Library for parsing Density Functional Theory calculations
Project description
dfttopif
========
[](https://travis-ci.com/WardLT/pif-dft)
A Python library for extracting the input settings and results from Density Functional Theory calculations, and then storing that data in pif format.
Requirements
------------
Python 2.7 or >=3.4.0, with dependencies listed in [requirements.txt](https://github.com/CitrineInformatics/pif-dft/blob/master/requirements.txt)
Installation
------------
First, install the packages with `pip install -r requirements.txt`, then call `python setup.py install`
Usage
-----
Option 1: Call the command line tool `dfttopif` provided in the binary directory, which takes the directory containing DFT results as its only option
```shell
./bin/dfttopif /path/to/calculation/
```
Option 2: Generate the pif object via the python API
```python
from dfttopif import directory_to_pif
data = directory_to_pif('/path/to/calculation/')
```
========
[](https://travis-ci.com/WardLT/pif-dft)
A Python library for extracting the input settings and results from Density Functional Theory calculations, and then storing that data in pif format.
Requirements
------------
Python 2.7 or >=3.4.0, with dependencies listed in [requirements.txt](https://github.com/CitrineInformatics/pif-dft/blob/master/requirements.txt)
Installation
------------
First, install the packages with `pip install -r requirements.txt`, then call `python setup.py install`
Usage
-----
Option 1: Call the command line tool `dfttopif` provided in the binary directory, which takes the directory containing DFT results as its only option
```shell
./bin/dfttopif /path/to/calculation/
```
Option 2: Generate the pif object via the python API
```python
from dfttopif import directory_to_pif
data = directory_to_pif('/path/to/calculation/')
```
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dfttopif-0.1.1.tar.gz
(62.3 kB
view details)
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
dfttopif-0.1.1-py3.5.egg
(160.1 kB
view details)
dfttopif-0.1.1-py3-none-any.whl
(66.9 kB
view details)
dfttopif-0.1.1-py2.7.egg
(160.3 kB
view details)
File details
Details for the file dfttopif-0.1.1.tar.gz.
File metadata
- Download URL: dfttopif-0.1.1.tar.gz
- Upload date:
- Size: 62.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
650bad32c288d9ce5f02a5aa8a5614de1016a9e838653b302f6ef0c95c026589
|
|
| MD5 |
108e729afc9cc3eea70b8a25f9bee495
|
|
| BLAKE2b-256 |
1ea300c9e3ac1e809377c3f14195996f733eabefb4b3661f6223e56bc2dbc5ce
|
File details
Details for the file dfttopif-0.1.1-py3.5.egg.
File metadata
- Download URL: dfttopif-0.1.1-py3.5.egg
- Upload date:
- Size: 160.1 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58cf12044c4cdde55b0369bd6c8a2ea0285c725a04ce0ef470ff61e0360c87dd
|
|
| MD5 |
9134acd0db8a5cf60cfe3ef854c90826
|
|
| BLAKE2b-256 |
65fddd2a254083d99cce04efd13e51f234554b346a59a808593f119faa92af1f
|
File details
Details for the file dfttopif-0.1.1-py3-none-any.whl.
File metadata
- Download URL: dfttopif-0.1.1-py3-none-any.whl
- Upload date:
- Size: 66.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
954dd2f72f59e11928e0b0c295607aa6c16b04b323c6f845d8112e5eeab3ff0c
|
|
| MD5 |
ffd2979a77e1390be407933dd71c53d6
|
|
| BLAKE2b-256 |
af91a684cc8652fbb417495664549ea08142f1c7c97856d2c1ce8ff1f4e98333
|
File details
Details for the file dfttopif-0.1.1-py2.7.egg.
File metadata
- Download URL: dfttopif-0.1.1-py2.7.egg
- Upload date:
- Size: 160.3 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c511c034773dfa75063cc3d63eed961dcbcb97c18d33764aeae7018b8387a612
|
|
| MD5 |
76360e5af80e55aee78a1e6083351791
|
|
| BLAKE2b-256 |
49925fabf361e5601d059060e14d499769b2e61b509abe0e142264c8126b4ba6
|