(1, 2, 3, 4, 5, 2, 3, 4, 5, 6, 3, 4, 5, 6, 7, 4, 5, 6, 7, 8, 5, 6, 7, 8, 9), nrow = 5, ncol = 5, byrow = TRUE), type = "surface") %>% # 添加数据点 add_markers(x = c(2, 4), y = c(3, 4), z = c(4, 6), color = I("red")) %>...
import plotly.graph_objects as go import numpy as np # 生成示例数据 x = np.linspace(-5, 5, 100) y = np.linspace(-5, 5, 100) x, y = np.meshgrid(x, y) z = np.sin(np.sqrt(x**2 + y**2)) # 创建3D曲面图 fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)]) # ...
x=np.linspace(-5,5,100)y=np.linspace(-5,5,100)x,y=np.meshgrid(x,y)z=np.sin(np.sqrt(x**2+y**2))# 创建3D曲面图 fig=go.Figure(data=[go.Surface(z=z,x=x,y=y)])# 添加标题和标签 fig.update_layout(title='3D Surface Plot',scene=dict(xaxis_title='X-axis',yaxis_title='Y...
x=np.linspace(-5,5,100)y=np.linspace(-5,5,100)x,y=np.meshgrid(x,y)z=np.sin(np.sqrt(x**2+y**2))# 创建3D曲面图 fig=go.Figure(data=[go.Surface(z=z,x=x,y=y)])# 添加标题和标签 fig.update_layout(title='3D Surface Plot',scene=dict(xaxis_title='X-axis',yaxis_title='Y...
# Create a 3D surface plot fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)]) # Add title and labels fig.update_layout(title='3D Surface Plot', scene=dict(xaxis_title='X-axis', yaxis_title='Y-axis', zaxis_title='Z-axis')) ...
‘contour’,+’scatter3d’,’surface’,’mesh3d’,scattergeo’,’choropleth’# group指定分组变量;# color指定颜色变量;colors指定具体的颜色;colors可以是RColorBrewer包中的调色板颜色,也可以是十六进制的 “#RRGGBB” 格式;# symbol指定符号变量;symbols指定具体的符号类型,比如 ‘dot’, ‘cross’,‘diamond...
z = np.sin(np.sqrt(x**2+ y**2))# 创建3D曲面图fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)])# 添加标题和标签fig.update_layout(title='3D Surface Plot', scene=dict(xaxis_title='X-axis', yaxis_title='Y-axis', zaxis_title='Z-axis'))# 显示图表fig.show() ...
fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)]) fig.update_layout(title='3D Surface Plot', scene=dict(xaxis_title='X-axis', yaxis_title='Y-axis', zaxis_title='Z-axis')) fig.show() 1. 2. 3. 4. 5. 6. 7.
‘triangle-left’, ‘triangle-right’,‘triangle-up’;# size指定尺寸变量# alpha指定透明度``` add_trace():类似于geom_/stat_.用来在已有图形上添加新的图形,基本语法格式如下: ```{r}add_trace(p=last_plot(),...,group,color,colors,symbol,symbols,+size,data=NULL,evaluate=FALSE)``` layout()...
Plot 和 3D Surface Plot 以及如何在 Plotly 的帮助下制作它们的信息。 3D 散点图 三维(3D) 散点图类似散点图,但三个变量 – x、y 和 z 或 f(x, y)是实数。该图可以表示为三维笛卡尔坐标系中点。它通常使用透视方法(等距或透视)绘制二维页面或屏幕上,因此其中一个维度似乎是从页面中出来的。