Open rushiai opened 3 years ago
I had the same problem. Following helped:
pip uninstall pandas pip install pandas
I had the same problem. Following helped:
pip uninstall pandas pip install pandas
doing so gave raise to this
I too am getting the same issue. Please help me if anyone got it resolved!
No improvement even after uninstall and install
Faced the same issue, tried reinstalling pandas - got another problem
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-14-43151a3c765d> in <module>
2
3 reg = LazyRegressor(verbose=0, ignore_warnings=True, custom_metric=None)
----> 4 models, predictions = reg.fit(X_train, X_valid, y_train, y_valid)
5
6 print(models)
/opt/conda/lib/python3.8/site-packages/lazypredict/Supervised.py in fit(self, X_train, X_test, y_train, y_test)
572 categorical_features = X_train.select_dtypes(include=["object"]).columns
573
--> 574 categorical_low, categorical_high = get_card_split(
575 X_train, categorical_features
576 )
/opt/conda/lib/python3.8/site-packages/lazypredict/Supervised.py in get_card_split(df, cols, n)
142 Columns with cardinality >= n
143 """
--> 144 cond = df[cols].nunique() > n
145 card_high = cols[cond]
146 card_low = cols[~cond]
/opt/conda/lib/python3.8/site-packages/pandas/core/ops/common.py in new_method(self, other)
63 break
64 if isinstance(other, cls):
---> 65 return NotImplemented
66
67 other = item_from_zerodim(other)
/opt/conda/lib/python3.8/site-packages/pandas/core/ops/__init__.py in wrapper(self, other)
368 # to avoid constructing two potentially large/sparse DataFrames
369 join_columns, _, _ = left.columns.join(
--> 370 right.columns, how="outer", level=None, return_indexers=True
371 )
372
/opt/conda/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in comparison_op(left, right, op)
249 rvalues = ensure_wrapped_if_datetimelike(right)
250
--> 251 rvalues = lib.item_from_zerodim(rvalues)
252 if isinstance(rvalues, list):
253 # TODO: same for tuples?
/opt/conda/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in na_arithmetic_op(left, right, op, is_cmp)
138 def _na_arithmetic_op(left, right, op, is_cmp: bool = False):
139 """
--> 140 Return the result of evaluating op on the passed in values.
141
142 If native types are not compatible, try coercion to object dtype.
/opt/conda/lib/python3.8/site-packages/pandas/core/computation/expressions.py in <module>
17 from pandas._typing import FuncType
18
---> 19 from pandas.core.computation.check import NUMEXPR_INSTALLED
20 from pandas.core.ops import roperator
21
/opt/conda/lib/python3.8/site-packages/pandas/core/computation/check.py in <module>
1 from pandas.compat._optional import import_optional_dependency
2
----> 3 ne = import_optional_dependency("numexpr", errors="warn")
4 NUMEXPR_INSTALLED = ne is not None
5 if NUMEXPR_INSTALLED:
TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'¸¸¸
Then i found a suggestion to align numpy and pandas versions with
!pip uninstall numpy -y
!pip install numpy==1.20.1
!pip uninstall pandas -y
!pip install pandas==1.2.2
And LazyPredict is running now! :)
Edit: The script ran successfully after that!
Re-installing pandas to 1.1.5 works for me even though some incompatible warning messages from lazy predict. I think the version for pandas 1.0.5 should be updated to 1.1.5.
Under windows 11 environment, I get the same error after reinstalling.
ImportError: cannot import name 'NoDefault' from 'pandas._libs.lib' (z:\etc\pythons\p37\lib\site-packages\pandas\_libs\lib.cp37-win_amd64.pyd)
Description
Im running libeary on google colab
What I Did
clf = LazyClassifier(verbose=0, ignore_warnings=True, custom_metric=None) models, predictions = clf.fit(X_train, X_test, y_train, y_test) models