I am new to Python and I am trying to run a linear regression Python code, which I have downloaded.
My problem starts here
import pandas as pd
When I run the code, it tells me
Traceback (most recent call last):
File "E:\MACHINE LEARNING\linear regression tutorial\free_python_tips-main\free_python_tips-main\04_linear_regression\04_linear_regression.py", line 9, in <module>
import pandas as pd
ModuleNotFoundError: No module named 'pandas'
although this package is installed, in Anaconda as well.
How could I solve this?
go to your command prompt and type
pip install pandas
or if you are using anaconda then type
conda install pandas
you can refer these links for more details:
package installation with anaconda and
pandas documentation
and if you wanted to use Linear Regression then you need to install scikit learn
for pip
pip install -U scikit-learn
for anaconda
conda install -c conda-forge scikit-learn
then you need to import it in your code
from sklearn.linear_model import LinearRegression
Hope it solves your issue !!
I installed anaconda3 and python 3.9
Looks like anaconda3 is running with python 3.8.
When i installed first my jupyter on anaconda3 was working, but i did some changes in path/pythonpath and after that i am getting error on jupyter but it works fine on visual studio.
So far i have tried
Installing and uninstalling anaconda3 and python 3.9
Installing and uninstalling pandas and numpy
Below is output from jupyter for path and python path
import os
print("PYTHONPATH:", os.environ.get('PYTHONPATH'))
print("PATH:", os.environ.get('PATH'))
*******************************************************************
PYTHONPATH: C:\Users\sachi\anaconda3\python.exe
PATH: C:\Users\sachi\anaconda3;C:\Users\sachi\anaconda3\Library\mingw-w64\bin;C:\Users\sachi\anaconda3\Library\usr\bin;C:\Users\sachi\anaconda3\Library\bin;C:\Users\sachi\anaconda3\Scripts;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\WINDOWS\System32\OpenSSH\;c:\users\sachi\appdata\local\programs\python\python39\lib\site-packages;C:\Python38\python.exe;C:\Users\sachi\AppData\Local\Programs\Python\Python39\Scripts\;C:\Users\sachi\AppData\Local\Programs\Python\Python39\;C:\Users\sachi\AppData\Local\Microsoft\WindowsApps;C:\Users\sachi\AppData\Local\Programs\Microsoft VS Code\bin;c:\Python39;
*******************************************************************
Below is the error I get when I import pandas as pd in jupyter
ImportError Traceback (most recent call last)
<ipython-input-4-7dd3504c366f> in <module>
----> 1 import pandas as pd
~\pandas\__init__.py in <module>
14
15 if missing_dependencies:
---> 16 raise ImportError(
17 "Unable to import required dependencies:\n" + "\n".join(missing_dependencies)
18 )
ImportError: Unable to import required dependencies:
numpy:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.
We have compiled some common reasons and troubleshooting tips at:
https://numpy.org/devdocs/user/troubleshooting-importerror.html
Please note and check the following:
* The Python version is: Python3.8 from "C:\Users\sachi\anaconda3\python.exe"
* The NumPy version is: "1.20.3"
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.
Original error was: No module named 'numpy.core._multiarray_umath'
You can enter pip uninstall pandas first, Then enter pip uninstall numpy. These two step is to uninstall two modular. Ater that，you can enter pip install pandas and pip install numpy to reload two modular. That's how I solved the problem I just met
I have created a virtual environment with following syntax in the windows terminal:
conda create --prefix ./modinenv python=3.6 numpy
conda activate e:\modin\modinenv
pip install modin[dask]
jupyter notebook
In a new python file, when i executed this following command:
import modin.pandas as pd
it gives me an error: modulenotfounderror no module named 'modin'
I searched many forum, but got no workable response to this.
I even tried following before import statement:
import os
os.environ["MODIN_ENGINE"] = "dask" # Modin will use Dask
import modin.pandas as pd
This also does not work here. So any help in this regard is appreciated.
