Hi, I started using matplotlib and tried to adapt the sample code on the website according to my needs. I have the code below, which does what I want separately from the third bar in each group, overlaps the first of the following groups of bars. The internet is not good enough to add a picture, but any help would be great, and if you could explain what my mistake is, that would be appreciated.
Thanks Tom
""" Bar chart demo with pairs of bars grouped for easy comparison. """ import numpy as np import matplotlib.pyplot as plt n_groups = 3 means_e1 = (20, 35, 30) std_e1 = (2, 3, 4) means_e2 = (25, 32, 34) std_e2 = (3, 5, 2) means_e3 = (5, 2, 4) std_e3 = (0.3, 0.5, 0.2) fig, ax = plt.subplots() index = np.arange(n_groups) bar_width = 0.35 opacity = 0.4 error_config = {'ecolor': '0.3'} rects1 = plt.bar(index , means_e1, bar_width, alpha=opacity, color='b', yerr=std_e1, error_kw=error_config, label='Main') rects2 = plt.bar(index + bar_width + 0.1, means_e2, bar_width, alpha=opacity, color='r', yerr=std_e2, error_kw=error_config, label='e2') rects3 = plt.bar(index + bar_width + bar_width + 0.2, means_e3, bar_width, alpha=opacity, color='g', yerr=std_e3, error_kw=error_config, label='e3') plt.xlabel('Dataset type used') plt.ylabel('Percentage of reads joined after normalisation to 1 million reads') plt.title('Application of Thimble on datasets, showing the ability of each stitcher option.') plt.xticks(index + bar_width + bar_width, ('1', '2', '3')) plt.legend() plt.tight_layout() plt.show()