Comments (4)
Hi Yoel,
This seems like a great name convention. Good thinking!
I think I went from the csv reader module, to a custom parser for everything based on to_num, played around with storing as numpy arrays, and then ended at pandas for most data reading things. I am not surprised the naming convention has been inconsistent!
from chemicals.
I also just noticed that some names have Dict, but are actually dataframes...
from chemicals.
Thanks! Since part of this chemicals project is to expose the data, I'll keep these as public.
from chemicals.
I updated the convention so that its easier to autocomplete the names.
from chemicals.
Related Issues (20)
- DIPPR 801 2019? HOT 1
- conda-forge Package Missing HOT 5
- Update GWPs for IPCC Report version 5 HOT 2
- Pandas' new high-precision csv float parser is sometimes quite low precision HOT 1
- Problem with Antoine's coefficients for Toluene HOT 1
- The vectorized submodule is not fully supported throughout the package HOT 6
- numba_vectorized reports TypeError HOT 3
- incorrect separators on water synonyms HOT 7
- Incorrect calculation of density when using saturation temperature as input HOT 2
- Get chemical name from chemical notation HOT 3
- GWP IPCC 5th edition (2018)
- Nitrogen Lennard-Jones values missing HOT 2
- Searching for CO returns methanol. HOT 2
- Vs in COSTALD_compressed should be Vsat?
- Many chemicals input are found but no data given
- Incorrect formula for dichlorosilane and trichlorosilane
- `TypeError` when operating in no-JIT mode HOT 2
- Steam density calculations change significantly with new release HOT 3
- Adding chemical ID: 157846
- The attribute "ionization" is listed twice with different descriptions HOT 1
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from chemicals.