像matplotlib一样在Python Bokeh中使用插值绘制图像? [英] plot image with interpolation in Python Bokeh like matplotlib?

问题描述

有没有办法像使用Matplotlib一样，使用具有插值的Bokeh将2D数组绘制为图像?我可以使用示例进行绘制: https://docs.bokeh .org/en/latest/docs/gallery/image.html 但是，图像太粗糙了.我喜欢Matplotlib中插值的工作方式: https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods .html

Is there any way to plot 2D array as an image using Bokeh with interpolation like in Matplotlib? I am able to plot using an example: https://docs.bokeh.org/en/latest/docs/gallery/image.html However, the image is to coarse. I like the way interpolation work in Matplotlib: https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods.html

我尝试过预先执行插值，但是矩阵的大小现在很大.

I tried to perform interpolation beforehand but the matrix size now is to big.

推荐答案

我遇到了同样的问题，并且在pyviz的Gitter中找到了答案. 该解决方案结合了Holoviews和Datashader:

I had the same issue and I've found the answer in pyviz's Gitter. The solution combines Holoviews and Datashader:

import holoviews as hv 
from holoviews import opts
from holoviews.operation.datashader import regrid

img = hv.Image(data)
regrid(img, upsample=True, interpolation='bilinear')

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