平滑地绘制热图

问题描述

我想使用plotly创建一个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:

我要平滑正方形的颜色，以使图像中相邻正方形之间的过渡有些平滑".我想知道是否有一种方法，而无需使用插值来手动调整矩阵大小.

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

您可以使用zsmooth参数，该参数可以采用三个值('fast'，'best'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)

将为您提供以下平滑的热图:

Will give you the following smooth heatmap:

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