`detect_peaks.py`, written by () contains the following functions: `func_rtapylysis.py` contains the following functions:ħ. Note: Any previous files with same name as **_example_rtamap.png_** and **_example_rtapylysis.png_** inside the present working directory will be overwritten without any prompt upon execution of the above python scripts. * Obtain the RTA analysis for example.mat file contained inside **_$TARGET/example/_** * Obtain the RTA map for example.mat file contained inside **_$TARGET/example/_** Then use the following commands to run the example scripts: * Change present working directory to **_TARGET_** by using the following command from terminal `cd $TARGET` (replace $TARGET with **_TARGET_** path). * For a **Mac OS**, see this () for value of **_TARGET_**.
Peakutils python conda windows install#
* For a **Linux OS**, the above command would install () in **_TARGET_** = `$HOME/.local/lib/pythonx.y/site-packages/` where _pythonx.y_ = _python2.7_ for _for _python 2.7.12_ (Use `python -version` for _python version_).
Alternatively, () may be installed using `pip`: It may be downloaded directly from the () to any user directory called **_TARGET_**. $ pip install -user package_name # where, package_name: numpy, scipy, matplotlib, seabornġ. For a bare-bone version of _Python 2.7.12_, the following packages must be installed before running the script: `numpy`, `scipy`, `matplotlib`, `seaborn`, in addiiton to already installed python packages `os`, and `sys`. The python package () needs to be installed: It is strongly recommended that the () is installed which would include all but one of the required python packages needed to use ().Ģ.
Peakutils python conda windows windows#
() has been tested on Linux, Mac, and Windows OS.ġ.
> This README file is intended for someone who may use the functions inside () for analyzing similar kinds of synchrotron RTA data. () is a data-analysis tool written in *Python 2.7.12* for fast analysis of big datasets collected by **synchrotron rapid thermal annealing (_RTA_) X-ray diffraction (_XRD_) experiments**.
0 kommentar(er)
