![]() 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. Note: you may need to restart the kernel to use updated packages. Location: /srv/conda/envs/notebook/lib/python3.6/site-packages Summary: Powerful data structures for data analysis, time series, and statistics ![]() Once you’ve successfully installed pandas, you can use the following command to display the pandas version in your environment: pip show pandas If the two versions don’t match, you need to either install an older version of pandas or upgrade your Python version. You can use the following commands to check if your pandas and pip versions match: which python ![]() If you’re still running into errors, you may be using a different version of pandas and pip. You can then run the same pip command as earlier to install pandas: pip install pandasĪt this point, the error should be resolved. ![]() You can also use these steps to upgrade pip to the latest version to ensure that it works. If you’re still getting an error, you may need to install pip. You can run the following pip command to install pandas: pip install pandas The easiest way to do so is by using pip, which is a package manager for Python. Since pandas doesn’t come installed automatically with Python, you’ll need to install it yourself. The new, active environment appears in the environments list. Select a Python version to run in the environment. When prompted, enter a descriptive name for the environment, such as Pandas. This tutorial shares the exact steps you can use to troubleshoot this error. The steps are similar for installing and opening nearly any package. This error occurs when Python does not detect the pandas library in your current environment. One common error you may encounter when using Python is: no module named ' pandas'
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