Develop Reference

Problems with importing netcdf4 and xarray when debugging - in eclipse + pydev on windows

I have been a staunch user of Eclipse on Windows - mostly for developing Python code. Lately, I needed to do something with the packages xarray and netcdf4. I first used an old version of Eclipse, but when I encountered problems I installed the latest LiClipse - version 8.2.0 (64 bits) on my Windows 10 machine. I use Miniconda 3 py37_4.9.2 (64 bits) with Anaconda Navigator 2.1.2 to manage my Python environments. I wrote a script of only a few lines. When I tried to import package netcdf4, I got an import error immediately that one of the netcdf4 DLLs could not be found after pressing the debug button. When I tried working without direct involvement of netcdf4 but only with xarray, I also got an import error that my packages were not configured correctly. When I started the script - outside Eclipse - from the command-line, there was no problem at all. BTW, I tried running with different Python versions: 3.6, 3.8 and 3.9 but that made no difference. I suspect that Pydev does not work together well with the packages netcdf4 and xarray. Has anybody else experienced similar problems?

It seems like some environment variable isn't properly set when running from PyDev...
Do you have the flag to load conda environment variables set in the interpreter configuration?
i.e.:
Note: if it runs in the command line you can compare the values you have in os.environ from one to the other to find what may be different (in general just making sure that the conda environment variables are loaded should do the trick, but if it doesn't comparing those and setting what's needed in the Environment tab may help).

Python pyfuglet modules installation

there is some modules that when im trying to install from pypI, like pyfiglet or Django framework, i'll saw some errors. how can i fix it? my python versio is 3.9.4

For installing and checking the python module "pyfiglet" in VS Code, please refer to the following:
Please make sure that python is available, and select the required python environment in the lower left corner of VS Code.
Please use the shortcut key Ctrl+Shift+` to open a new VS Code terminal, and check whether the python used by the terminal is the same as the lower left corner of VS Code: ( python --version )
Then install the module "pyfiglet": (pip install pyfiglet)
Check the installation of this module: (pip show pyfiglet)
Run:
Reference: Getting Started with Python in VS Code and Python environments in VS Code.

How do I import Pandas library into PyCharm?

I have downloaded Pandas library with pip install pandas through the command prompt, when I try to import pandas as pd PyCharm returns an error : ModuleNotFoundError: No module named 'pandas'
I have tried to uninstall and install again many times but nothing seems to work. Does anybody know a solution to this?

You can try downloading the library from PyCharm settings:
File -> Settings
then, Project: -> Python Interpreter
Click a + sign to the right,
Search for the pandas library,
and finally, press 'Install Package'

I think you have to choose the right python interpreter. Check my screenshot

You likely have multiple copies of Python installed on your system. PyCharm can be configured to use any version of Python on your system, including any virtual environments you've defined. The solution is to match up the version of Python you've installed Pandas into with the version of Python that PyCharm is using to run your code.
There are two places where you specify a Python version. First of all, your Project has a version associated with it. Check the "Python Interpreter" section of the "Project" section of your Preferences for that. That version is used for syntax highlighting, code completion, etc.
By default, the abovementioned Python version will also be used to run your code. But you can change the version of Python that your code is run with by creating or modifying a Run Configuration. To do this, check the menu next to the Run and Debug toolbar buttons near the top-left of your PyCharm window.
When you do get into the Python Interpreter section of the Preferences, you'll find that you can see all of the modules installed for each Python version that PyCharm knows about. You can use this to check to see if Pandas is installed for a particular Python version.
I would suggest you get comfortable with all that I've said above. It will save you many headaches in the future.

