I have installed anaconda. I can import panda, matplotlib but cannot import sklearn. I have installed sklearn and it also shows that it is installed,but cannot import it in jupyter. here is what it says
Try installing with the --upgrade flag.
-U, --upgrade Upgrade all specified packages to the newest available version. The handling of
dependencies depends on the upgrade-strategy used.
Use this:
!pip install -U scikit-learn
Related
I wanted to install imbalanced-learn using pip install imbalanced-learn. Then I have tried import
from imblearn.ensemble import EasyEnsembleClassifier
This import gave me the following error. I did try with uninstall imbalanced-learn and re-install imbalanced-learn, but it didn't help.
ImportError: cannot import name '_joblib_parallel_args' from 'sklearn.utils.fixes' (C:\Users\Jishan\anaconda3\envs\summerprojects\lib\site-packages\sklearn\utils\fixes.py)
I also tried
pip: pip install -U imbalanced-learn
anaconda: conda install -c glemaitre imbalanced-learn
They were not helpful as well. I was using Anaconda virtual environment. I appreciate your suggestions. Thanks!
you can try this :
conda install -c conda-forge imbalanced-learn to update documentation
sudo pip3 install imblearn to install imblearn
on command prompt : pip3 install imblearn
on anaconda !pip3 install imblearn
After installing pypfopt and u-numpy, dataframe.info() command shows this error.
TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
I happened to mix my versions and I encountered the problem today. I managed to fix it.
Both codes in jupyter gave me an error: TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
df.info()
df.categorical_column_name.value_counts().plot.bar()
I got the error: TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
This is how i fixed it
Inside jupyter:
Check numpy version:
import numpy as np
print(np.__version__)
To upgrade:
!pip3 install numpy --upgrade
Inside Command line check numpy version:
python
import numpy
print(numpy.__version__)
if versions are not the same choose whether to upgrade/downgrade:
To upgrade:
$pip install numpy --upgrade
To downgrade just specify the version
If you have python environment installed:
Go to the right folder:
Check the installed version:
$pipenv --version
To verify if you have a pip environment installed for that folder:
On your terminal Go to the folder and type:
$pipenv --version
If there is a pipenv it will show the version and if there is none it won't.
check numpy version
$python
>>> import numpy
#prints the version
>>> print(numpy__version__)
To upgrade the version:
>>>exit()
#To install the latest version don't specify the version
$pipenv install numpy
#if you want to downgrade specify the version
$pipenv install numpy=version_type
Do the same for pandas. Note that with pandas if your pandas environment is 1.2.3 on the jupyter notebook upgrade with !pip install pandas==1.2.3 or just !pip install pandas --upgrade --user.
Note that if the commands are giving you an error always include --user at the end of the command.
To create a new environment using miniconda and install updated packages follow the link [https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html][1]
Run the following commands from a terminal window:
conda create -n name_of_my_env python
This will create a minimal environment with only Python installed in it. To put your self inside this environment run:
source activate name_of_my_env
On Windows the command is:
2. activate name_of_my_env
The final step required is to install pandas. This can be done with the following command:
conda install pandas
To install a specific pandas version:
conda install pandas=0.20.3
I prefer using the latest version of pandas 1.2.3
However the first method should solve your problem. Always restart your notebook by closing and reopening it.
I will stick around to see if you are winning. But this will resolve your problem. The problem is caused by the versions of numpy and pandas
[1]: https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html
I fixed this type error downgrading numpy version to 1.16.5.
Try it!
Use code below in your jupyter notebook to downgrade your numpy:
!pip install numpy==1.16.5
My pandas version: 0.24.2
Here's a link to the numpy issue associated with this error: https://github.com/numpy/numpy/issues/18355. A succinct fix is given there (in https://github.com/numpy/numpy/issues/18355#issuecomment-1029684903):
pip install --upgrade numpy
pip install --upgrade pandas
downgrading to numpy==1.19.5 works
Use below command to downgrade in anaconda prompt:
python -m pip install numpy==1.19.5
The issue is because of the non-compatibility of NumPy and pandas versions. I couldn't downgrade my NumPy for some odd reasons as others suggested from Anaconda. But found this link helpful
Downgrading pandas
to 1.3 and with the existing NumPy version set at 1.20.1, helped me to overcome this issue.
Just go to the terminal provided in Jupyter Notebook by clicking "New" and then "Terminal" inside "New" and type:
pip install pandas --upgrade
this will fix the error
as it worked for me.
I fixed it by updating all packages in my Anaconda Navigator Environments
In my case, restarting the kernel fixed the error. Hope it saves someone time as I was reading pandas source code to figure out what the hell was happening :))
U might have the latest version of NumPy which may not be compatible, so downgrade your NumPy version. I have downgraded to 1.17.2
Please help me for making a good solutions of my problems. I don't work for these issue.
Below the code:
from sklearn import datasets
Below the error:
ModuleNotFoundError: No module named 'sklearn'
You may also try to install: scikit-learn
pip install scikit-learn
or via Conda:
conda install scikit-learn
you basically not installed sklearn library.. so first install sklearn with below command.
pip install sklearn
and then run the code it will resolve your issue.
If PIP is already installed on you PC, its just a matter of running a single command pip install sklearn and it will install the sklearn module easily. You can refer to https://scikit-learn.org/stable/install.html.
else you will need to install pip. Refer https://phoenixnap.com/kb/install-pip-windows for PIP installation.
from albumentations.pytorch.transforms import ToTensorV2
I used the above code, and it doesn't work.
Just add a code block with the line
! pip install albumentations==0.4.6
above the block where you do the import. I tried installing it without the specific version and it failed.
When i did not specify the version number in pip install, version 0.1.12 was installed which does not contain ToTensorV2.
Ensure that you have the latest version
!pip install --upgrade --force-reinstall --no-deps albumentations
Get albumentations from Github.
Usage on Colab Example
!pip install -U git+https://github.com/albu/albumentations > /dev/null
I'm importing the sklean.impute.SimpleImputer using
from sklearn.impute import SimpleImputer
But got an error
error: No module named 'sklearn.impute'.
Installed sklearn 0.19.1 using command !pip install sklearn. How to see if it's the development version? Also, where can I access the logs?
EDIT: The pip version of scikit-learn is now 0.20+.
The impute submodule is part of scikit-learn version 0.20. It is not on pypi yet, so if you have to use that function, install the dev version of scikit-learn by pip install git+https://github.com/scikit-learn/scikit-learn.git