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File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.__dict__)
File "/Users/tiberti/devel/MAVISp/pages/1_MAVISp_simple_mode.py", line 189, in <module>
plots = plot_lolliplots(this_dataset_table)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/streamlit/runtime/caching/cache_utils.py", line 212, in wrapper
return cached_func(*args, **kwargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/streamlit/runtime/caching/cache_utils.py", line 241, in __call__
return self._get_or_create_cached_value(args, kwargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/streamlit/runtime/caching/cache_utils.py", line 267, in _get_or_create_cached_value
return self._handle_cache_miss(cache, value_key, func_args, func_kwargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/streamlit/runtime/caching/cache_utils.py", line 321, in _handle_cache_miss
computed_value = self._info.func(*func_args, **func_kwargs)
File "/Users/tiberti/devel/MAVISp/streamlit_utils.py", line 120, in plot_lolliplots
_, processed_df = process_input_for_dotplot(df, d_cutoff=0.3, r_cutoff=0.5, g_cutoff=0.3)
File "/Users/tiberti/devel/MAVISp/dot_plot.py", line 313, in process_input
df.replace(effect_code,
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/generic.py", line 7819, in replace
return self.replace(
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/generic.py", line 7867, in replace
new_data = self._mgr.replace_list(
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/internals/base.py", line 253, in replace_list
bm = self.apply_with_block(
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/internals/managers.py", line 354, in apply
applied = getattr(b, f)(**kwargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/internals/blocks.py", line 865, in replace_list
masks = list(masks)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/internals/blocks.py", line 852, in <genexpr>
compare_or_regex_search(
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/pandas/core/array_algos/replace.py", line 98, in compare_or_regex_search
result = op(a)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/numpy/lib/function_base.py", line 2372, in __call__
return self._call_as_normal(*args, **kwargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/numpy/lib/function_base.py", line 2365, in _call_as_normal
return self._vectorize_call(func=func, args=vargs)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/numpy/lib/function_base.py", line 2450, in _vectorize_call
ufunc, otypes = self._get_ufunc_and_otypes(func=func, args=args)
File "/Users/tiberti/devel/MAVISp/env/lib/python3.9/site-packages/numpy/lib/function_base.py", line 2406, in _get_ufunc_and_otypes
raise ValueError('cannot call `vectorize` on size 0 inputs '
ValueError: cannot call `vectorize` on size 0 inputs unless `otypes` is set
Traceback is
this is most likely due to pandas-dev/pandas#54399
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