equinor / equinor/webviz-subsurface
Lineplotter: download profile after filtering, also yearly profile
- Dominant language
- Python
- Stars
- 62
- Forks
- 62
- Avg merge
- 5d 7h
- Merged PRs (30d)
- 3
Description
### 💡 Feature request:
Lineplotter: download profile after filtering, also yearly profile
---
### 🔖 Version information
* **Plugin name:** `LinePlotterFMU`
* **Plugin project version:** `webviz-subsurface==0.2.5`
* **Plugin project dependencies:**
```
bleach==4.0.0
brotli==1.0.9
cached-property==1.5.2
certifi==2021.5.30
cffi==1.14.6
chardet==4.0.0
click==7.1.2
cryptography==3.4.7
cwrap==1.6.1
cycler==0.10.0
dash==1.21.0
dash-bootstrap-components==0.13.0
dash-core-components==1.17.1
dash-daq==0.5.0
dash-html-components==1.1.4
dash-pivottable==0.0.2
dash-table==4.12.0
dataclasses==0.8
defusedxml==0.7.1
deprecation==2.1.0
ecl==2.11.0
ecl-data-io==0.0.2
ecl2df==0.14.0
et-xmlfile==1.1.0
flask==2.0.1
flask-caching==1.10.1
flask-compress==1.10.1
flask-talisman==0.8.1
fmu-ensemble==1.5.0
future==0.18.2
h5py==3.1.0
hdf5plugin==3.1.1
idna==2.10
importlib-metadata==4.6.4
itsdangerous==2.0.1
jinja2==3.0.1
kiwisolver==1.3.1
markdown==3.3.4
markupsafe==2.0.1
matplotlib==3.3.4
msal==1.13.0
numexpr==2.7.3
numpy==1.19.5
openpyxl==3.0.7
opm==2021.4.0
packaging==21.0
pandas==1.1.5
patsy==0.5.1
pillow==8.3.1
plotly==5.2.2
pyarrow==5.0.0
pycparser==2.20
pyparsing==2.4.7
pyscal==0.8.0
python-dateutil==2.8.2
pytz==2021.1
pyyaml==5.4.1
requests==2.25.1
roffio==0.0.2
scipy==1.5.4
segyio==1.9.7
shapely==1.7.1
six==1.16.0
statsmodels==0.12.2
tables==3.6.1
tenacity==8.0.1
tqdm==4.62.2
treelib==1.6.1
typing-extensions==3.10.0.0
urllib3==1.26.6
webencodings==0.5.1
webviz-config==0.3.4
webviz-core-components==0.5.1
webviz-subsurface-components==0.4.5
werkzeug==2.0.1
xlrd==1.2.0
xtgeo==2.15.2
zipp==3.5.0
```
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the LineplotterFMU plugin and inspect how its filtering and profile visualization are assembled. Trace the existing line plot and identify how downloads are exposed; done means a filtered profile and a yearly profile can both be downloaded with results matching the displayed data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, plotly, python
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100