在情节中平滑热图 [英] Smoothen heatmap in plotly

问题描述

我想使用 plotly 创建概率密度矩阵的热图.

I wanted to create a heatmap of a probability density matrix using plotly.

import numpy as np
from plotly.offline import download_plotlyjs, init_notebook_mode, plot
import plotly.graph_objs as go

probability_matrix = np.loadtxt("/path/to/file")
trace = go.Heatmap(z = probability_matrix)
data=[trace]
plot(data, filename='basic-heatmap')

这给了我这样的图像:

我想平滑正方形的颜色，以便图像中相邻正方形之间的过渡有点平滑".我想知道是否有一种方法可以做到这一点，而无需使用插值手动调整矩阵的大小.

I want to smoothen the color of the squares so that the transition between adjacent squares in the image are somewhat "smoother". I was wondering if there is a way of doing that, without manually resizing the matrix using interpolation.

推荐答案

你可以使用 zsmooth 参数，它可以取三个值('fast', '最佳'，或False).例如:

You can use the zsmooth argument which can take three values ('fast', 'best', or False). For example:

data = [go.Heatmap(z=[[1, 20, 30],
                      [20, 1, 60],
                      [30, 60, 1]],
                   zsmooth = 'best')]
iplot(data)

会给你以下平滑的热图:

Will give you the following smooth heatmap:

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