seawater_crm
Certified values for seawater reference materials as pandas DataFrames.
Installation
pip install seawater_crm
conda install conda-forge::seawater_crm
Usage
See module and function docstrings for more detailed information.
Dickson CO2 CRMs
import seawater_crm as swcrm
# Generate pandas DataFrame containing certified values
crm = swcrm.dickson.get_crm_batches()
# Access values for (a) given batch(es)
batches = [205, 206, 208]
dic_certified = crm.loc[batches].dic
alkalinity_certified = crm.loc[batches].alkalinity
Nutrient, salinity, bottling date and flag columns are also available in the DataFrame, but the data in the nutrient columns are not yet complete.
1 maintainer
Metadata
1 maintainer
Release files for seawater-crm 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seawater_crm-0.1.tar.gz | 20.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seawater_crm-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.4 kB
Release files / seawater_crm-0.1.tar.gz
| Download URL | seawater_crm-0.1.tar.gz |
|---|---|
| Size | 20.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
af6e76a580f3bd7d275b72b83b0f1069a440d8c15a8b1eac26a081882b66b970
|
|
BLAKE2b-256 checksum How to use checksums |
384b2caa425c2e3ddc1afef50dce56d71cb99ae5598ecb9275f6be752d88af7d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / seawater_crm-0.1-py3-none-any.whl
| Download URL | seawater_crm-0.1-py3-none-any.whl |
|---|---|
| Size | 20.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eeda1c6e3839b63a1114b4b75396871af9cbe32de34e9abb4d87ad81a43dee91
|
|
BLAKE2b-256 checksum How to use checksums |
59e5dd422d980a582e3d8c104569a5b36914a6727faec0c63a19c74b1f9cd4f6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
