Element Recognition
What is this.
A package that organizes compositions written as strings into pandas.DataFrames, or conversely, generates compositions from mixing ratios by using only numpy and pandas.
It works well with ternary_diagram (This makes it easy to generate beautiful ternary diagram.). Please check it out.
How to install
pip install element-recognition
How to use
If you want to know in details, see example.
Import modules
from element_recognition import get_ratio, make_compositions
get_ratio
This is a function that returns a pandas.DataFrame of mixing ratios given a compound and a raw material.
get_ratio(products = ['Li2La2TiO6'], materials = ['Li2O', 'La2O3', 'TiO2'])
Li2O La2O3 TiO2
Li2La2TiO6 1.0 1.0 1.0
make_compositions
This function returns the composition formula and the amount of all elements contained as a pandas.DataFrame by giving the raw materials and the mixing ratio.
make_compositions(materials = ['Li2O', 'La2O3', 'TiO2'], ratio = [[1, 2, 3]])
H He Li Be B C N O F Ne Na Mg Al Si P ... Rf Db Sg Bh Hs Mt Ds Rg Cn Nh Fl Mc Lv Ts Og
Li2Ti3La4O13 0.0 0.0 2.0 0.0 0.0 0.0 0.0 13.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
LICENSE
see LICENSE.
Metadata
Release files for element-recognition 1.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| element_recognition-1.1.4.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| element_recognition-1.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.8 kB
Release files / element_recognition-1.1.4.tar.gz
| Download URL | element_recognition-1.1.4.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/0.0.0 CPython/3.9.12
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Release files / element_recognition-1.1.4-py3-none-any.whl
| Download URL | element_recognition-1.1.4-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/0.0.0 CPython/3.9.12
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