<p>这很好:</p>
<pre><code>import matplotlib
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
x = [u'Rimegepant',u'Rimegepant',u'Zavegepant',u'Zavegepant',u'Troriluzole',u'Troriluzole',u'Troriluzole',u'Verdiperstat',u'Verdiperstat']
y = [4,3,3,3,2,3,3,3,3]
Disease = ['Acute Treatment of Migraine','Preventive Treatment of Migraine','Acute and Preventive Migraine','Lung Inflammation COVID-19',"Alzheimer's Disease", "OCD", "Spinocerebellar Ataxia", "Multiple System Atrophy", "Amyotrophic Lateral Sclerosis"]
Disease.reverse()
fig, ax = plt.subplots()
width = 0.75 # the width of the bars
ind = np.arange(len(y)) # the x locations for the groups
bar_plot = ax.barh(ind, y, width, color="green", align='edge')
ax.set_yticks(ind+width/2)
ax.set_yticklabels(x, minor=False)
plt.xticks(np.arange(5),('Pre-clinical','Phase I','Phase II','Phase III', 'Approved'))
def autolabel(bar_plot):
for idx,rect in enumerate(bar_plot):
ax.text(0.25, idx+.25, Disease[idx], color = 'white')
autolabel(bar_plot)
plt.margins(0,0.05)
plt.title('BHVN')
plt.ylabel('Drug')
plt.show()
</code></pre>