VSCode issue with Python versions and environments from Jupyter Notebooks

Issue: I am having issues with the environment and version of Python not matching the settings in VSCode, and causing issues with the packages I am trying to use in Jupyter notebooks. I am using a Windows 10 machine with Python 3.9.1 installed (including older versions), with Visual Studio Code 1.52.1 . Short summary - I install a package using pip. My guess is that it associates with the latest version of Python. I set up an interpreter in VS Code for that version of python, and try to import the package. The package is not found. If I call sys.version from the Jupyter notebook, I see that a default version of Python is running (3.8.5). The simple notebook throws an error because it cannot find that package that I installed with pip.
Screenshot that shows the associations:
This error is reproducible with only the
import pygmt
command in the notebook, i.e. it does not depend on the other packages imported.
Question: How can I control the version that Jupyter notebooks will run in VSCode if changing the interpreter doesn't work? Every other issue like this that I have found was due to not choosing the correct interpreter. In this case, I have. Why is it not running that version of the interpreter?
Thank you.
Edit
This edit is in response to #Jill Cheng's answer (see my comment below for tl;dr). I can change the interpreter (lower left corner of VSCode) to match the default that VSCode wants to run. No problem.
But there still are problems.
I cannot install pygmt, the targeted package, into this version of Python (see the command in in the terminal).
I cannot make VSCode operate in the opposite direction - i.e. I can never get it to run Python 3.9.1 even when that is the interpreter I chose.
I have reinstalled VSCode now several times, and Python 3.8.5 seems to always be the default. To me, the easiest solution seems to be changing the default Python version of VSCode - in fact, isn't that the point of selecting an interpreter? It is more nebulous to me why I cannot install pygmt into Python 3.8.5, and I don't know if it is beneficial to have multiple different versions of Python all with different packages (or is this just what Python users deal with daily?).

In VS Code, the Python kernel (Python environment) used by Jupyter notebook can be independent of the Python environment we selected in VS Code (shown in the lower left corner of VS Code).
As the output in the screenshot shows, the Python kernel of Jupyter you are using is "Python3.8.5", but the module "pygmt" is not installed in this environment. (Jupyter uses the last selected Python environment by default.)
Solution: Click the Python kernel on the upper right in the Jupyter notebook, and select the python environment where the module "pygmt" has been installed. In addition, it is recommended that you reopen the jupyter file after switching Jupyter's Python kernel so that it can reload the new python kernel.
Reference: Jupyter notebooks in VS Code.

pycharm error while importing, even though it works in the terminal

I have installed the packages TensorFlow and scikit_learn and all its dependencies. When I try importing them using python 2.7.6 or 2.7.10 (I have tried both) in the terminal, it works fine. However, when I do it using pycharm it gives an error.
In the case of scikit_learn with the launcher 2.7.6 says:
ImportError: dynamic module does not define init function (init_check_build)
In the case of scikit_learn with the launcher 2.7.10 says:
ValueError: numpy.dtype has the wrong size, try recompiling
In the case of TensorFlow with the launcher 2.7.6 says:
ImportError: dlopen(/Library/Python/2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so, 2): no suitable image found. Did find:
/Library/Python/2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so: mach-o, but wrong architecture
In the case of TensorFlow with the launcher 2.7.10 says:
ImportError: No module named copyreg
Error importing tensorflow. Unless you are using bazel,
you should not try to import tensorflow from its source directory;
please exit the tensorflow source tree, and relaunch your python interpreter
from there.
I have tried to search in the net but the solutions did not work for me. I have tried to uninstall them and install them again with pip, conda and directly the source code and it gives always the same errors. I have even tried reinstalling pycharm with no better luck.
Other libraries, such as scilab or numpy, work fine in pycharm.
Any ideas? It is just driving me mental. By the way, I am using a Mac OS 10.10.5.

you should start PyCharm from terminal
cd /usr/lib/pycharm-community/bin
./pycharm.sh

Add this 'DYLD_LIBRARY_PATH=/usr/local/cuda/lib' to Python environment variable. Run-> Edit Configurations -> Environment variables. Hope it works.

At the end, I ended up creating a virtual environment, reinstalling everything in there, and calling it through pycharm. I am not entirely sure what was the problem between conda and pycharm, I probably messed up somewhere.
I am now using a different virtual environment depending on the project and I am happier than ever :).

I had a similar problem. My code was was not working on PyCharm professional. I had PyCharm CE previously installed and it worked from there. I had configured PyCharm CE a while ago and I had forgotten what setup I used but if issues persist, make sure that the packages are installed under Preferences > Project > Project Interpreter

hey if there are people still with this problem I would like to tell you the solution. It works for me everytime.
1.Open Pycharm
2.Open PyCharmProject or the folder you are using
3.Click File and there Settings
4.Click Project: PyCharmProjects , there project interpreter
5.Select the global virtual enviroment for this ( including photo thats showing what i did )
6.Check if there are all packages you have installed