相关疑难解决方法(0)

情节 - 不同表面的不同颜色

使用plotly我希望每个表面都有不同的颜色.

library(plotly)
t1 <- seq(-3, 3, 0.1); t2 <- seq(-3, 3, 0.1)

p1 <- matrix(nrow = length(t1), ncol = length(t2))
p2 <- matrix(nrow = length(t1), ncol = length(t2))

p8a1 <- 1.2
p8a2 <- 1
p8d <- -1
p8b1 <- 0.7
p8b2 <- 0.6

for (i in 1:length(t2)) {
   for (j in 1:length(t1)) {
      p1[i, j] <- 1 / (1 + exp(-1.7 * (p8a1 * t1[j] + p8a2 * t2[i] + p8d)))
      p2[i, j] <- (1 / (1 + …
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r plotly

6
推荐指数
1
解决办法
1084
查看次数

Plotly:如何更改 3D 曲面图的配色方案?

我想更改plotly python 中3D 曲面图的配色方案。Plotly 默认分配配色方案,如下图所示。

地块1

这是我的代码

import import plotly.graph_objects as go
import pandas as pd

data = pd.read_csv('\Data.csv')
data.set_index("years", inplace = True)
figure = go.Figure(data=[go.Surface(z=data.values)])
figure.update_layout(
            scene = dict(
                xaxis = dict(
                    title = 'Months',
                    #nticks = 5,
                    autorange='reversed',
                    showgrid=True, 
                    gridwidth=1, 
                    gridcolor='Blue',
                    ticktext = data.columns,
                    tickvals= list(range(0,data.shape[1]))),
                
                    
                yaxis = dict(
                    title = 'years',
                    showgrid=True, 
                    gridwidth=1, 
                    gridcolor='Blue',
                    ticktext = data.index,
                    tickvals= list(range(0,data.shape[0]))),
              
                zaxis = dict(
                    title = 'Discharge (Cumecs)',
                    #showgrid=True, 
                    gridwidth=1,
                    gridcolor='Blue')),
           tilte = 'Plot 1'
)
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python plotly plotly-python

4
推荐指数
1
解决办法
4799
查看次数

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