!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

!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__)