Comments (2)
Was the install the first cell of the notebook? Did you try restarting the kernel after installing? Is pip
installing into your conda environment?
Installing or upgrading packages after they're already loaded into memory will oftentimes result in a failure. Sometimes other code will import packages in the background which causes the same issue. Try install the dependency before you launch the kernel or restart after. If you do install from the notebook I would highly recommend using the magics described here: https://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/ instead of !pip
calls. See if looking into those things fixes the issue for you.
from scrapbook.
I've resolved the issue: I simply ran !pip install scrapbook
earlier in my script and the import statement was pointing to that package.
from scrapbook.
Related Issues (20)
- Problem with reading notebooks directly from S3 Buckets HOT 3
- 0.3.0 Release HOT 2
- Allow saving of dataframes HOT 5
- Python 3 only release change
- Possible to use with figures / plots? HOT 6
- Error message: Mime type unknown is not currently supported HOT 2
- Scrap of type Int not supported HOT 2
- Pandas DataFrame example raises error "No encoder found " HOT 2
- Importing ABC directly from collections was deprecated and will be removed in Python 3.10
- Highlight demo fails on Binder with KeyError: "kernel_manager_class" HOT 6
- Remove papermill dependency
- Python 3.9 compatibility HOT 3
- All old versions have been dropped from pypi? HOT 4
- Cool project, however, some suggestions for improvements HOT 2
- Authorize filter arguments to filter notebook to read given their name HOT 1
- Reverse operation for `glue` HOT 2
- What happened to pm.display? HOT 4
- scrap.Scrap as a dataclass
- Issue with scrapbook glue in R ipynb:
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from scrapbook.