from mpl_toolkits.mplot3d.text import Text3D
时间: 2023-12-09 15:05:11 浏览: 28
I'm sorry, as an AI language model, I do not have the ability to import modules or execute code. However, I can tell you that the `Text3D` class in the `mpl_toolkits.mplot3d.text` module is used to create 3D text annotations in Matplotlib plots. It takes in the text string, position coordinates, and optional font properties as inputs.
相关问题
import random fig = plt.figure(figsize=(13,13)) ax = fig.add_subplot(111,projection='3d') colors = ['r', 'g', 'b', 'c', 'm'] for i in new_df.index: ax.scatter(new_df.loc[i,'Total Cases'],new_df.loc[i,'Total Deaths'],new_df.loc[i,'Total Recovered'],c=random.choice(colors)) ax.text(new_df.loc[i,'Total Cases'],new_df.loc[i,'Total Deaths'],new_df.loc[i,'Total Recovered'], new_df.loc[i,'Country/Region'], fontsize=10) # 设置刻度 ax.set_xlim([0,new_df['Total Cases'].max() + 1]) ax.set_ylim([0,new_df['Total Deaths'].max() + 1]) ax.set_zlim([0,new_df['Total Recovered'].max() + 1]) # 设置坐标轴标签 ax.set_xlabel('Total Cases',fontsize=15) ax.set_ylabel('Total Deaths',fontsize=15) ax.set_zlabel('Total Recovered',fontsize=15) ax.set_title('3D scatterplot',fontsize=25) plt.show()这段代码无法运行
这段代码无法运行可能是因为缺少必要的模块和变量,需要先导入相关的库和数据集,才能正确运行。以下是一个示例代码,您可以根据自己的需要进行修改和调整:
```
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import random
# 导入数据集
df = pd.read_csv('covid19_data.csv')
# 对数据进行处理
new_df = df.groupby(['Country/Region']).sum().reset_index()
# 创建3D散点图
fig = plt.figure(figsize=(13,13))
ax = fig.add_subplot(111,projection='3d')
# 绘制散点图并添加文本标注
colors = ['r', 'g', 'b', 'c', 'm']
for i in new_df.index:
ax.scatter(new_df.loc[i,'Total Cases'],new_df.loc[i,'Total Deaths'],new_df.loc[i,'Total Recovered'],c=random.choice(colors))
ax.text(new_df.loc[i,'Total Cases'],new_df.loc[i,'Total Deaths'],new_df.loc[i,'Total Recovered'], new_df.loc[i,'Country/Region'], fontsize=10)
# 设置刻度
ax.set_xlim([0,new_df['Total Cases'].max() + 1])
ax.set_ylim([0,new_df['Total Deaths'].max() + 1])
ax.set_zlim([0,new_df['Total Recovered'].max() + 1])
# 设置坐标轴标签
ax.set_xlabel('Total Cases',fontsize=15)
ax.set_ylabel('Total Deaths',fontsize=15)
ax.set_zlabel('Total Recovered',fontsize=15)
ax.set_title('3D scatterplot',fontsize=25)
plt.show()
```
请确保您已经正确导入了相关的库和数据集,并将数据集命名为'covid19_data.csv',否则会导致代码无法运行。
import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib.animation import FuncAnimation plt.rcParams['font.sans-serif']=['SimHei'] # 运行配置参数中的字体(font)为黑体(SimHei) plt.rcParams['axes.unicode_minus']=False # 运行配置参数总的轴(axes)正常显示正负号(minus) # 无人机运动轨迹数据 latitudes = np.sin(np.linspace(0, 2*np.pi, 100)) longitudes = np.cos(np.linspace(0, 1*np.pi, 100)) altitudes = np.linspace(100, 500, 100) # 构建3D坐标系 fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # 设置坐标轴标签和范围 ax.set_xlabel('纬度纬度纬度') ax.set_ylabel('经度经度经度') ax.set_zlabel('海拔海拔海拔') ax.set_xlim(-1, 1) ax.set_ylim(-1, 1) ax.set_zlim(min(altitudes), max(altitudes)) # 让用户输入A点的经纬度数据 A_latitude, A_longitude = float(input("请输入A点的纬度: ")), float(input("请输入A点的经度: ")) A_altitude = float(input("请输入A点的海拔: ")) # 将A点用蓝色三角号显示出来 ax.plot([A_latitude], [A_longitude], [A_altitude], marker='^', markersize=10, color='blue') # 定义绘制函数 def update(frame): ax.plot(latitudes[:frame+1], longitudes[:frame+1], altitudes[:frame+1], c='b') # 添加连线 ax.scatter(latitudes[frame], longitudes[frame], altitudes[frame], c='r') # 保留散点 return [line for line in ax.artists] # 返回所有绘制对象,以便更新时重新绘制它们 # 创建动画,加快一倍速度 ani = FuncAnimation(fig, update, frames=len(latitudes), interval=500) # 显示动画 plt.show()给这段代码A点加一个标注为:车
好的,您可以在代码中这样修改:
```python
# 将A点用蓝色三角号显示出来,标注为“车”
ax.plot([A_latitude], [A_longitude], [A_altitude], marker='^', markersize=10, color='blue')
ax.text(A_latitude, A_longitude, A_altitude, '车', color='blue')
```
这样就可以在A点处添加一个标注“车”了。
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