Closed
Description
Bug report
Bug summary
When creating a histogram of a list of datetimes, the input seems to be interpreted as a sequency of arrays.
Code for reproduction
from datetime import datetime
from matplotlib import pyplot as plt
plt.hist([datetime(2018,1,1), datetime(2018, 2, 1), datetime(2018,3, 1)])
# We get the expected result, when we cast the list to a numpy array (but only if we specify the dtype?!)
# import numpy
# plt.hist(numpy.array([datetime(2018,1,1), datetime(2018, 2, 1), datetime(2018,3, 1)], dtype='datetime64[h]'))Actual outcome
Output of n is a list of arrays, indicating that the input dates are interpreted as a sequence of arrays.
# If applicable, paste the console output here
([array([1., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),
array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.]), # <--- expected array instead of list of arrays
array([0., 0., 0., 0., 0., 0., 0., 0., 0., 1.])],
array([736695. , 736700.9, 736706.8, 736712.7, 736718.6, 736724.5,
736730.4, 736736.3, 736742.2, 736748.1, 736754. ]),
<a list of 3 Lists of Patches objects>)
Output of matplotlib version 2.2.0, 2.2.2 and 2.2.3
Expected outcome
# If applicable, paste the console output here
(array([1., 0., 0., 0., 0., 1., 0., 0., 0., 1.]),
array([736695. , 736700.9, 736706.8, 736712.7, 736718.6, 736724.5,
736730.4, 736736.3, 736742.2, 736748.1, 736754. ]),
<a list of 10 Patch objects>)
This worked in matplotlib version 2.1.2
Matplotlib version
- Operating system: Fedora 27
- Matplotlib version: 2.2.3
- Matplotlib backend (
print(matplotlib.get_backend())): agg - Python version: 3.6.5
- Jupyter version (if applicable):
- Other libraries: