然后可以按照以下步骤使用Scatter3d类: 导入必要的库: import plotly.graph_objects as go 复制代码 创建一个Scatter3d图表对象: fig = go.Figure(data=go.Scatter3d( x=[1, 2, 3, 4, 5], y=[1, 2, 3, 4, 5], z=[1, 2, 3, 4, 5], mode='markers' )) 复制代码 在这个例子中,我们创...
import plotly.graph_objects as goimport numpy as np# 生成数据x, y, z = np.random.multivariate_normal( mean=[0, 0, 0], cov=np.eye(3), size=200).Tfig = go.Figure()fig.add_trace(go.Scatter3d( x=x, y=y, z=z, mode='markers', marker=dict( size=...
在线编辑器：Plotly 提供了一个在线编辑器（Plotly Dash），用户可以在其中创建和共享交互式图表。Plotly 的基本使用：安装：通过 pip install plotly 命令安装 Plotly Python 库。数据准备：准备需要可视化的数据，可以是 pandas DataFrame、NumPy 数组等。创建图表：使用 Plotly 的函数和类创建图表，如 plotly.express....
import plotly.graph_objects as go # 创建数据 x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] z = [5, 10, 8, 12, 6] # 创建三元散点图 fig = go.Figure(data=[go.Scatter3d( x=x, y=y, z=z, mode='markers', marker=dict( size=12, color=z, # 设置点的颜色为z值 ...
data = [go.Scatter(x = IBM.index, #x轴上放时间数据 y = IBM.values, #y轴上放具体的数据，不建议放series，可以放array mode = 'markers', #画出来的图需要是什么形式的，这里指定了点 name = 'IBM' #这一类数据的类别 )]当data创建好之后，则需要开始创建框架Layout，也就是x轴...
12 trace = go.Scatter3d(13 x=x,14 y=y,15 z=z,16 mode='markers',17 marker=dict(18 size=5,19 color=z, # 根据z值给数据点上色20 colorscale='Viridis'21 )22 )2324 data = [trace]25 layout = go.Layout(26 scene=dict(27 xaxis_title='X轴',28 yaxis...
# Create a 3D scatter plot fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers', marker=dict(size=8, color=z, colorscale='Viridis'))]) # Add title and labels fig.update_layout(title='3D Scatter Plot', scene=dict(xaxis_title='X-axis', yaxis_title='Y-axis',...
fig = go.Figure(data=[go.Scatter3d(x=x_data, y=y_data, z=z_data, mode='markers')]) fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'), title='3D Scatter Plot') fig.show() 以上代码将生成一个简单的三维散点图,展示了随机生成的数据点在三维空间中...
import plotly.graph_objects as go import numpy as np # 生成随机数据 n = 100 x = np.random.rand(n) y = np.random.rand(n) z = np.random.rand(n) # 创建三维散点图 fig = go.Figure(data=[go.Scatter3d( x=x, y=y, z=z, mode='markers', marker=dict( size=12, color=z, # ...
trans = .6 trace1 = go.Scatter3d( x = cluster0["PC1_3d"], y = cluster0["PC2_3d"], z = cluster0["PC3_3d"], mode = "markers", name = "Cluster 0", marker = dict(color = f'rgba(255, 0, 0, {trans})'), text = None) trace2 = go.Scatter3d( x = cluster1["PC1_...