<p>您可以使用<a href="https://matplotlib.org/devdocs/gallery/lines_bars_and_markers/broken_barh.html" rel="nofollow noreferrer">^{<cd1>}</a>绘制二进制时间线。在</p>
<p><a href="https://i.stack.imgur.com/p7oL9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/p7oL9.png" alt="enter image description here"/></a></p>
<pre><code>import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates
#create a time series s with dates as index and 0 and 1 for events
dates = pd.date_range("2017-04-01","2017-06-15", freq="D")
events = np.random.random_integers(0,1,size=len(dates))
s = pd.Series(events, index=dates)
fig, ax= plt.subplots(figsize=(6,2))
# plot green for event==1
s1 = s[s == 1]
inxval = matplotlib.dates.date2num(s1.index.to_pydatetime())
times= zip(inxval, np.ones(len(s1)))
plt.broken_barh(times, (-1,1), color="green")
# plot red for event==0
s2 = s[s == 0]
inxval = matplotlib.dates.date2num(s2.index.to_pydatetime())
times= zip(inxval, np.ones(len(s2)))
plt.broken_barh(times, (-1,1), color="red")
#format axes
ax.margins(0)
ax.set_yticks([])
ax.xaxis.set_major_locator(matplotlib.dates.MonthLocator())
ax.xaxis.set_minor_locator(matplotlib.dates.DayLocator())
monthFmt = matplotlib.dates.DateFormatter("%b")
ax.xaxis.set_major_formatter(monthFmt)
plt.tight_layout()
plt.show()
</code></pre>