This module allows National Instruments TDM/TDX files to be accessed like NumPy structured arrays.
To install the newest version use::
pip install tdm-loader
Sample usage::
import tdm_loader
data_file = tdm_loader.OpenFile('filename.tdm')
Access a channel by channel group and channel index combination::
data_file.channel(channel_group, channel)
Get a dict of all channels in a channel group:
data_file.channel_dict(channel_group)
Search for a column name. A list of all column names that contain
search_term and their indices will be returned::
data_file.channel_search(search_term)
Metadata
Release files for tdm-loader 1.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tdm_loader-1.2.7.tar.gz | 495.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tdm_loader-1.2.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 506.9 kB
Release files / tdm_loader-1.2.7.tar.gz
| Download URL | tdm_loader-1.2.7.tar.gz |
|---|---|
| Size | 495.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eb508caae0997e26ab293e758f1d64bc76c43a7df4ec708cd663a8222532a06c
|
|
BLAKE2b-256 checksum How to use checksums |
587c90b325a7ef59111460a9f11243dd5aa5cdd91056fda35d9df543bac343f0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|
Release files / tdm_loader-1.2.7-py3-none-any.whl
| Download URL | tdm_loader-1.2.7-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6e271639dfe39c4c09f488f7f2ba8e628c7c51a114458157ddca3d61c6861614
|
|
BLAKE2b-256 checksum How to use checksums |
20ebb4d3f6b7910046ea17330d4bd96d8b55799c4150c1b121034990b72afe2f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|