Anaconda for Pycharm on Linux

Question

People I am not able to access, the anaconda in pycharm, first I tried to access two libraries and appeared this error. Libraries:

import pandas as pd

import numpy as np

error:

Traceback (most recent call last):
File "/home/moises/Documentos/curso de python/Curso-Ciencia-de-Dados-master/Amostragem/amostragem1.py", line 1, in <module>
import pandas as pd
ModuleNotFoundError: No module named 'pandas'

And it’s very strange because not even a new project it allows to create:

Someone’s been through it?

NOTE: I use Python3.7

Answer 1

Anaconda, besides being a python distribution, is also a virtual environment manager (venvs), that is, the ideal is that you create a virtual environment for each project you have to work on, so you can have, for example, a project using python 2.7 with packages that only work in this version, another one using python 3.4 with pandas, scikit, etc.

You can create these virtual environments through pycharm, but, in my opinion, it is not the best way to start, because it hides what happens "Behind the Scenes", I will try to explain here how it works outside the pycharm and then a way to configure it to use the environment.

Creating an environment:
After the installation of anaconda, choose a name for your venv, let’s say you are doing a course of Django that uses python 3.5 and Django 2.1, let’s consider the name for venv as course-Django, on the linux command line, create the environment like this:

conda create -n curso-django python=3.5

Listing the environments:
To make sure the environment is created, use the command conda-env to list the available environments:

$ conda-env list

The exit should be something like this:

# conda environments:
#
base                  *  /home/sidon/miniconda3
curso-django             /home/sidon/miniconda3/envs/curso-django

Note that the environment you are in (active) is marked with the asterisk.

Changing the environment:
After the installation of the anaconda, vc will always be in the "base", whenever Voce trigger the command line, to change environment use the command source activate:

$ ~/ source activate curso-django
(curso-django) $ ~/

Note that the command prompt changes, is showing in parentheses the currently active environment. Use source deactivate to return to base.

Installing packages in the environment:
Once the Voce environment has been created, you can install the packages you want with both anaconda and Pip, don’t forget to activate the desired environment first, for example:

~/ $ source activate curso-django
(curso-django) ~/ pip install django==2.1 pandas numpy

You can also install the packages via pycharm if you want.

Pycharm setting up a project for an environment:
To configure a project to use an anacadonda environment in pycharm go to: file/settings/project/projectInterpreter, if the environment you want not to appear in the list, click the gear and add option, choose 'existing Environment' and then the 3 dots to search for the directory (Informed by the command $ conda-env list)