用Python绘制，Peicewise，Holoveiws，Bokeh，热图

Question

我需要区分我的热图中的非物理数据。我正在使用python（bokeh和holoviews）。

示例代码：

import numpy as np
import holoviews as hv
import warnings\
warnings.filterwarnings("ignore")
hv.extension('bokeh')
%opts Image [colorbar=True tools=['hover']
%opts Image (cmap='rainbow')
%output max_frames=3000
import Definitions as def #these are my equations

a = 2
b = .2
c = .3
d = .4
e = 0
f = 0
g = 0 
h = 0
i = .2
j = 0
l = .2
m = 1


N = 100 # number of points

yval = np.linspace(0.1,1,N)
xval = np.linspace(0,5,N)
bounds = (0,.1,5,1) #this sets the bounds from .1 to 1 on y axis and 0 to 5 on x axis

xval,yval = np.meshgrid(xval, yval, indexing 'xy')


v1val = def.v1(yval,b,a,m,l,xval)  #Calling my these definitions from a seperate file
v2val = def.v2(b,m,a)




Zlist = def.Z(a,v2val/d,v2val/c,h,e,i,j,xval,l,v1val,f,g)


plot = hv.Image(np.flipud(Zlist), label = "Z Heat Map" \
                   ,bounds = bounds, vdims = hv.Dimension('Z', range=(0,1))).redimlabel(x = 'x', y = 'y')

plot

此代码生成一个热图，其中函数Z的值被映射为x和y区域的颜色。因此Z取决于x和y，并且对于x和y的不同值，Z将具有不同的颜色。

我的问题：我需要区分v1val c的数据，并可能为对应于v1val

我一直在尝试不同的事情，但是每次我有一个主意时，我都会收到一个错误，例如“具有多个元素的数组的值的真相模棱两可。请使用a.any（）或a.all（）

非常希望帮助您屏蔽这些非物理数据。

Answer 1

您可以在http://pyviz.org/tutorial/01_Workflow_Introduction.html中查看如何涂黑或涂白热图区域：

def nansum(a, **kwargs):
    return np.nan if np.isnan(a).all() else np.nansum(a, **kwargs)

heatmap = df.hvplot.heatmap('Year', 'State', 'measles', reduce_function=nansum)