| Name | tdfpy JSON |
| Version |
0.1.7
JSON |
| download |
| home_page | |
| Summary | Python package to work with bruker tdf and tdf_bin files |
| upload_time | 2023-06-11 17:48:14 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | MIT License Copyright (c) 2023 Patrick Garrett Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# TDFpy
basic pip package to handle Bruker's .tdf and .tdfbin files.
## How to install
- pip install tdfpy
or
- git clone https://github.com/pgarrett-scripps/tdfpy.git
- cd tdfpy
- pip install .
## How to access analysis.tdf db
- from tdfpy import PandasTdf
- pd_tdf = PandasTdf('path/to/analysis.tdf')
- pd_tdf.precursors -> returns pd.DataFrame containing Precursors table
- pd_tdf.frames -> returns pd.DataFrame containing Frames table
- pd_tdf.properties -> returns pd.DataFrame containing Properties table
## How to access analysis.tdf_bin db
- from tdfpy import TimsData
- td = TimsData('path/to/dfolder')
- td.readPasefMsMsForFrame(1) -> return msms spectra for first msms frame
Raw data
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"description": "# TDFpy\n\nbasic pip package to handle Bruker's .tdf and .tdfbin files. \n## How to install\n- pip install tdfpy\n\nor\n\n- git clone https://github.com/pgarrett-scripps/tdfpy.git\n- cd tdfpy\n- pip install .\n\n## How to access analysis.tdf db\n- from tdfpy import PandasTdf\n- pd_tdf = PandasTdf('path/to/analysis.tdf')\n- pd_tdf.precursors -> returns pd.DataFrame containing Precursors table\n- pd_tdf.frames -> returns pd.DataFrame containing Frames table\n- pd_tdf.properties -> returns pd.DataFrame containing Properties table\n\n## How to access analysis.tdf_bin db\n- from tdfpy import TimsData\n- td = TimsData('path/to/dfolder')\n- td.readPasefMsMsForFrame(1) -> return msms spectra for first msms frame\n\n\n",
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