Python 機器學習: 距離導向聚類法(k-Means 演算法), 如何繪製3D散佈圖? spyder無法用滑鼠改變3D圖的視角該如何處理? %matplotlib qt

k-Means 演算法:

k種聚類, k怎麼取?

https://pse.is/3x8g3y

測試資料:

chinese	english	math
100	86	91
30	55	45
50	75	42
62	85	93
98	100	99
71	53	56
60	60	51

 

import pandas as pd
import matplotlib.pyplot as plt

fpath = r”C:\Python\P107\doc\student_grades.csv”
df = pd.read_csv(fpath)
print(df)

lisChi = df[“chinese”].tolist()
lisEng = df[“english”].tolist()
lisMath= df[“math”].tolist()

fig = plt.figure()
ax = plt.axes( projection = “3d”)
#官網建議要放參數的話使用 plt.axes()
#或 plt.subplot(projection=”3d”)

ax.scatter(lisChi, lisEng, lisMath,
label = “students’ Grade distribution”,
color = “#ff00ff”, marker= “^”)

ax.set_xlabel(“Chinese”)
ax.set_ylabel(“English”)
ax.set_zlabel(“Math”)

for i in range(len(lisChi)):
    textLabel = “(%d,%d,%d)” \
    %(lisChi[i], lisEng[i], lisMath[i])
    ax.text(lisChi[i],lisEng[i],lisMath[i],
    s=textLabel)

ax.legend(loc=”best”)
plt.show()
“””
spyder內嵌的靜態圖片無法用滑鼠改變視角
console中輸入:
%matplotlib qt
再執行py檔,會生出可互動的獨立視窗
%matplotlib inline
切換回原本的內嵌模式
“””

print(df):

%matplotlib qt

可互動的3D散佈圖:

 

%matplotlib inline

內嵌無法互動的靜態3D散佈圖:

推薦hahow線上學習python: https://igrape.net/30afN