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fldataprofier fit VN30F1M_5m_feature.csv VN30F1M_5m_label.csv --mod eda
Traceback (most recent call last):
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/bin/fldataprofier", line 10, in <module>
sys.exit(main())
^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/fldataprofier/cli.py", line 49, in main
result = module.run(
^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/fldataprofier/modules/eda.py", line 74, in run
numeric_summary = _numeric_summary(
^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/fldataprofier/modules/eda.py", line 206, in _numeric_summary
"q25": _round(float(series.quantile(0.25))),
^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/series.py", line 2677, in quantile
result = df.quantile(q=q, interpolation=interpolation, numeric_only=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/frame.py", line 16132, in quantile
res_df = self.quantile(
^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/frame.py", line 16177, in quantile
res = data._mgr.quantile(qs=q, interpolation=interpolation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/internals/managers.py", line 1728, in quantile
blk.quantile(qs=qs, interpolation=interpolation) for blk in self.blocks
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/internals/blocks.py", line 1495, in quantile
result = quantile_compat(self.values, np.asarray(qs._values), interpolation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/array_algos/quantile.py", line 39, in quantile_compat
return quantile_with_mask(values, mask, fill_value, qs, interpolation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/array_algos/quantile.py", line 97, in quantile_with_mask
result = _nanquantile(
^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/pandas/core/array_algos/quantile.py", line 218, in _nanquantile
return np.quantile(
^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 4537, in quantile
return _quantile_unchecked(
^^^^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 4550, in _quantile_unchecked
return _ureduce(a,
^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 3894, in _ureduce
r = func(a, **kwargs)
^^^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 4727, in _quantile_ureduce_func
result = _quantile(arr,
^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 4859, in _quantile
result = _lerp(previous,
^^^^^^^^^^^^^^^
File "/home/v002353/Desktop/SN/fl-data-profiler/.venv/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py", line 4653, in _lerp
diff_b_a = subtract(b, a)
^^^^^^^^^^^^^^
TypeError: numpy boolean subtract, the `-` operator, is not supported, use the bitwise_xor, the `^` operator, or the logical_xor function instead.