将X轴值添加到图中的峰

发布于 2025-01-23 03:51:01 字数 482 浏览 1 评论 0原文

亲爱的stackoverflow家族，

我一直在尝试将X轴值放在图中检测到的峰的顶部或位于图中检测到的峰值。基本上，首先，我使用该函数在频谱中找到峰。然后，我想使用这些与峰一致的X轴值，而不仅仅是放置“ X”或任何类型的符号。

感谢您的任何帮助或建议。

代码；

    peaks, properties = find_peaks(meanMat1, prominence=1, width=4)
    peak_coordinates = list(zip(Ram[peaks], a[peaks])) 
    
    print(peak_coordinates)
   
    d=Ram[peaks]
    e=c[peaks]
    
    ax.plot(d, e, "x", color = "xkcd:orange")

（在这里，D和E是被检测到的峰。D和E分别给出X轴和Y轴值（在NP.Array中）。）。

原文

Dear StackOverflow family,

I have been trying to put the x-axis values next to, or at the top of the peaks that are detected in the graph. Basically, first I used the function to find the peaks in the spectrum. Then, I want to use these x-axis values that coincide with the peaks, not just only putting "x", or any kind of symbol.

Thank you for any kind of help or suggestion.

The codes;

    peaks, properties = find_peaks(meanMat1, prominence=1, width=4)
    peak_coordinates = list(zip(Ram[peaks], a[peaks])) 
    
    print(peak_coordinates)
   
    d=Ram[peaks]
    e=c[peaks]
    
    ax.plot(d, e, "x", color = "xkcd:orange")

(Here, d and e are the peaks that are detected. d and e give x-axis and y-axis values (in np.array), respectively.)

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吃→可爱长大的 2025-01-30 03:51:01

您可以使用matplotlib 要添加一个字符串，或者在您的特殊情况下，x轴值，将x轴值，x（您的示例中的d）添加到轴上）y（e在您的示例中）在数据坐标中。

import matplotlib.pyplot as plt
from scipy.signal import find_peaks
import numpy as np

# curve setup
x = np.linspace(0,10*np.pi,200)
fx = np.sin(2*x)*np.cos(x/2)*np.exp(-0.1*x)

peaks, _ = find_peaks(fx, prominence=0.4)
peak_coordinates = list(zip(peaks, fx[peaks]))

fig, ax = plt.subplots()
ax.plot(fx)
ax.plot(peaks, fx[peaks], "x")

y0,y1=ax.get_ylim()
ax.set_ylim(y0,y1*1.1) # fix top y-limit

for xp,yp in peak_coordinates:
    plt.text(xp*1.05, yp*1.05, xp, fontsize=10)

plt.show()

You can use Matplotlib text to add a string, or, in your particular case the x-axis values, to the Axes at location x (d in your example), y (e in your example) in data coordinates.

import matplotlib.pyplot as plt
from scipy.signal import find_peaks
import numpy as np

# curve setup
x = np.linspace(0,10*np.pi,200)
fx = np.sin(2*x)*np.cos(x/2)*np.exp(-0.1*x)

peaks, _ = find_peaks(fx, prominence=0.4)
peak_coordinates = list(zip(peaks, fx[peaks]))

fig, ax = plt.subplots()
ax.plot(fx)
ax.plot(peaks, fx[peaks], "x")

y0,y1=ax.get_ylim()
ax.set_ylim(y0,y1*1.1) # fix top y-limit

for xp,yp in peak_coordinates:
    plt.text(xp*1.05, yp*1.05, xp, fontsize=10)

plt.show()