Mensagem error

[Dalpi]

Dear all, after update Anaconda the old programs are not running in the new version.
Below are the program and the error mensagem. Somebody could help to identify the problem?

!pip install -q seaborn

from __future__ import absolute_import, division, print_function, unicode_literals

import pathlib

import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

try:

 %tensorflow_version 2.x

except Exception:

pass

import tensorflow as tf

from tensorflow import keras

from tensorflow.keras import layers

print(tf.__version__)

Error:
ImportError                               Traceback (most recent call last)
<ipython-input-7-71150004cc02> in <module>
      4 
      5 import matplotlib.pyplot as plt
----> 6 import pandas as pd
      7 import seaborn as sns
      8 

~\Anaconda3\lib\site-packages\pandas\__init__.py in <module>
     53 import pandas.core.config_init
     54 
---> 55 from pandas.core.api import (
     56     # dtype
     57     Int8Dtype,

~\Anaconda3\lib\site-packages\pandas\core\api.py in <module>
     13 
     14 from pandas.core.algorithms import factorize, unique, value_counts
---> 15 from pandas.core.arrays import Categorical
     16 from pandas.core.arrays.boolean import BooleanDtype
     17 from pandas.core.arrays.integer import (

~\Anaconda3\lib\site-packages\pandas\core\arrays\__init__.py in <module>
      5     try_cast_to_ea,
      6 )
----> 7 from pandas.core.arrays.boolean import BooleanArray
      8 from pandas.core.arrays.categorical import Categorical
      9 from pandas.core.arrays.datetimes import DatetimeArray

~\Anaconda3\lib\site-packages\pandas\core\arrays\boolean.py in <module>
     26 from pandas.core.dtypes.missing import isna, notna
     27 
---> 28 from pandas.core import nanops, ops
     29 from pandas.core.indexers import check_array_indexer
     30 

~\Anaconda3\lib\site-packages\pandas\core\nanops.py in <module>
     33 from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
     34 
---> 35 bn = import_optional_dependency("bottleneck", raise_on_missing=False, on_version="warn")
     36 _BOTTLENECK_INSTALLED = bn is not None
     37 _USE_BOTTLENECK = False

~\Anaconda3\lib\site-packages\pandas\compat\_optional.py in import_optional_dependency(name, extra, raise_on_missing, on_version)
     96     minimum_version = VERSIONS.get(name)
     97     if minimum_version:
---> 98         version = _get_version(module)
     99         if distutils.version.LooseVersion(version) < minimum_version:
    100             assert on_version in {"warn", "raise", "ignore"}

~\Anaconda3\lib\site-packages\pandas\compat\_optional.py in _get_version(module)
     41 
     42     if version is None:
---> 43         raise ImportError(f"Can't determine version for {module.__name__}")
     44     return version
     45 

ImportError: Can't determine version for bottleneck

[buran]

please, fix your post - don't use python tags for each line. post full code in one block, with correct indentation.

[Dalpi]

!pip install -q seaborn

from __future__ import absolute_import, division, print_function, unicode_literals

import pathlib

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

try:
  # Colab only
  %tensorflow_version 2.x
except Exception:
    pass
import tensorflow as tf

from tensorflow import keras
from tensorflow.keras import layers
print(tf.__version__)

[buran]

if you google the error it looks like uninstall/install bottleneck solved it. or conda update --all
https://github.com/pandas-dev/pandas/issues/29181
https://groups.google.com/a/continuum.io...ymOuv9QC3E
https://github.com/pandas-dev/pandas/issues/29714

[Dalpi]

Thanks for your support.