Read data exported from NDI First Principles. Only tested for use with Optotrak sensors.
Installation
Pip:
pip install optotrak
Conda:
conda install -c otaithleigh optotrak
Usage
Read the example file into a pandas DataFrame:
>>> from optotrak import load_optotrak
>>> load_optotrak('test_optotrak.tsv')
x y z
Frame Name
1 Beam1 486.618958 -560.735657 -2618.344971
Beam2 349.383820 -561.470093 -2552.003174
2 Beam1 486.617706 -560.736206 -2618.349365
Beam2 349.381195 -561.467651 -2551.989258
3 Beam1 486.620819 -560.732178 -2618.347412
Beam2 349.382477 -561.469910 -2551.998535
4 Beam1 486.624023 -560.735962 -2618.353760
Beam2 349.385376 -561.468994 -2551.997070
5 Beam1 486.622925 -560.734924 -2618.353760
Beam2 349.384094 -561.467957 -2551.995605
6 Beam1 486.618439 -560.733887 -2618.344971
Beam2 349.382568 -561.467041 -2551.992432
7 Beam1 486.617798 -560.736206 -2618.344238
Beam2 349.382965 -561.469482 -2551.994141
8 Beam1 486.620270 -560.736145 -2618.348877
Beam2 349.382446 -561.466797 -2551.987305
9 Beam1 486.622437 -560.734375 -2618.348389
Beam2 349.384796 -561.470032 -2551.996826
10 Beam1 486.623932 -560.736755 -2618.351318
Beam2 349.382874 -561.468628 -2551.993896
Metadata
Release files for optotrak 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| optotrak-0.1.0.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| optotrak-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 kB
Release files / optotrak-0.1.0.tar.gz
| Download URL | optotrak-0.1.0.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8b4ed9e7af2b42c0fa68efdc66682b0675c863d610fb41dade8d02e6585fbbe0
|
|
BLAKE2b-256 checksum How to use checksums |
eacfccd609541540dce043b4a62d062846b4c39818d1a7a93a47c3668170ea92
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/0.0.0 CPython/3.9.12
|
Release files / optotrak-0.1.0-py3-none-any.whl
| Download URL | optotrak-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
82c02ba44f764b3e4b41ea0f09788c6cd01307b2e9d745fef51855af3b40fe42
|
|
BLAKE2b-256 checksum How to use checksums |
0868bdddfe532baf7663e435cda36457aee68aa59e74e913478d2e69f5bddc20
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/0.0.0 CPython/3.9.12
|