Closed
Description
Bug report
Bug summary
Calling plt.errorbar(date, y, yerr) with date as a numpy.datetime64 array fails with AttributeError: 'numpy.datetime64' object has no attribute 'toordinal'. The same command works without yerr.
Code for reproduction
from matplotlib import pyplot as plt
import numpy as np
import datetime
n = 24
base = datetime.datetime(2000, 1, 1)
x = np.array([base + datetime.timedelta(hours=i) for i in range(n)]
).astype(np.datetime64)
y = np.arange(n)
# works
plt.errorbar(x, y)
# error
plt.errorbar(x, y, yerr=2)Actual outcome
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-72-14ee6a2415cf> in <module>()
11
12 plt.errorbar(x, y)
---> 13 plt.errorbar(x, y, yerr=2)
/opt/conda/lib/python3.6/site-packages/matplotlib/pyplot.py in errorbar(x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize, barsabove, lolims, uplims, xlolims, xuplims, errorevery, capthick, hold, data, **kwargs)
2989 xlolims=xlolims, xuplims=xuplims,
2990 errorevery=errorevery, capthick=capthick, data=data,
-> 2991 **kwargs)
2992 finally:
2993 ax._hold = washold
/opt/conda/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
1865 "the Matplotlib list!)" % (label_namer, func.__name__),
1866 RuntimeWarning, stacklevel=2)
-> 1867 return func(ax, *args, **kwargs)
1868
1869 inner.__doc__ = _add_data_doc(inner.__doc__,
/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_axes.py in errorbar(self, x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize, barsabove, lolims, uplims, xlolims, xuplims, errorevery, capthick, **kwargs)
3324 xo, _ = xywhere(x, lower, noylims & everymask)
3325 lo, uo = xywhere(lower, upper, noylims & everymask)
-> 3326 barcols.append(self.vlines(xo, lo, uo, **eb_lines_style))
3327 if capsize > 0:
3328 caplines.append(mlines.Line2D(xo, lo, marker='_',
/opt/conda/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
1865 "the Matplotlib list!)" % (label_namer, func.__name__),
1866 RuntimeWarning, stacklevel=2)
-> 1867 return func(ax, *args, **kwargs)
1868
1869 inner.__doc__ = _add_data_doc(inner.__doc__,
/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_axes.py in vlines(self, x, ymin, ymax, colors, linestyles, label, **kwargs)
1031
1032 # We do the conversion first since not all unitized data is uniform
-> 1033 x = self.convert_xunits(x)
1034 ymin = self.convert_yunits(ymin)
1035 ymax = self.convert_yunits(ymax)
/opt/conda/lib/python3.6/site-packages/matplotlib/artist.py in convert_xunits(self, x)
189 if ax is None or ax.xaxis is None:
190 return x
--> 191 return ax.xaxis.convert_units(x)
192
193 def convert_yunits(self, y):
/opt/conda/lib/python3.6/site-packages/matplotlib/axis.py in convert_units(self, x)
1524 return x
1525
-> 1526 ret = self.converter.convert(x, self.units, self)
1527 return ret
1528
/opt/conda/lib/python3.6/site-packages/matplotlib/dates.py in convert(value, unit, axis)
1814 The *unit* and *axis* arguments are not used.
1815 """
-> 1816 return date2num(value)
1817
1818 @staticmethod
/opt/conda/lib/python3.6/site-packages/matplotlib/dates.py in date2num(d)
450 if not d.size:
451 return d
--> 452 return _to_ordinalf_np_vectorized(d)
453
454
/opt/conda/lib/python3.6/site-packages/numpy/lib/function_base.py in __call__(self, *args, **kwargs)
1970 vargs.extend([kwargs[_n] for _n in names])
1971
-> 1972 return self._vectorize_call(func=func, args=vargs)
1973
1974 def _get_ufunc_and_otypes(self, func, args):
/opt/conda/lib/python3.6/site-packages/numpy/lib/function_base.py in _vectorize_call(self, func, args)
2040 res = func()
2041 else:
-> 2042 ufunc, otypes = self._get_ufunc_and_otypes(func=func, args=args)
2043
2044 # Convert args to object arrays first
/opt/conda/lib/python3.6/site-packages/numpy/lib/function_base.py in _get_ufunc_and_otypes(self, func, args)
2000
2001 inputs = [arg.flat[0] for arg in args]
-> 2002 outputs = func(*inputs)
2003
2004 # Performance note: profiling indicates that -- for simple
/opt/conda/lib/python3.6/site-packages/matplotlib/dates.py in _to_ordinalf(dt)
253 tzi = UTC
254
--> 255 base = float(dt.toordinal())
256
257 # If it's sufficiently datetime-like, it will have a `date()` method
AttributeError: 'numpy.datetime64' object has no attribute 'toordinal'
Expected outcome
The command should succeed, and the correct date should be shown on the x axis (as happens when yerr is not specified). This did work in previous versions of matplotlib, but I don't know exactly which ones.
Matplotlib version
- Operating system: linux
- Matplotlib version: 2.2.3
- Matplotlib backend (
print(matplotlib.get_backend())):
module://ipykernel.pylab.backend_inline - Python version: 3.6
- Jupyter version (if applicable):
- Other libraries: numpy 1.15.1
everything installed from conda