Remove versioneer in favor of setuptools_scm

[cdeline]

I'll squash some deprecationWarnings while I'm in here:

• [x] bifacialvf\bifacialvf.py:94 DeprecationWarning: invalid escape sequence '\E'
• [x] bifacialvf/tests/test_bifacialvf.py::31: FutureWarning: The behavior of 'isin' with dtype=datetime64[ns, UTC-05:00] and castable values (e.g. strings) is deprecated. In a future version, these will not be considered matching by isin. Explicitly cast to the appropriate dtype before calling isin instead. assert np.allclose(myTMY3[myTMY3.index.isin(...
• [x] bifacialvf/tests/test_bifacialvf.py::test_1axis_endtoend sun.py:726, 729: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method. sunup['minutedelta'].mask(sunrisemask,np.floor((60-(sunup['sunrise'].dt.minute))/2),inplace=True)
• [x] bifacialvf\bifacialvf.py:327: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method. trackingdata.surface_tilt.fillna(stowingangle, inplace=True)

[mikofski]

Hi Chris, why leave pandas out of the updates? I think v0.25 is very old. Latest version is pandas-2.2. I think best practice is NEP-29 which puts you closer to pandas-1.4

[cdeline]

@mikofski - great point. By removing python 3.7 support we could bump up pandas to 2.0.3 and numpy to 1.24.4 which I believe is the limit for py 3.8 support.