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 !!
Related
My pip has worked fine with my python 3 in the past and I have downloaded things such as pandas which all work fine in python. The problem I now encounter is any library I attempt to download using pip is not recognised by python. Here is how I have tried downloading skl.
pip install sklearn
pip3 install sklearn
When I input
pip list
or
pip3 list
Both list sklearn as being downloaded, however, when I go in python and input:
from sklearn import linear_model
I get the error
Traceback (most recent call last):
File "/Users/nicross/Desktop/RainDance/RainFaller.py",line 8, in <module>
from sklearn import linear_model
ModuleNotFoundError: No module named 'sklearn'
Any help solving this would be greatly appreciated.
python3 -m pip install sklearn
From the sklearn docs it looks like you might want to try:
pip install -U scikit-learn
(For more, try following the steps here: https://scikit-learn.org/stable/install.html and see if those fix it)
I'm using a Mac. I have Anaconda installed. When I type import numpy or import matplotlib I don't run into any issues. The only issue I'm having is with sklearn.
I'm fairly new to CS/ DS. Any help/ tips is greatly appreciated.
I've tried uninstalling sklearn and reinstalling. I've pretty much tried every solution on StackOverflow. The only thing I haven't tried is reinstalling anaconda.
import sklearn
Traceback (most recent call last):
File "", line 1, in
import sklearn
ModuleNotFoundError: No module named 'sklearn'
I expect to get no result just like with matplotlib and numpy which means everything works, but in lieu of that I get that output.
Do you have sklearn installed? It should be in some requirement, but it seems that someone needs it as a dependency and does not find it.
pip freeze | grep sklearn
It will tell you if you have it installed.
Do you work in a virtualenv?
If you do not have it installed try to do it and if not, pass the traceback.
if you work on mac you can also try updating xcode and updating yourself pip
xcode-select --install
pip install --upgrade pip
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 not able to import pandas
C:\Users\Yash\Desktop\Python\Twitter Sentimental Analysis>python import.py
Traceback (most recent call last):
File "C:\Users\Yash\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\__init__.py", line 26, in <module>
from pandas._libs import (hashtable as _hashtable,
File "C:\Users\Yash\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\_libs\__init__.py", line 4, in <module>
from .tslib import iNaT, NaT, Timestamp, Timedelta, OutOfBoundsDatetime
ModuleNotFoundError: No module named 'pandas._libs.tslib'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "import.py", line 4, in <module>
import pandas as pd
File "C:\Users\Yash\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\__init__.py", line 35, in <module>
"the C extensions first.".format(module))
ImportError: C extension: No module named 'pandas._libs.tslib' not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace --force' to build the C extensions first.
I tried screwing around but this error stayed the same.
I have updated the modules already along with pip and python!
This is the full traceback of the command.
I am currently using python 3.6.6 (downloaded from the official site)
pip version : 18.1 running on windows 10 laptop!!
I faced a similar issue and solved it by manually uninstalling pandas and then installing pandas using pip. You have mentioned that you have only updated pandas. So I assume you haven't tried re-installing it.
While doing so pandas version in my environment changed from 0.23.4 to 0.24.1
My Environment :
python 3.6.7
pip 18.1
Note : I am also a beginner in Python usage. More experienced users may know a better way.
pip uninstall pandas
pip install pandas
The above steps solved my issues and I am able to import pandas.
I checked the release notes in pandas community and it seems like the dependency on tslib has been removed.
Check section 1.5 in the below link and search for tslib.
http://pandas.pydata.org/pandas-docs/version/0.24/pandas.pdf
I faced the same error and resolved it by calling the following commands:
pip uninstall pandas
pip install pandas
pip3 install --upgrade pandas
I was facing the same error. I tried the above solutions didn't work out. Here what worked for me.
If you have two different python env and trying to run files from different env then first you have to uninstall pandas from both env and install them in the new env.
For example, I have installed python3.6 and python3.9, so first I uninstalled pandas from 3.6
sudo pip3.6 uninstall pandas
I repeated this command serval times until all versions of pandas have uninstalled. after that, I install the pandas in 3.9 using this command
/usr/bin/python3.9 -m pip install pandas
I've been trying to import sklearn but it says that the module is not found.
my python, numpy, scipy and scikit versions are as follows as show in the conda list:
numpy 1.14.3 py36h9fa60d3_1
python 3.6.5 h0c2934d_0
scipy 1.1.0 py36h672f292_0
scikit-learn 0.19.1 py36h53aea1b_0
the error while trying to import sklearn is:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-2-f2461ba6e1e9> in <module>()
----> 1 from sklearn.family import model
ModuleNotFoundError: No module named 'sklearn.family'
I tried using
conda update scikit-learn
conda install scikit-learn
but I get the following results
All requested packages already installed.
how do I import sklearn then?
Although there is not skleran module, from sklearn import ... works well in PyCharm:
from sklearn.utils import resample
Try doing
conda install -c anaconda pip
pip install sklearn
AFAIK, there's no sklearn.family module. Have you tried importing other modules?
Say,
from sklearn.model_selection import TimeSeriesSplit
Does that work for you?