在查阅“使用Python绘制三元相图”时,我们查阅到了ternary包,该包可实现使用Python绘制三元相图的要求,官网为:https://github.com/marcharper/python-ternary,我们绘制几副官网的图例,其他样例,大家可以参考官网: 样例一:Simplex Boundary and Gridlines 代码语言:javascript 复制 importpandasaspdimportnumpyasnpimportmatp...
Python Ternary plots as projections of Matplotlib matplotlibternary-plots UpdatedApr 27, 2024 Python ms609/Ternary Star30 Code Issues Pull requests Create ternary plots in R graphicsplottingplotting-in-rternary-plots UpdatedJul 5, 2024 R JulesBlm/Old-TernaryPlot.com ...
Curves can be plotted by specifying the points of the curve, just like matplotlib's plot. Simply use: ternary.plot(points) Points is a list of tuples or numpy arrays, such as[(0.5, 0.25, 0.25), (1./3, 1./3, 1./3)],
import numpy as np import matplotlib.pyplot as plt import matplotlib.tri as tri # first load some data: format x1,x2,x3,value test_data = np.array([[0,0,1,0], [0,1,0,0], [1,0,0,0], [0.25,0.25,0.5,1], [0.25,0.5,0.25,1], [0.5,0.25,0.25,1]]) # barycentric coords: ...
When I try and plot with add_patches, I get a Type Error as Polygon can only take two positional arguments but I provide it with three, despite the earlier conversion of ternary to cartesian coordinates. python matplotlib Share Improve this question Follow edited Jul 11 at 15:31 user...
TernaryPlot() Create a blank plot 多子图绘制 代码语言:javascript 复制 par(mfrow=c(2,2),mar=rep(0.5,4))for(dirinc("up","right","down","le")){TernaryPlot(point=dir,atip="A",btip="B",ctip="C",alab="Aness",blab="Bness",clab="Cness")TernaryText(list(A=c(10,1,1),B=c...
import matplotlib.pyplot as plt ## Boundary and Gridlines fig,ax = plt.subplots() scale = 30 figure, tax = ternary.figure(scale=scale,ax=ax) figure.set_size_inches(6, 6) # Draw Boundary and Gridlines tax.boundary(linewidth=1.5) ...
importpandasaspdimportnumpyasnpimportmatplotlib.pyplotasplt ## Boundary and Gridlines fig,ax=plt.subplots()scale=30figure,tax=ternary.figure(scale=scale,ax=ax)figure.set_size_inches(6,6)# Draw Boundary and Gridlines tax.boundary(linewidth=1.5)tax.gridlines(color="black",multiple=6)tax.gridline...
test_plot<-ggtern(data=test_data,aes(x,y,z),size=2)+stat_density_tern(geom='polygon',n=300,aes(fill=..level..,alpha=..level..))+geom_point(size=2.5)+theme_rgbw(base_family="Roboto Condensed")+labs(x="",y="",title="Example Density/Contour Plot: GGtern Test",subtitle="processed...