Thanks
Gopinath
I have exactly the same environment setting as you.
import os
import modin.pandas as pd
os.environ["MODIN_ENGINE"] = "dask"
Try following:
It seems that your Modin may not install properly, so please try pip install -U modin according to Modin documentation
pip3 install 'modin[dask]'
I just want to do a linear regression with scikit-learn. When I try to import the linear model package the error message from the title appears.
I tried to follow the solution from a similar problem (link). The suggestion is basically to just get rid of the part of the code where it requests for the "MultipleOutputMixin" thingy.
When I do this, of course the MultiOuputMixin is no longer the problem, but it derives in an error at the line marked as 22 in the error message shown below.
Any ideas on what can I do to avoid the problem?
Thanks in advance for your help! :)
Python version = 3.70
scikit-learn verion = 0.21.2
This is what I'm doing:
from sklearn import linear_model
This is the error that I get:
ImportError Traceback (most recent call last)
<ipython-input-46-1c4d4ebecc3f> in <module>()
1 # Select a linear
----> 2 from sklearn import linear_model
C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\linear_model\__init__.py in <module>()
13
14 from .bayes import BayesianRidge, ARDRegression
---> 15 from .least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
16 LassoLarsCV, LassoLarsIC)
17 from .coordinate_descent import (Lasso, ElasticNet, LassoCV, ElasticNetCV,
C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\linear_model\least_angle.py in <module>()
18
19 from .base import LinearModel
---> 20 from ..base import RegressorMixin, MultiOutputMixin
21 from ..utils import arrayfuncs, as_float_array, check_X_y
22 from ..model_selection import check_cv
ImportError: cannot import name 'MultiOutputMixin' from 'sklearn.base' (C:\Users\Usuario\Anaconda3\lib\site-packages\sklearn\base.py)
I have encountered a similar problem. I could solve by opening a new IPython console.
I don't think so it's a good idea to modify library related files without understanding it fully. I got this issue when I had updated scikit learn package. It worked after I launched a new shell.
!pip install scikit-learn==0.18.2 is the wrong advice.
You'll need scikit-learn version 0.22 or higher.
This was solved after shutting down the existing notebook and reopening it from home page. It may need a restart is what I got to know.
uninstall and install the imblearn again :
pip install imblearn
with the updated sklearn packages this worked for me.
From installation anacoda prompt:
Installing collected packages: imblearn, scikit-learn
Attempting uninstall: scikit-learn
Found existing installation: scikit-learn 0.20.3
Uninstalling scikit-learn-0.20.3:
Successfully uninstalled scikit-learn-0.20.3
Successfully installed imblearn-0.0 scikit-learn-0.23.1
Problem reasons
This issue occurs when you tried to install a new version of scikit-learn, I encountered the same issue while trying to install sklearn (1.0) while an old scikit-learn version (0.22.2) was installed.
I encountered this problem, because I had to update the version of sciki-learn on Colab and retrain my model to avoid some warnings with the production environment. The problem was as shown below:
UserWarning: Trying to unpickle estimator TfidfVectorizer from version 0.22.2.post1 when using version 1.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:
So, when I did this:
!pip install scikit-learn==1.0
I got the error below while importing the following libraries:
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn import metrics
This is the rrror:
ImportError: cannot import name '_OneToOneFeatureMixin' from 'sklearn.base' (/usr/local/lib/python3.7/dist-packages/sklearn/base.py)
How to fix it
This problem can be fixed by simply trying to restart the runtime environment, or open a new notebook (runtime env restart by default as mentioned by AnandOCF)
This worked for me.
Activate your conda env
conda activate 'your_env_name'
Install imblearn library using pip if you haven't
pip install imblearn
Again install imbalanced-learn library using conda
conda install -c conda-forge imbalanced-learn
Then, you should be able to import without any errors.
You can run the following command on your notebook to solve the issue:
!pip install scikit-learn==0.18.2
I am trying MNIST dataset, however, the code
import time
import mdp
import mnistdigits
results in the following error:
ModuleNotFoundError: No module named 'mnistdigits'
Where I can install this module using pip?
python-mnist 0.3 showed up when I googled "install mnist using pip"
pip install python-mnist