Bug Report: module 'numba' has no attribute 'generated_jit' #1650
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Hi @ganbaaelmer , please use ydata-profiling instead, as e have deprecated the support for pandas-profiling in 2022. I'm closing this issue as this is related with the usage of older versions of the tool. |
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Current Behaviour
AttributeError Traceback (most recent call last)
Cell In[34], line 24
22 get_ipython().system('pip install numba==0.58.1')
23 import numba as nb
---> 24 import pandas_profiling # library for automatic EDA
27 from scipy import stats # statistical library
28 from statsmodels.stats.weightstats import ztest # statistical function for hypothesis testing
File c:\Users\Client\anaconda3\Lib\site-packages\pandas_profiling_init_.py:6
1 """Main module of pandas-profiling.
2
3 .. include:: ../../README.md
4 """
----> 6 from pandas_profiling.controller import pandas_decorator
7 from pandas_profiling.profile_report import ProfileReport
8 from pandas_profiling.version import version
File c:\Users\Client\anaconda3\Lib\site-packages\pandas_profiling\controller\pandas_decorator.py:4
1 """This file add the decorator on the DataFrame object."""
2 from pandas import DataFrame
----> 4 from pandas_profiling.profile_report import ProfileReport
7 def profile_report(df: DataFrame, **kwargs) -> ProfileReport:
8 """Profile a DataFrame.
9
10 Args:
(...)
15 A ProfileReport of the DataFrame.
16 """
File c:\Users\Client\anaconda3\Lib\site-packages\pandas_profiling\profile_report.py:11
9 import yaml
10 from tqdm.auto import tqdm
---> 11 from visions import VisionsTypeset
13 from pandas_profiling.config import Config, Settings
14 from pandas_profiling.expectations_report import ExpectationsReport
File c:\Users\Client\anaconda3\Lib\site-packages\visions_init_.py:4
1 """Core functionality"""
3 from visions import types, typesets, utils
----> 4 from visions.backends import *
5 from visions.declarative import create_type
6 from visions.functional import (
7 cast_to_detected,
8 cast_to_inferred,
9 detect_type,
10 infer_type,
11 )
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends_init_.py:9
6 try:
7 import pandas as pd
----> 9 import visions.backends.pandas
10 from visions.backends.pandas.test_utils import pandas_version
12 if pandas_version[0] < 1:
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends\pandas_init_.py:2
1 import visions.backends.pandas.traversal
----> 2 import visions.backends.pandas.types
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends\pandas\types_init_.py:3
1 import visions.backends.pandas.types.boolean
2 import visions.backends.pandas.types.categorical
----> 3 import visions.backends.pandas.types.complex
4 import visions.backends.pandas.types.count
5 import visions.backends.pandas.types.date
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends\pandas\types\complex.py:7
5 from visions.backends.pandas.series_utils import series_not_empty, series_not_sparse
6 from visions.backends.pandas.types.float import string_is_float
----> 7 from visions.backends.shared.parallelization_engines import pandas_apply
8 from visions.types.complex import Complex
9 from visions.types.string import String
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends\shared_init_.py:1
----> 1 from . import nan_handling, parallelization_engines, utilities
File c:\Users\Client\anaconda3\Lib\site-packages\visions\backends\shared\nan_handling.py:34
30 # TODO: There are optimizations here, just have to define precisely the desired missing ruleset in the
31 # generated jit
32 if has_numba:
---> 34 @nb.generated_jit(nopython=True)
35 def is_missing(x):
36 """
37 Return True if the value is missing, False otherwise.
38 """
39 if isinstance(x, nb.types.Float):
AttributeError: module 'numba' has no attribute 'generated_jit'
Expected Behaviour
can't use it
import pandas_profilingData Description
can't use it
import pandas_profilingCode that reproduces the bug
pandas-profiling version
v3.2.0
Dependencies
OS
Windows 11
Checklist
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