Python 条形图绘制

import numpy as np
import matplotlib.pyplot as plt

plt.style.use('ggplot')
logistic_regression = [
    [184, 111, 76],
    [116, 80, 62],
    [15, 6, 3]
]

engines = ['Hadoop', 'HadoopBinMem', 'Spark']
colors = 'rgb'

fig, ax1 = plt.subplots(ncols=1)

idx = np.arange(len(logistic_regression[0]))

n = len(logistic_regression)
width = 1.0 / (n + 1)
for i in range(n):
    ax1.bar(idx + i * width, logistic_regression[i], width, color=colors[i], alpha=0.5)
    xpos = idx + (i + 0.5) * width
    ypos = logistic_regression[i]
    #for j in range(len(ypos)):
        #ax1.text(xpos[j], ypos[j], str(ypos[j]), ha='center', va='bottom', rotation=90)
ax1.legend(engines)
#ax1.set_xticks(idx + 0.5, [25, 50, 100])
ax1.set_xticks(idx+1*0.25)
ax1.set_xticklabels(["ISSC","kmeans","Spectralclustering"])
#ax1.set_xlim([1, 4])

ax1.set_xlabel('Number of machines')
ax1.set_ylabel('Iteration time (s)')
ax1.set_title('Logistic Regression')

plt.show()