doc update: added some missing functions
setup.py updates
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@ -8,7 +8,7 @@ Simple Data Display Functions
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.. autofunction:: pyqtgraph.image
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.. autofunction:: pyqtgraph.dbg
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Color, Pen, and Brush Functions
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-------------------------------
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@ -34,6 +34,8 @@ Qt uses the classes QColor, QPen, and QBrush to determine how to draw lines and
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.. autofunction:: pyqtgraph.colorStr
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.. autofunction:: pyqtgraph.glColor
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Data Slicing
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------------
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@ -41,6 +43,18 @@ Data Slicing
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.. autofunction:: pyqtgraph.affineSlice
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Coordinate Transformation
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-------------------------
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.. autofunction:: pyqtgraph.transformToArray
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.. autofunction:: pyqtgraph.transformCoordinates
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.. autofunction:: pyqtgraph.solve3DTransform
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.. autofunction:: pyqtgraph.solveBilinearTransform
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SI Unit Conversion Functions
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----------------------------
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@ -59,6 +73,12 @@ Image Preparation Functions
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.. autofunction:: pyqtgraph.makeQImage
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.. autofunction:: pyqtgraph.applyLookupTable
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.. autofunction:: pyqtgraph.rescaleData
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.. autofunction:: pyqtgraph.imageToArray
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Mesh Generation Functions
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-------------------------
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@ -68,4 +88,13 @@ Mesh Generation Functions
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.. autofunction:: pyqtgraph.isosurface
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Miscellaneous Functions
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-----------------------
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.. autofunction:: pyqtgraph.pseudoScatter
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.. autofunction:: pyqtgraph.systemInfo
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18
setup.py
18
setup.py
@ -9,7 +9,11 @@ all_packages = ['.'.join(p) for p in subdirs]
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setup(name='pyqtgraph',
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version='',
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description='Scientific Graphics and GUI Library for Python',
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long_description="PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fast display.",
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long_description="""\
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PyQtGraph is a pure-python graphics and GUI library built on PyQt4/PySide and numpy.
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It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fast display.
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""",
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license='MIT',
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url='http://www.pyqtgraph.org',
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author='Luke Campagnola',
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@ -17,5 +21,17 @@ setup(name='pyqtgraph',
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packages=all_packages,
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package_dir = {'pyqtgraph': '.'},
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package_data={'pyqtgraph': ['graphicsItems/PlotItem/*.png']},
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classifiers = [
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"Programming Language :: Python",
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"Programming Language :: Python :: 3",
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"Development Status :: 4 - Beta",
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"Environment :: Other Environment",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Topic :: Scientific/Engineering :: Visualization",
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"Topic :: Software Development :: User Interfaces",
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],
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)
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