I have sklearn installed but still I have error:
ModuleNotFoundError: No module named 'sklearn.experimental'
when trying to run Jupyter notebook from Imputing missing values before building an estimator.
I'm using pip for installation without any virtual environment.
Just realized my pip version of sklearn is 20.03 while latest is scikit-learn v0.21.3
I've upgraded sklearn with (in CMD):
python -m pip install scikit-learn --user --upgrade pip
I've had permission error using standard upgrade command.
I had to restart Jupyter notebook kernel with clear output, run cells again, run again (in first cell in Jupyter Notebook):
%matplotlib inline
and than it was working.
I am trying to learn pandas and want to load some stocks data. I was following a course which advised me to load pandas.io.data, but this did not work as io.data was depreciated. So I decided to use pandas-datareader instead. But I am struggling to instal it on mac in Anaconda (Jupiter notebook).
First time I run import pandas_datareader as pdweb I got ModuleNotFoundError: No module named 'pandas_datareader'. Not surprising as I never used this before so I run pip3 install pandas_datareader in Terminal which successfully installed itself. However, Jupiter notebook is still giving me the same error. At this point, I tried running in Terminal conda install -c https://conda.anaconda.org/anaconda pandas-datareader but it did not work as -bash: conda: command not found.
Please help. I am looking for a detailed explanation as I am not too techie.
What I run in Jupiter
import numpy as np
from pandas import Series, DataFrame
import pandas as pd
import pandas_datareader as pdweb
import datetime
Result
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-6-da568f513c93> in <module>
2 from pandas import Series, DataFrame
3 import pandas as pd
----> 4 import pandas_datareader as pdweb
5 import datetime
ModuleNotFoundError: No module named 'pandas_datareader'
Just run
conda install -c anaconda pandas-datareader
as per instructions here.
In my experience, if you're using conda, you should never install with pip unless you're sure conda doesn't have it. Try searching anaconda.org to see which -c source to use.
The problem was with conda command not being set up during the installation of Anaconda. I solved this by removing Anaconda with App Cleaner & Uninstaller Pro (free soft) and reinstalling later version.
After reinstallation of Anaconda command below worked like a charm.
conda install -c anaconda pandas-datareader
If you using Anaconda and still have issues installing panads-datareader using the conda command 'conda install -c anaconda pandas-datareader'. or the installation is successful but the import pandas_datareader.data as web still gives an error.
Locate where your 'site-packages % ' directory and cd to the site-packages % dir and then run the installation command 'conda install -c anaconda pandas-datareader '. It will work.
For the install, try using
pip
instead of
pip3
I have tried all the methods available to install keras but of no use. when I install it using anaconda prompt it, it installs along Thano. But eveytime I import in jupyter file, jupyter can not find it and gives this error above:
ModuleNotFoundError: No module named 'keras'
So basically, I am fairly new to programming and using python. I am trying to build an ANN model for which I have to use Tensor flow, Theano and Keras library. I have Anaconda 4.4.1 with Python 3.5.2 on Windows 10 x64 and I have installed these libraries by following method.
Create a new environment with Anaconda and Python 3.5:
conda create -n tensorflow python=3.5 anaconda
Activate the environment:
activate tensorflow
After this you can install Theano, TensorFlow and Keras:
conda install theano,
conda install mingw libpython,
pip install tensorflow,
pip install keras,
Update the packages:
conda update --all
All these packages are installed correctly and I have check them with conda list.
However, when I am trying to import any of these 3 libraries (i.e. Tensor flow, Theano and Keras), it is giving me the following error:
Traceback (most recent call last):
File "<ipython-input-3-c74e2bd4ca71>", line 1, in <module>
import keras
ImportError: No module named 'keras'
Hi I have an solution try this if you are using Anaconda-Navigator
go to Anaconda Environment and search keras package and then install.
after install just type import keras in shell its working.
Have you tried using keras documentation
Install Keras from PyPI (recommended):
Note: These installation steps assume that you are on a Linux or Mac environment. If you are on Windows, you will need to remove sudo to run the commands below.
sudo pip install keras
If you are using a virtualenv, you may want to avoid using sudo:
pip install keras
from: https://keras.io/
Now you need to have Tensorflow installed and then write, for example:
import tensorflow as tf
...
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(12, input_dim=8, activation='relu'))
model.add(tf.keras.layers.Dense(8, activation='relu'))
model.add(tf.keras.layers.Dense(1, activation='sigmoid'))
...
Works for Tensorflow version: 2.4.1.
Or just type:
import tensorflow as tf
from tensorflow import keras
...
Try
import sys
print(sys.path)
and see if your anaconda site-packages folder is in the list.
It should be something like WHERE_YOU_INSTALLED_ANACONDA\anaconda3\envs\ENVIRONMENT_NAME\lib\python3.5\site-packages
If the path setting is correct, then try listing the folder content, and see if Keras, TensorFlow and Theano are in this folder.
I ran into a very similar issue after switching computers and downloading the latest Anaconda, which comes with python 3.6. It was no problem to install python 3.5 in its own environment, and install keras to this environment, but import keraskept failing.
