如何在散點圖中以均勻間隔更改 x 軸值？ (How to change x axis value with even interval in scatter plot?)

問題描述

如何在散點圖中以均勻間隔更改 x 軸值？ (How to change x axis value with even interval in scatter plot?)

x = [101.52762499 105.79521102 103.5158705   93.55296605 108.73719223 98.57426097  98.73552014  79.88138657  91.71042366 114.15815465]
y = [107.83168825  93.11360106 102.49196148  97.84879532 114.41714004 97.39079067 111.35664058  76.97523782  88.63047332  90.11216039]

我想做一個散點圖，它顯示回歸線，其中 x 值均勻地跨越 100 個區間，從 x 數據的最小值到最大值。

我該用什麼代碼需要用來改變 x 軸嗎？

m,c = np.polyfit(x,y,1) #this is to find the best fit line
plt.plot(x, m*x + c) # this to plot the best fit line
plt.plot(x,y,'o') # this is to plot in 

我厭倦了使用 plt.xticks(0,200) 但它給了我一個錯誤信息

TypeError: object 'int' 類型的沒有 len()

參考解法

方法 1:

The following code puts x ticks to create 100 equally‑sized intervals between the first and last value.

import numpy as np

from matplotlib import pyplot as plt

x = np.array([101.52762499, 105.79521102, 103.5158705, 93.55296605, 108.73719223, 98.57426097, 98.73552014, 79.88138657, 91.71042366, 114.15815465])

y = np.array([107.83168825, 93.11360106, 102.49196148, 97.84879532, 114.41714004, 97.39079067, 111.35664058, 76.97523782, 88.63047332, 90.11216039])
m, c = np.polyfit(x, y, 1)  # this is to find the best fit line

plt.figure(figsize=(15, 4))

plt.plot(x, m * x + c)  # this to plot the best fit line

plt.plot(x, y, 'o')  # this is to plot in
bins = np.linspace(x.min(), x.max(), 101) # 100 equally‑sized intervals

plt.xticks(bins, rotation=90)

plt.grid(True, axis='x') # the grid lines show the 100 intervals of the xticks

plt.margins(x=0.02) # less whitespace left and right

plt.tight_layout()

plt.show()

</code></pre>
(by Gen、JohanC)
參考文件


How to change x axis value with even interval in scatter plot? (CC BY‑SA 2.5/3.0/4.0)