 0.935], [ 0.006, 0.926], [ 0.005, 0.921], [ 0.022, 0.923], [ 0.033, 0.912], [ 0.029, 0.905], [ 0.017, 0.900], [ 0.012, 0.895], [ 0.027, 0.893], [ 0.019, 0.886], [ 0.001, 0.883], [-0.012, 0.884], [-0.029, 0.883], [-0.038, 0.879], [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949], [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959], [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965], [-0.077, 0.990], [-0.059, 0.993]]) x, y = np.rad2deg(xy).T triangles = np.asarray([[ 1, 66, 2], [64, 2, 65], [63, 3, 64],[ 6, 5, 9], [61, 68, 62], [69, 68, 61], [ 9, 5, 70], [ 6, 8, 7], [21, 24, 22], [17, 16, 45], [20, 17, 45], [21, 25, 24], [27, 26, 28], [20, 72, 21], [25, 21, 72], [45, 72, 20], [25, 28, 26], [44, 73, 45], [72, 45, 73], [28, 25, 29], [29, 25, 31], [43, 73, 44], [73, 43, 40], [72, 73, 39], [72, 31, 25], [42, 40, 43], [31, 30, 29], [39, 73, 40], [ 4, 70, 5], [ 8, 6, 9], [56, 69, 57], [69, 56, 52], [70, 10, 9], [54, 53, 55], [56, 55, 53], [68, 70, 4], [52, 56, 53], [11, 10, 12], [69, 71, 68], [68, 13, 70], [10, 70, 13], [51, 50, 52], [13, 68, 71], [52, 71, 69], [12, 10, 13], [71, 52, 50], [71, 14, 13], [50, 49, 71], [49, 48, 71], [14, 16, 15], [14, 71, 48], [17, 19, 18], [17, 20, 19], [48, 16, 14], [48, 47, 16], [47, 46, 16], [16, 46, 45], [23, 22, 24], [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38], [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]]) xmid = x[triangles].mean(axis = 1) ymid = y[triangles].mean(axis = 1) x0 = -2y0 = 20zfaces = np.exp(-0.3 * ((xmid - x0) + (ymid - y0) )) fig3, ax3 = plt.subplots() ax3.set_aspect('equal') tpc = ax3.tripcolor(x, y, triangles, facecolors = zfaces, edgecolors ='k') fig3.colorbar(tpc) ax3.set_title('matplotlib.pyplot.tripcolor() Example') plt.show() |
Output:
