Comments (1)
ERDDAP regularly needs to know what the number of timesteps in the datasets are. Right now I'm using num_timesteps and I was thinking about changing it to actually count the shape of time so that it would be consistent across the two coverage types we use, but I'm wondering if we can just keep num_timesteps.
from coverage-model.
Related Issues (20)
- Sparse types named lon raise error HOT 2
- is_empty HOT 3
- Can't support observations before 1900-01-01 HOT 1
- Array types return object arrays HOT 4
- Sparse Arrays HOT 2
- Parameter Functions HOT 1
- Managing fill values within the parameter function framework HOT 23
- slice object not iterable error HOT 2
- Numexpr Parameter Functions
- Need the ability to overwrite values (for QC application) HOT 4
- Complex Coverage HOT 11
- Ragged Array Support HOT 9
- Sparse Arrays are represented as record arrays instead of ndarrays HOT 1
- Array Types cause ValueError when reading HOT 22
- ComplexCoverage get_parameter_values raises if using time segment of (None,None) HOT 2
- Complex Coverage referencing empty coverages HOT 2
- Support Temporally Neighboring Observation Lookup
- Data retrieval performance improvements HOT 3
- R2 to R3 Coverage Migration
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 coverage-model.