Axes3D.text（）注释3D散点图

Question

无法使3D文本工作以注释散点图点。

尝试过Axes3D.text，plt.text，但仍然得到'缺少必需的位置参数'。 你如何在循环中注释3D？

from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
import pandas as pd
import numpy as np

df = pd.read_csv (r'J:\Temp\Michael\Python\9785.csv')

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

#Scatter plot
for i in df.index:
    x = df.at[i,'x']
    y = df.at[i,'y']
    z = df.at[i,'h']
    ax.scatter(xs=x, ys=y, zs=z, s=20,color='red',marker='^')
    label = df.at[i,'to']
    Axes3D.text(x+0.8,y+0.8,z+0.8, label, zdir=x)

TypeError：text（）缺少1个必需的位置参数：'s'

Answer 1

更改：ax = fig.add_subplot（111，projection ='3d'）

to：ax = fig.gca（projection ='3d'）

解决了这个问题。 使用了ax.text。

from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
import pandas as pd
import numpy as np

df = pd.read_csv (r'J:\Temp\Michael\Python\9785.csv')

fig = plt.figure()
ax = fig.gca(projection='3d')

#Scatter plot
for i in df.index:
    df.set_index('to')
    x = df.at[i,'x']
    y = df.at[i,'y']
    z = df.at[i,'h']
    ax.scatter(xs=x, ys=y, zs=z, s=20,color='red',marker='^')
    ax.text(x+0.8,y+0.8,z+0.8, df.at[i,'to'], size=10, zorder=1)