Python Streudiagramm und Matplotlib

Question

Ich habe ein Streudiagramm in Python, auf dem ich eine Trendlinie zeichnen möchte. Von den verschiedenen Beispielen habe ich um das Internet gefunden zu lernen, wie die Trendlinie zu zeichnen meinen Code ist folgende:

import matplotlib.pyplot as plt 
import numpy as np 

x=np.array([9.80,13.20,13.46,14.09,13.96,10.77,8.79,8.61,8.83,11.08,10.13,12.40,9.90,10.96,12.75,11.79,11.79,12.38,12.78,13.08,12.83,12.57,12.96,12.90,12.91,13.67,12.83,12.50,12.42,12.83,12.82,12.70,12.60,12.90,13.20]) 
y=np.array([0.0706,0.0969,0.0997,0.1031,0.0848,0.1044,0.0815,0.1030,0.0783,0.0970,0.1193,0.0796,0.0697,0.0738,0.0895,0.0912,0.0887,0.0973,0.0942,0.1052,0.0984,0.0965,0.0903,0.0876,0.1071,0.0872,0.0857,0.0967,0.0926,0.0837,0.0967,0.0935,0.0946,0.0930,0.0758 
]) 

plt.scatter(x, y) 
fit = np.polyfit(x, y, deg=4) 
p = np.poly1d(fit) 
plt.plot(x,p(x),"r--") 
plt.show() 

Aber das Ergebnis Linie stattdessen eine Kurvenlinie des Seins ist nur eine Mischung aus Linien. Kann mir bitte jemand meinen Fehler erklären?

Answer 1

Ich denke, es ist, weil x Werte nicht sortiert sind. Schauen Sie sich diesen Code:

import matplotlib.pyplot as plt 
import numpy as np 

x=np.array([9.80,13.20,13.46,14.09,13.96,10.77,8.79,8.61,8.83,11.08,10.13,12.40,9.90,10.96,12.75,11.79,11.79,12.38,12.78, 
      13.08,12.83,12.57,12.96,12.90,12.91,13.67,12.83,12.50,12.42,12.83,12.82,12.70,12.60,12.90,13.20]) 

y=np.array([0.0706,0.0969,0.0997,0.1031,0.0848,0.1044,0.0815,0.1030,0.0783,0.0970,0.1193,0.0796,0.0697,0.0738, 
      0.0895,0.0912,0.0887,0.0973,0.0942,0.1052,0.0984,0.0965,0.0903,0.0876,0.1071,0.0872,0.0857,0.0967,0.0926,0.0837,0.0967,0.0935,0.0946,0.0930,0.0758 ]) 

# Here I sort x values and their corresponding y values 
args = np.argsort(x) 
x = x[args] 
y = y[args] 

plt.scatter(x, y) 
fit = np.polyfit(x, y, deg=4) 
p = np.poly1d(fit) 
plt.plot(x,p(x),"r--") 
plt.show() 

Ergebnis:

Answer 2

Dies tun:

plt.scatter(x,y) 
x = sorted(x) 
plt.plot(x,p(x),"r--") 

Der Trick ist x Werte zu sortieren, bevor Zeile über Plotten Sie.