One common error you may encounter when using Python is:
no module named 'pandas'
This error occurs when Python does not detect the pandas library in your current environment.
This tutorial shares the exact steps you can use to troubleshoot this error.
Step 1: pip install pandas
Since pandas doesn’t come installed automatically with Python, you’ll need to install it yourself. The easiest way to do so is by using pip, which is a package manager for Python.
You can run the following pip command to install pandas:
pip install pandas
In most cases, this will fix the error.
Step 2: Install pip
If you’re still getting an error, you may need to install pip. Use these steps to do so.
You can also use these steps to upgrade pip to the latest version to ensure that it works.
You can then run the same pip command as earlier to install pandas:
pip install pandas
At this point, the error should be resolved.
Step 3: Check pandas and pip Versions
If you’re still running into errors, you may be using a different version of pandas and pip.
You can use the following commands to check if your pandas and pip versions match:
which python python --version which pip
If the two versions don’t match, you need to either install an older version of pandas or upgrade your Python version.
Step 4: Check pandas Version
Once you’ve successfully installed pandas, you can use the following command to display the pandas version in your environment:
pip show pandas Name: pandas Version: 1.1.5 Summary: Powerful data structures for data analysis, time series, and statistics Home-page: https://pandas.pydata.org Author: None Author-email: None License: BSD Location: /srv/conda/envs/notebook/lib/python3.6/site-packages Requires: python-dateutil, pytz, numpy Required-by: Note: you may need to restart the kernel to use updated packages.
Note: The easiest way to avoid errors with pandas and Python versions is to simply install Anaconda, which is a toolkit that comes pre-installed with Python and pandas and is free to use.
The following tutorials explain how to fix other common problems in Python: