问题在于,matplotlib使用其自己的日期/时间表示形式(浮动天数),因此您必须先进行转换。此外,您将不得不告诉xaxis它应该具有日期/时间刻度和标签。下面的代码可以做到这一点:
from datetime import datetime, timedelta
from matplotlib.patches import Rectangle
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# Create new plot
fig = plt.figure()
ax = fig.add_subplot(111)
# Create rectangle x coordinates
startTime = datetime.Now()
endTime = startTime + timedelta(seconds = 1)
# convert to matplotlib date representation
start = mdates.date2num(startTime)
end = mdates.date2num(endTime)
width = end - start
# Plot rectangle
rect = Rectangle((start, 0), width, 1, color='yellow')
ax.add_patch(rect)
# assign date locator / formatter to the x-axis to get proper labels
locator = mdates.AutoDateLocator(minticks=3)
formatter = mdates.AutoDateFormatter(locator)
ax.xaxis.set_major_locator(locator)
ax.xaxis.set_major_formatter(formatter)
# set the limits
plt.xlim([start-width, end+width])
plt.ylim([-.5, 1.5])
# go
plt.show()
结果:
:Matplotlib 1.0.1 非常 旧。我不能保证我的例子会起作用。您应该尝试更新!