Comments (4)
MonEstCha
commented on July 22, 2024
I thought about writing a generic script for reading in any surface related csv file to a DataFrame and/or xarray, so that the number of columns doesn't matter., i.e. if the csv contains only vertices or vertices with attributes. What do you think?
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Leguark
commented on July 22, 2024
Yes, that would be great. As long as the output is an UnstructuredData object, the more we can do for the user the better :D
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MonEstCha
commented on July 22, 2024
Okay, then for examples I create a PointSet class object, if only vertices are listed in the csv, or a TriSurf object, if edges are present, instead of just the DataFrame?
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MonEstCha
commented on July 22, 2024
I'm getting warnings with my latest commit, test_surface_reader.test_plot_to_pyvista (line 52) and commented that at the mentioned line as a review
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Related Issues (20)
- Loading GIS data HOT 4
- Loading topography
- Structured elements
- Load data from GoCAD HOT 2
- Add travis or other automatic testing framework HOT 1
- Loading segy
- Proposed additional fundamental data type: Composite of elements? HOT 2
- Github actions breaks with segmentation error after calling pyvista HOT 1
- [T21] Change subsurface logo HOT 1
- [T21] Specify standard reference system on subsurface
- [T21] Add documentation page about standard coordinate system
- `StructuredData.to_binary` assumes there is only a single data set (which is named `data_array`)
- cannot import name 'Literal' from 'typing' HOT 1
- Pandas Import Typing Error HOT 2
- Welly : AttributeError: 'NoneType' object has no attribute 'position' HOT 14
- Replace cell_array/point_array with cell_data/point_data
- Merge `gio` into this project
- Reading Well Data into Subsurface HOT 7
- GemPy no longer outputs Xarray structured grids HOT 2
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