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"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
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"description": "Read fluorescence correlation spectroscopy (FCS) data files\n===========================================================\n\nFcsfiles is a Python library to read Carl Zeiss(r) ConfoCor(r) RAW and ASCII\nmeasurement data files.\n\n:Author:\n `Christoph Gohlke `_\n\n:Organization:\n Laboratory for Fluorescence Dynamics. University of California, Irvine\n\n:Version: 2019.1.1\n\nRequirements\n------------\n* `CPython 2.7 or 3.5+ `_\n* `Numpy 1.13 `_\n\nRevisions\n---------\n2019.1.1\n Update copyright year.\n\nNotes\n-----\n\"Carl Zeiss\" and \"ConfoCor\" are registered trademarks of Carl Zeiss, Inc.\n\nThe use of this implementation may be subject to patent or license\nrestrictions.\n\nThe API is not stable yet and is expected to change between revisions.\n\nPython 2.7 and 3.4 are deprecated.\n\nThis module does *not* read flow cytometry standard FCS files.\n\nExamples\n--------\n\nRead the CountRateArray from a ConfoCor3 ASCII file as a numpy array:\n\n>>> fcs = ConfoCor3Fcs('ConfoCor3.fcs')\n>>> fcs['FcsData']['FcsEntry'][0]['FcsDataSet']['CountRateArray'].shape\n(60000, 2)\n\nRead data and metadata from a ConfoCor3 RAW file:\n\n>>> fcs = ConfoCor3Raw('ConfoCor3.raw')\n>>> fcs.filename()\n'f5ee4f36488fca2f89cb6b8626111006_R1_P1_K1_Ch1.raw'\n>>> fcs.frequency\n20000000\n>>> times = fcs.asarray()\n>>> times[10858]\n1199925494\n>>> times, bincounts = fcs.asarray(bins=1000)\n>>> times.shape\n(1000,)\n>>> bincounts[618]\n23\n>>> fcs.close()\n\nRead data and metadata from a ConfoCor2 RAW file:\n\n>>> fcs = ConfoCor2Raw('ConfoCor2.raw')\n>>> fcs.frequency\n20000000\n>>> ch0, ch1 = fcs.asarray()\n>>> ch1[4812432]\n999999833\n>>> times, ch0, ch1 = fcs.asarray(bins=1000)\n>>> times.shape\n(1000,)\n>>> ch1[428]\n10095\n>>> fcs.close()\n\n\n",
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