I am getting a ValueError: Length mismatch: Expected axis has 15 elements, new values have 16 elements when I run df.compute() where df has 15 columns. It works for some datasets and not for some despite the format remaining the same. Any idea on how to sort this out?
If you are on windows graphviz can be a problem. You can solve it with this line of code in your notebook. import os os.environ["PATH"] += os.pathsep + os.environ['CONDA_PREFIX'] + '\\Library\\bin\\graphviz' Maybe it would be helpful!
Let's hope for an updated Tutorial in 2020 🙏
Thank you for asking! We will be giving this Tutorial again at SciPy 2020. 😊
Any chance to have an overview of optimization where dask & numba are used together or would it collide in some way? thanks
conda install python-graphviz
will help us visualize.
hope it is helpful.
Very apt
conda install graphviz or
conda install -c conda-forge graphviz
in case you don't have graphviz installed
I am getting a ValueError: Length mismatch: Expected axis has 15 elements, new values have 16 elements
when I run df.compute() where df has 15 columns. It works for some datasets and not for some despite the format remaining the same. Any idea on how to sort this out?
If you are on windows graphviz can be a problem.
You can solve it with this line of code in your notebook.
import os
os.environ["PATH"] += os.pathsep + os.environ['CONDA_PREFIX'] + '\\Library\\bin\\graphviz'
Maybe it would be helpful!
why don't we do a complet project? why only nootebook? It is a mistake...
The link to the materials seems to be broken, can you provide a working one?
Thanks for uploading this!
For anyone interested, you can find the materials at github.com/martindurant/dask-tutorial-scipy-2018
The link has been updated! Thank you for letting us know about the issue.
@@enthought You are welcome! :)
Thanks again for the awesome contents!
Thanks for the video! It helped me a lot.
Dask should be used by every python user