python - How to plot a rectangle on a datetime axis using matplotlib? -


i tried plot rectangle on graph datetime x-axis using following code:

from datetime import datetime, timedelta matplotlib.patches import rectangle import matplotlib.pyplot plt  # create new plot fig = plt.figure() ax = fig.add_subplot(111)  # create rectangle starttime = datetime.now() width = timedelta(seconds = 1) endtime = starttime + width rect = rectangle((starttime, 0), width, 1, color='yellow')  # plot rectangle ax.add_patch(rect)   ### error here!!! ### plt.xlim([starttime, endtime]) plt.ylim([0, 1]) plt.show()

however, error:

typeerror: unsupported operand type(s) +: 'float' , 'datetime.timedelta'

what's going wrong? (i'm using matplotlib version 1.0.1)

the problem matplotlib uses own representation of dates/times (floating number of days), have convert them first. furthermore, have tell xaxis should have date/time ticks , labels. code below that:

from datetime import datetime, timedelta matplotlib.patches import rectangle import matplotlib.pyplot plt import matplotlib.dates 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 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 x-axis proper labels locator = mdates.autodatelocator(minticks=3) formatter = mdates.autodateformatter(locator) ax.xaxis.set_major_locator(locator) ax.xaxis.set_major_formatter(formatter)  # set limits plt.xlim([start-width, end+width]) plt.ylim([-.5, 1.5])  # go plt.show()

result:

enter image description here

note: matplotlib 1.0.1 very old. can't guarantee example work. should try update!


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