Folded bar graph with datetime in matplotlib

Question

I am trying to create a complex histogram with datetime objects, but I get the following error:

 TypeError: unorderable types: datetime.datetime() < float()

The code works when I either convert objects to timestamps, or when I use one data range (without styling).

import datetime
import matplotlib.pyplot as plt

data = [[datetime.datetime(2015, 12, 24, 21, 13, 45), datetime.datetime(2015, 12, 30, 23, 37, 8), datetime.datetime(2015, 12, 30, 19, 43, 18), datetime.datetime(2015, 12, 30, 16, 14, 12), datetime.datetime(2015, 12, 30, 11, 32, 8), datetime.datetime(2015, 12, 29, 6, 29, 25), datetime.datetime(2015, 12, 28, 22, 54, 49), datetime.datetime(2015, 12, 28, 18, 41, 50), datetime.datetime(2015, 12, 28, 14, 25, 42), datetime.datetime(2015, 12, 28, 3, 1, 34), datetime.datetime(2015, 12, 27, 21, 10, 20), datetime.datetime(2015, 12, 27, 11, 29, 38), datetime.datetime(2015, 12, 26, 20, 34, 14), datetime.datetime(2015, 12, 26, 16, 58, 47), datetime.datetime(2015, 12, 26, 10, 54, 40), datetime.datetime(2015, 12, 25, 18, 17, 42), datetime.datetime(2015, 12, 24, 15, 44, 58), datetime.datetime(2015, 12, 25, 17, 25, 9), datetime.datetime(2015, 12, 25, 12, 33, 7), datetime.datetime(2015, 12, 30, 19, 26, 15), datetime.datetime(2015, 12, 30, 12, 46, 13), datetime.datetime(2015, 12, 30, 3, 38, 24), datetime.datetime(2015, 12, 25, 21, 11, 59), datetime.datetime(2015, 12, 25, 13, 30, 34), datetime.datetime(2015, 12, 24, 14, 6, 20)], [datetime.datetime(2015, 12, 28, 20, 59, 53), datetime.datetime(2015, 12, 27, 14, 3, 41), datetime.datetime(2015, 12, 26, 9, 37, 17)], [datetime.datetime(2015, 12, 29, 17, 18, 32)], [datetime.datetime(2015, 12, 29, 23, 15, 24)]]

fig, histograms = plt.subplots(5, 1, sharex=True, squeeze=False)
h = histograms[1][0]
h.hist(data, stacked=True)

This is the code without styling:

import datetime
import matplotlib.pyplot as plt

data = [datetime.datetime(2015, 12, 24, 21, 13, 45), datetime.datetime(2015, 12, 30, 23, 37, 8), datetime.datetime(2015, 12, 30, 19, 43, 18), datetime.datetime(2015, 12, 30, 16, 14, 12), datetime.datetime(2015, 12, 30, 11, 32, 8), datetime.datetime(2015, 12, 29, 6, 29, 25), datetime.datetime(2015, 12, 28, 22, 54, 49), datetime.datetime(2015, 12, 28, 18, 41, 50), datetime.datetime(2015, 12, 28, 14, 25, 42), datetime.datetime(2015, 12, 28, 3, 1, 34), datetime.datetime(2015, 12, 27, 21, 10, 20), datetime.datetime(2015, 12, 27, 11, 29, 38), datetime.datetime(2015, 12, 26, 20, 34, 14), datetime.datetime(2015, 12, 26, 16, 58, 47), datetime.datetime(2015, 12, 26, 10, 54, 40), datetime.datetime(2015, 12, 25, 18, 17, 42), datetime.datetime(2015, 12, 24, 15, 44, 58), datetime.datetime(2015, 12, 25, 17, 25, 9), datetime.datetime(2015, 12, 25, 12, 33, 7), datetime.datetime(2015, 12, 30, 19, 26, 15), datetime.datetime(2015, 12, 30, 12, 46, 13), datetime.datetime(2015, 12, 30, 3, 38, 24), datetime.datetime(2015, 12, 25, 21, 11, 59), datetime.datetime(2015, 12, 25, 13, 30, 34), datetime.datetime(2015, 12, 24, 14, 6, 20), datetime.datetime(2015, 12, 28, 20, 59, 53), datetime.datetime(2015, 12, 27, 14, 3, 41), datetime.datetime(2015, 12, 26, 9, 37, 17), datetime.datetime(2015, 12, 29, 17, 18, 32), datetime.datetime(2015, 12, 29, 23, 15, 24)]

fig, histograms = plt.subplots(5, 1, sharex=True, squeeze=False)
h = histograms[1][0]
h.hist(data, stacked=True)

Note: According to the answers, this is considered a mistake. For future visitors, I sent an error report https://github.com/matplotlib/matplotlib/issues/5898 in case you want to track progress

Answer 1

, 1.5.x, datetime. matplotlib datetime, , , - float.

. , , ( np.inf ). , , , numpy, , , .

" ", datetime.datetime pyplot.hist(), UNIX ( x). , datetime.datetime.

, , , timestamp, - . h.hist([[t.timestamp() for t in s] for s in data], stacked=True). , , , , .

, / , , matplotlib github.

, (matplotlib 1.5.1, Python 3),

import datetime
import matplotlib.pyplot as plt

data = [[datetime.datetime(2015, 12, 24, 21, 13, 45), datetime.datetime(2015, 12, 30, 23, 37, 8), datetime.datetime(2015, 12, 30, 19, 43, 18), datetime.datetime(2015, 12, 30, 16, 14, 12), datetime.datetime(2015, 12, 30, 11, 32, 8), datetime.datetime(2015, 12, 29, 6, 29, 25), datetime.datetime(2015, 12, 28, 22, 54, 49), datetime.datetime(2015, 12, 28, 18, 41, 50), datetime.datetime(2015, 12, 28, 14, 25, 42), datetime.datetime(2015, 12, 28, 3, 1, 34), datetime.datetime(2015, 12, 27, 21, 10, 20), datetime.datetime(2015, 12, 27, 11, 29, 38), datetime.datetime(2015, 12, 26, 20, 34, 14), datetime.datetime(2015, 12, 26, 16, 58, 47), datetime.datetime(2015, 12, 26, 10, 54, 40), datetime.datetime(2015, 12, 25, 18, 17, 42), datetime.datetime(2015, 12, 24, 15, 44, 58), datetime.datetime(2015, 12, 25, 17, 25, 9), datetime.datetime(2015, 12, 25, 12, 33, 7), datetime.datetime(2015, 12, 30, 19, 26, 15), datetime.datetime(2015, 12, 30, 12, 46, 13), datetime.datetime(2015, 12, 30, 3, 38, 24), datetime.datetime(2015, 12, 25, 21, 11, 59), datetime.datetime(2015, 12, 25, 13, 30, 34), datetime.datetime(2015, 12, 24, 14, 6, 20)], [datetime.datetime(2015, 12, 28, 20, 59, 53), datetime.datetime(2015, 12, 27, 14, 3, 41), datetime.datetime(2015, 12, 26, 9, 37, 17)], [datetime.datetime(2015, 12, 29, 17, 18, 32)], [datetime.datetime(2015, 12, 29, 23, 15, 24)]]

fig, histograms = plt.subplots(5, 1, sharex=True, squeeze=False)
h = histograms[1][0]

h.hist([[t.timestamp() for t in l] for l in data], stacked=True)

locs, labels = plt.xticks()
plt.xticks(locs,[datetime.datetime.fromtimestamp(t) for t in locs], rotation='vertical')
plt.gcf().subplots_adjust(bottom=0.4)
fig.set_size_inches(4, 15)

plt.show()