fluentxy
A small package to parse .xy output files from Fluent into Pandas DataFrames.
The typical .xy output from Fluent looks like
(title "Axial Velocity")
(labels "Position" "Axial Velocity")
((xy/key/label "inlet")
0 0.2
...
0.00873 0.2
)
and this module parses this output into a DataFrame that looks like
from fluentxy import parse_data
with open('filename.xy', 'r') as f:
lines = f.readlines()
data = parse_data(lines)
data.head()
inlet
Position Axial Velocity
0 0.000000 0.2
1 0.000582 0.2
2 0.001164 0.2
3 0.001746 0.2
4 0.002328 0.2
Metadata
Release files for fluentxy 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fluentxy-0.1.0.tar.gz | 10.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fluentxy-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.4 kB
Release files / fluentxy-0.1.0.tar.gz
| Download URL | fluentxy-0.1.0.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.21.0
|
Release files / fluentxy-0.1.0-py3-none-any.whl
| Download URL | fluentxy-0.1.0-py3-none-any.whl |
|---|---|
| Size | 31.6 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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|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.21.0
|
Security for fluentxy 0.1.0
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