fig, ax = plt.subplots()

np.random.seed(19680801)
limit_value = 30

date_array = np.array(
        [datetime.datetime(2023, 12, n) for n in range(1, limit_value)]
    , dtype=np.datetime64)
#date_array_converted = mpl.dates.date2num(date_array)
X, Y = np.meshgrid(date_array, date_array)
U = np.random.rand(limit_value-1, limit_value-1)
V = np.random.rand(limit_value-1, limit_value-1)

ax.streamplot(X, Y, U, V)

Traceback (most recent call last):
  File "/home/kyle/play/gh27487.py", line 22, in <module>
    ax.streamplot(X, Y, U, V)
  File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/__init__.py", line 1472, in inner
    return func(
           ^^^^^
  File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/streamplot.py", line 91, in streamplot
    grid = Grid(x, y)
           ^^^^^^^^^^
  File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/streamplot.py", line 330, in __init__
    if not np.allclose(x_row, x):
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/kyle/.pyenv/versions/edge/lib/python3.11/site-packages/numpy/core/numeric.py", line 2241, in allc
lose
    res = all(isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/kyle/.pyenv/versions/edge/lib/python3.11/site-packages/numpy/core/numeric.py", line 2345, in iscl
ose
    dt = multiarray.result_type(y, 1.)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
numpy.exceptions.DTypePromotionError: The DType <class 'numpy._FloatAbstractDType'> could not be promoted by <c
lass 'numpy.dtypes.DateTime64DType'>. This means that no common DType exists for the given inputs. For example 
they cannot be stored in a single array unless the dtype is `object`. The full list of DTypes is: (<class 'nump
y.dtypes.DateTime64DType'>, <class 'numpy._FloatAbstractDType'>)