Dec 22, 2015. Download GRAMS/AI™ Spectroscopy Software – Thermo Scientific Free Software Cracked available for instant download. Our cracked program for GRAMS/AI™ Spectroscopy Software – Thermo Scientific cracked + crack – key – serial – license download working on Windows and Mac.
README.md spc A module for working with.SPC files in Python. SPC is a binary data format to store a variety of spectral data, developed by Galactic Industries Corporation in the '90s. Popularly used Thermo Fisher/Scientific software GRAMS/AI.
Also used by others including Ocean Optics, Jobin Yvon Horiba. Can store a variety of spectrum including FT-IR, UV-VIS, X-ray Diffraction, Mass Spectroscopy, NMR, Raman and Fluorescence spectra. The SPC file format can store either single or multiple y-values, and the x-values can either be given explicitly or even spaced x-values can be generated based on initial and final points as well as number of points. In addition the format can store various log data and parameters, as well as various information such as axis labels and scan type.
Features • Extracts header information into object members • For each subfile, extract subfile data into subFile class objects sub (, sub, sub.) • Extract x and y values into numpy ndarray • Attempts to interpret x,y, and z labels, as well as scan type • Member functions to output data in text, or plot using matplotlib Installation Requirements python2.7+ numpy matplotlib (optional, for plotting) Download zip and extract or clone repository. From the resulting folder run. >>>import spc >>>f = spc.File( '/Desktop/sample.spc ') # read file x -y( 20) # format string >>>f.data_txt() # output data >>>f.write_file( 'output.txt ') # write data to file >>>f.plot() # plot data Note the format string outputed refers to where data is stored the object, which corresponds to the various ways data can be stored in the spc file format. Items before the - means that data is global, after the - means the data is in a subFile, and the (n) refers to the number of subfiles. Examples Format string Meaning x-y(3) one global x-data series, 3 corresponding y-data series -xy(4) four subfiles with individual x and y data series gx-y(10) single global x-data (generated), and 10 corresponding y-data series Accessing data The object generated is populated with all the data and metadata from the file.
The data can be manully accessed using the entry in the table corresponding to the format string outputted. Format string x-values y-values -xy(n) f.sub.x. F.sub[n].x f.sub.y.
F.sub[n].y x-y(n) f.x f.sub.y. F.sub[n].y gx-y(n) f.x (generated) f.sub.y. F.sub[n].y Depending on the information stored in the file, there are a number of metadata fields that may be populated.
Some commonly used fields are metadata variable x-label f. Shadow The Hedgehog Ps2 Iso Free Download. xlabel y-label f.ylabel z-label f.zlabel Comment (formatted) f.cmnt Comment (raw) f.fcmnt Experiment type f.exp_type Log dictionary f.log_dict Log (remaining) f.log_other To get a full list of data/metadata stored in the object, you can run object.__dict__ on the file and subFile objects. Functions Functions Description f.data_txt() Outputs data to stdout f.debug_info() Human readable metadata for debugging f.plot() Plots data using matplotlib f.write_file() Writes data to text file File versions supported File versions are given by the second bit in the file, fversn in an SPC object. Currently the library supports the following fversn bytes. Fversn Description Support Notes 0x4B New format (LSB) Good z-values are not accounted for in data_txt() and plot() commands 0x4C New format (MSB) None need sample file to test 0x4D Old format Good 0xCF SHIMADZU format Very limited no metadata support, only tested on one file, no specifications File converter The file converter can be use to convert files/directories from the terminal.
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