pingwyn
Functions
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Perform an affine transformation on an image. |
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Perform Gwyddion-like median row alignment of images. |
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Bin an object by combining datapoints. |
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Clip data to cut off extreme values. |
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Create an in-memory copy of a pingwyn object. |
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Shift a curve such that the points at x = 0 or y = 0 are set to zero. |
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Convert individual curves to line profiles. |
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Differentiate the closest thing to dy/dx for the given object. |
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Wrapper for pingwyn.image_fix_zero, pingwyn.curve_fix_zero and pingwyn.profile_fix_zero. |
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Set minimum value of an image to zero. |
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Normalise an object. |
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Open a data file. |
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Opens multiple data files. |
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Wrapper function for plotting PinGwyn objects. |
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Plot a curve. |
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Plot a grid slice of a specified index. |
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Plot an image to a matplotlib axis. |
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Wrapper function for plotting PinGwyn objects. |
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Plot a profile. |
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Shift a profile such that for each curve in the profile, the points at x = 0 or y = 0 are set to zero. |
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Remove a variety of scanning artefacts using FFT based feature detection. |
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Remove an n-th order polynomial background from an image |
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This function is not implemented |
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Smooth data points. |
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Resize an image such that the width and height of a pixel are equal (i.e. square). |
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Convert object values to floats. |
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Convert object values to numpy 64-bit floats. |
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Convert object values to integers between 0 to 255 |
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Convert object values to numpy unsigned 8-bit integers. |
Classes
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A container for a x,y-curve. |
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A container for a 3D grid. |
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A container for an image. |
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A container for a x,y-curve. |
Modules
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