This tutorial builds on the previous one, teaching you some more of the options for Matplotlib color-customization. In this video, we change the color of the x axis and y axis labels, the spine colors, and the title.
import matplotlib.pyplot as plt x = [] y = [] fig = plt.figure() rect = fig.patch rect.set_facecolor('#31312e') readFile = open('SampleData.txt','r') sepFile = readFile.read().split('\n') readFile.close() for plotPair in sepFile: xAndY = plotPair.split(',') x.append(int(xAndY[0])) y.append(int(xAndY[1])) ax1 = fig.add_subplot(1,1,1, axisbg='grey') ax1.plot(x, y, 'c', linewidth=3.3) ax1.tick_params(axis='x', colors='c') ax1.tick_params(axis='y', colors='c') ax1.spines['bottom'].set_color('w') ax1.spines['top'].set_color('w') ax1.spines['left'].set_color('w') ax1.spines['right'].set_color('w') ax1.yaxis.label.set_color('c') ax1.xaxis.label.set_color('c') ax1.set_title('Matplotlib graph', color='c') ax1.set_xlabel('x axis') ax1.set_ylabel('y axis') plt.show()
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