My inelegant solution (assuming you've already got tensorflow/theano/cntk working fine in your global environment)?
Move the keras folder installed to Anaconda3/envs//Lib/site-packages/keras to Anaconda3/Lib/site-packages/keras. Now import keras gives a depreciation warning when run from a jupyter notebook launched via start menu, but it does work, and correctly returns the backend keras is running on.
I spent the whole day to install Keras, tried all the available methods online, almost dying. But I still cannot import keras.
(1). After using conda install or pip install, and delete the "1 > null > 2&1" ... I activated in conda prompt by activating tensorflow_cpu, it doesn't work anyway.
(2). Then checked the keras, and print os.path(), no virtual environment inside. I got so braindead, just copied all the keras data file from virtual environment env, and put into the "C:\Users\Administrator\Anaconda3\Lib\site-packages".
(3). Now, tensorflow and keras work well.
Click Update Index and then try searching for Keras again.
I have the same problem with:
conda 4.13.0
tensorflow 2.6.0
Note: We should not have to install Keras separately, as it ships with Tensorflow, starting with Tensorflow 2.0.
Symptoms:
Keras import (from tensorflow import keras) does not return an error, BUT any further reference to Keras does throw "ModuleNotFoundError", e.g. the following statements fail:
print(keras.__version__)
from keras import Sequential
I still don't have a direct solution for this, this is more of a workaround, but here it is:
Import ANY class from Keras JUST ONCE using full top-down import syntax AND instantiate it
Import Keras (now "for real")
E.g.:
from tensorflow.keras.layers import Dense
layer = Dense(10)
from tensorflow import keras
Now the following statements should work:
print(keras.__version__)
model = keras.models.Sequential()
This looks like some sort of lazy module loading gone wrong.
A direct and simple way to fix it is as below,
#uninstall keras and tensorflow
pip uninstall keras
pip uninstall tensorflow
#Now install keras and tensorflow for required version with dependencies.
pip install keras==2.2.4
pip install tensorflow==1.13.1
Always make sure that you install right version of tensorflow which supports that keras version as well, else you may end up in trouble again. By the way , the above fix worked for me.
I solved this problem by running one of the following in the terminal according to anaconda website.
To install this package (keras) with conda run one of the following:
conda install -c conda-forge keras conda install -c
conda-forge/label/broken keras conda install -c
conda-forge/label/cf201901 keras conda install -c
conda-forge/label/cf202003 keras
If you never use conda before you can check anaconda.
A direct and simple way to fix it is as below, #uninstall keras and tensorflow
py -3 -m pip uninstall keras
py -3 -m pip uninstall tensorflow
#Now install keras and tensorflow for required version with dependencies.
py -3 -m pip install keras
py -3 -m pip install tensorflow
the above fix worked for me.
If you are sure that you ran pip install keras at the command line, ensure that you use the small letter 'k' instead of the Capital Alphabet. I had a similar error message.
These are some simple steps to install 'keras' simply using the Anaconda Navigator:
Launch Anaconda Navigator. Go to the Environments tab.
Select ‘Not installed’, and type in ‘tensorflow’.
Then, tick ‘tensorflow’ and do the same for ‘keras’.
Click on ‘Apply’. The pop-up window will appear, go ahead and apply.
This may take several minutes.
Done.
This tutorial will guide you more graphically: https://www.freecodecamp.org/news/install-tensorflow-and-keras-using-anaconda-navigator-without-command-line/
Remember to launch spyder in the environment or activate it in line command (conda activate [my_env]. afater that, execute your script python.
Try to import keras library from its reference parent which means import tensorflow.keras
I'm trying to use scipy in a jupyter notebook and it says I have it installed, but when I try to import it, it gives me the following error.
Any help would be great. thank you.
TLDR: try this
import sys
!{sys.executable} -m pip install scipy
A bit more info:
Jupyter notebooks are able to work with multiple kernels, which are essentially pointers to the Python (or other language) executable that the notebook uses. In a Python kernel, you can figure out which one is being used by typing
import sys
print(sys.executable)
When you run a bash command in the notebook, like !pip install scipy, that uses the bash environment that was active when you launched the notebook which is not necessarily associated with the Python kernel you are using. That means that it may be installing scipy in a different Python location. You can figure out which Python your shell points to by running !which python. If this doesn't match, then !pip install will not be installing in the right place.
You can fix this by explicitly telling the bash prompt which Python/pip you want to use. For example, this should do the trick:
import sys
!{sys.executable} -m pip install scipy
This runs the pip version associated with your executable, and installs scipy with that. For some more details on what's happening behind the scenes, check out this answer.
The pip that you execute is using a shell that may (and that is probably the case here) have a different python interpreter than the one of the jupyter notebook!
Jake VanderPlas to the rescue https://twitter.com/jakevdp/status/841791667472543745
Do the following in the notebook
import sys
sys.executable
Depending on the output of "sys.executable", adjust your command-line call, still in the notebook
!/usr/bin/python3 -m pip install scipy
But as you have scipy installed, the issue is to understand why your anaconda scipy is not found. Do you have a default virtualenv for all your python use? How do you start the notebook?