Python Matplotlib 柱状图加数值

柱状图加数值也是一项常规操作，这里采用的函数是text，主要获取加入text的位置与数值即可，因此，详细代码如下：这里写了auto_label与auto_text，两个都可以用，本人更喜欢用auto_text import matplotlib import matplotlib.pyplot as plt import numpy as np def auto_label(rects): for rect in rects: height = rect.get_height() ax.annotate('{}'.format(height), # put the detail data xy=(rect.get_x() + rect.get_width() / 2, height), # get the center location. xytext=(0, 3), # 3 points vertical offset textcoords="offset points", ha='center', va='bottom') def auto_text(rects): for rect in rects: ax.text(rect.get_x(), rect.get_height(), rect.get_height(), ha='left', va='bottom') labels = ['G1', 'G2', 'G3', 'G4', 'G5'] men_means = [20, 34, 30, 35, 27] women_means = [25, 32, 34, 20, 25] index = np.arange(len(labels)) width = 0.2 fig, ax = plt.subplots() rect1 = ax.bar(index - width / 2, men_means, color ='lightcoral', width=width, label ='Men') rect2 = ax.bar(index + width / 2, women_means, color ='springgreen', width=width, label ='Women') ax.set_title('Scores by gender') ax.set_xticks(ticks=index) ax.set_xticklabels(labels) ax.set_ylabel('Scores') ax.set_ylim(0, 50) # auto_label(rect1) # auto_label(rect2) auto_text(rect1) auto_text(rect2) ax.legend(loc='upper right', frameon=False) fig.tight_layout() plt.savefig('2.tif', dpi=300) plt.show()