Output("scatter-plot", "figure"), [Input("range-slider", "value")]) def update_bar_chart(slider_range): low, high = slider_range mask = (df.petal_width > low) & (df.petal_width < high) fig = px.scatter_3d(df[mask], x='sepal_length', y='sepal_width', z='petal_width',...
import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D def scatter(): # 数据大小 n = 1024 # 生成 n 个X值,符合标准正态分布 X = np.random.normal(0, 1, n) # 生成 n 个Y值,符合标准正态分布 Y = np.random.normal(0, 1, n) # 根据...
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...
ax.set_title('3D Scatter Plot')plt.show() # Call this last to ensure the plot is displayed in the notebook cell output area (if using Jupyter notebook) or in the GUI (if using a regular Python IDE) before executing the next line of code in the cell which would overwrite the existi...
df.plot.scatter('Healthy_life_expectancy_at_birth','Log_GDP_per_capita')我们可以看到这2个特征...
2. 3D散点图(3D Scatter Plot) 用于可视化三维数据的散点图,通过在三维空间中绘制数据点来展示数据的分布。 代码语言:javascript 复制 import matplotlib.pyplot as plt import numpy as np # 数据准备 x = np.random.rand(100) # x轴数据 y = np.random.rand(100) # y轴数据 z = np.random.rand(100...
为了使用scatter函数绘制两幅三维散点图,我们需要遵循以下步骤: 导入必要的Python库: 首先,我们需要导入matplotlib库,它是Python中一个非常流行的绘图库。 python import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D 准备两组三维数据: 我们需要准备两组三维数据,每组数据包含x、y、z三个...
ax.plot(x, y, z, label='parametric curve') ax.legend() plt.show() ➤02绘制Scatter 利用和上面的相同的绘制命令,将原来的plot3D修改成为 scatter即可。 frommpl_toolkits.mplot3dimportaxes3d ax = plt.axes(projection='3d') angle = linspace(0,2*pi*5,40) ...
], size=12) ax = plt.subplot(projection = '3d') # 创建一个三维的绘图工程 ax.scatter(df[...
Demonstration of a basic scatterplot in3D.'''from mpl_toolkits.mplot3dimportAxes3Dimportmatplotlib.pyplot as pltimportnumpy as np defrandrange(n, vmin, vmax):'''Helper function to make an array of random numbers havingshape(n, ) with each number distributedUniform(vmin, vmax).'''return(vma...