One common error you may encounter when using Python is:
Import error: no module named 'numpy'
This error occurs when Python does not detect the NumPy library in your current environment.
This tutorial shares the exact steps you can use to troubleshoot this error.
Step 1: pip install numpy
Since NumPy 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 NumPy:
pip install numpy
For python 3 you can use:
pip3 install numpy
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 NumPy:
pip install numpy
At this point, the error should be resolved.
Step 3: Check NumPy Version
Once you’ve successfully installed NumPy, you can use the following command to display the NumPy version in your environment:
pip show numpy Name: numpy Version: 1.20.3 Summary: NumPy is the fundamental package for array computing with Python. Home-page: https://www.numpy.org Author: Travis E. Oliphant et al. Author-email: None License: BSD Location: /srv/conda/envs/notebook/lib/python3.7/site-packages Requires: Required-by: tensorflow, tensorflow-estimator, tensorboard, statsmodels, seaborn, scipy, scikit-learn, PyWavelets, patsy, pandas, matplotlib, Keras-Preprocessing, Keras-Applications, imageio, h5py, bqplot, bokeh, altair Note: you may need to restart the kernel to use updated packages.
The following tutorials explain how to fix other common problems in Python: