after #13145 some RunTimeWarnings remain in the codebase. We should look at these and silence (using np.errstate), or fix if we are testing something odd. (running the full test suite will show these; I have extracted them, some are showing a level too low in the stack).
after #13145 some RunTimeWarnings remain in the codebase. We should look at these and silence (using
np.errstate), or fix if we are testing something odd. (running the full test suite will show these; I have extracted them, some are showing a level too low in the stack).pandas/pandas/tseries/index.py:526: RuntimeWarning: overflow encountered in long_scalars return lambda x: Timestamp(x, freq=self.offset, tz=self.tz)pandas/pandas/tseries/tests/test_tslib.py:453: RuntimeWarning: overflow encountered in long_scalar self.assertIs(ts.tz_localize(tz, errors='coerce'),pandas/pandas/core/internals.py:2341: RuntimeWarning: overflow encountered in long_scalar f = lambda x: lib.Timestamp(x, tz=self.values.tz)pandas/pandas/core/internals.py:4753: ComplexWarning: Casting complex values to real discards the imaginary part nn_at = nn.astype(v.dtype)pandas/pandas/tests/test_algos.py:735: RuntimeWarning: overflow encountered in long_scalars np.array([pd.Timestamp(d, tz='US/Eastern') for d in dt]),pandas/pandas/core/ops.py:650: RuntimeWarning: invalid value encountered in double_scalars lambda x: op(x, rvalues))