I am using Jupyter Notebook to help debug some issues I'm having moving between JSON and pandas. The specific application isn't important.
The important part is that I needed to use pandas.json_normalize() which apparently first showed up in pandas version 1.0.3. I was confused when Jupyter said it doesn't exist. I did a version check and got:
In[]: pd.__version
Out[]: 0.25.2
This is not the version of python installed in either my base environment or the conda environment that Jupyter Notebook is running in or that the app is running in. Version checks in both environments in Anaconda Prompt (outside of Jupyter Notebook) confirm this.
What is going on here? Looking around I haven't seen a good answer, but it does appear that other people have had the same issue --- Jupyter defaulting to pandas 0.25.2 for some reason.
It seems that your Notebook is using a different kernel/environment than what you want.
run this in the notebook to see which environment you are using
! which python
or try
import sys
print(sys.executable)
which would show you which environment it's using, if you have env named venv then you will get something like.
/home/your_home_directory/anaconda3/envs/venv/bin/python
If you don't care about all of that and you just want to update the pandas that it's using then copy that path and do this.
! pip install --upgrade pandas
Note that this will also depend on which version of python you are using
Related
I am trying to do an END-to-END project for BostonHousing on VS Code. I have installed the requirements already from requirements.txt and also chose the Python interpreter as that of my virtual environment version still the error pops like below for Jupyter notebook. The flask file is fine. Please guide me on what's wrong here.
enter link description here
you may got your answer here.check and read carefully.
Import "[module]" could not be resolvedPylance (reportMissingImports)
I followed the instructions on the official website to download the TensorFlow. I chose to create a virtual environment as the instruction shown for macOS. My question is that if I need to activate the virtual environment each time before I use TensorFlow?
For example, I want to use tensor flow on Jupiter notebook and that means I need to install Jupiter and other required packages like Seaborn/pandas as well on the virtual environment. However I already downloaded anaconda and basically, it has all the packages I need.
Besides, will it make a difference if I download it with conda?
Well, if you downloaded the packages (like you said TensorFlow and Seaborn) in the base Conda environment which is the default environment that anaconda provides on installation, then to use what it has, you need to run whatever program/IDE like Jupyter lab from it. So you would open Anaconda Prompt and then type in jupyter lab and it would open up a new socket and you can edit with your installed python libraries from Conda.
Otherwise in IDE's VSCode you can simply set the python interpreter to that from Conda.
However, if you install the libraries and packages you need using pip on your actual python installation not Conda, then there is no need for any activation. Everything will run right out of the box. You don't need to select the interpreter in IDE's like VSCode.
Bottom line, if you know what libraries you need and don't mind running pip install package-name every time you need a package, stick with pip.
If you don't like to that sort of 'low level' stuff then use Anaconda or Miniconda.
If I download Tensorflow package for windows x64 externally without using pip installer on JUPYTER NOTEBOOK,
then HOW should I install it on JUPYTER NOTEBOOK ????
Please help..
if it lies in your base environment then it would work in jupyter notebook. otherwise you could try it to put in any specific environment and after activating it will work
I think this question has been asked before on the internet, but the proposed solutions have so far not worked.
I am trying to run a script that imports numpy and pandas. When I run using the Python Console in my IDE (PyCharm), everything works fine. However, when I run the script from the command line, the following error is displayed:
DLL load failed: The specified module could not be found.
and
Unable to import required dependencies
I am using Anaconda Navigator. There my Pandas and Numpy are listed. I tried to uninstall them via the conda shell (conda uninstall numpy, conda uninstall pandas) and then install them again, but without result.
Hope anyone can help.
If you haven't already call this (no quotes)
conda activate "name of environment that has your modules installed"
After trial and error, I de-installed Anaconda and installed pip instead. Then I installed the modules using pip, and it worked like a charm.
(Not the most elegant answer since it does not explain why things went wrong in the first place, but it offered a workable solution at least.)
To start out I had a anaconda installation with python 3.5.2. After doing a pip tensorflow installation I got an error something like "nosetest...". I searched stackoverflow and got a suggestion to move to python 3.6.
So I uninstalled the whole of anaconda and python. Then did complete fresh install of anaconda with python 3.6.10. Did a pip install of tensforflow. launched spyder and jupyter and could not import tensorflow. However, when I issue commands from python command prompt things work fine.
So can't seem to get tensorflow to import in spypder or jupyter.
Lastly following another suggest I ran the c:/from/my/anaconda/Scripts/activate base. But that also didn't work in spyder. However in jupyter it seemed to import but then crashed on tf.version
with access violation.
Can you please help, I've tried many things and suggestions, can't seem to get tensorflow to work with python 3.5 or 3.6.
Thanks.
P.S. I remember using python3.5.2 sometime ago with the then tensorflow, I think version 1.1x and everything went smoothly, everything installed and imported worked beautifully.