[FIXED] How to install and load polars in Python?

Issue

Based on this stackoverflow answer, I installed polars-lts-cpu after uninstalling polars but I can't get it to work:

How do I import polars-lts-cpu?

Edit:

I tried the suggestion in the comment but got the same issue:

(homl3) C:\Users\umair>python -m pip install polars-lts-cpu
Requirement already satisfied: polars-lts-cpu in c:\users\umair\anaconda3\envs\homl3\lib\site-packages (0.20.5)

(homl3) C:\Users\umair>python
Python 3.10.10 | packaged by conda-forge | (main, Mar 24 2023, 20:00:38) [MSC v.1934 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import polars as pl
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'polars'

Solution

How about to use the conda python environment? It supports independent package, dependency, and environment management for each project.

A couple of benefits

Package Management: Conda simplifies the process of installing, updating, and managing packages. It supports both Python and non-Python packages, allowing for a more comprehensive environment setup.

Platform Independence: Conda environments are platform-independent, meaning they can be created and used across different operating systems (Windows, macOS, Linux)

It will address your global Python environment.

I will demo for your 'polars-lts-cpu' install problem

Steps

Install Conda

download and install from here

Create demo environment

launching Conda prompt

Format conda create -n

Run this command from it

conda create -n demo_homl3

Install python and dependencies

Switch into your demo environment

conda activate demo_homl3

Then install specific python version and dependencies

conda install python=3.10.10 polars-lts-cpu polars

Save this demo python code

Save as demo.py. It copy from here

import polars as pl
from datetime import datetime

df = pl.DataFrame(
    {
        "integer": [1, 2, 3],
        "date": [
            datetime(2022, 1, 1),
            datetime(2022, 1, 2),
            datetime(2022, 1, 3),
        ],
        "float": [4.0, 5.0, 6.0],
    }
)

print(df)

Result

Here is the Conda tutorial.

I think you will like the Conda environment after this experience.

Answered By - Bench Vue