resample(input_array, output_array, matrix, interpolation=NEAREST, alpha=1.0, norm=False, radius=1)
If 2-d, the image is grayscale. If 3-d, the image must be of size 4 in the last dimension and represents RGBA data.
The dtype and number of dimensions must match :None:None:`input_array`.
The transformation from the input array to the output array.
The interpolation method. Must be one of the following constants defined in this module:
NEAREST (default), BILINEAR, BICUBIC, SPLINE16, SPLINE36, HANNING, HAMMING, HERMITE, KAISER, QUADRIC, CATROM, GAUSSIAN, BESSEL, MITCHELL, SINC, LANCZOS, BLACKMAN
When :None:None:`True`, use a full resampling method. When :None:None:`False`, only resample when the output image is larger than the input image.
The level of transparency to apply. 1.0 is completely opaque. 0.0 is completely transparent.
Whether to norm the interpolation function. Default is :None:None:`False`.
The radius of the kernel, if method is SINC, LANCZOS or BLACKMAN. Default is 1.
Resample input_array, blending it in-place into output_array, using an affine transformation.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.image._resample
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