在 python 中使用 FindPeaks 后如何从信号中提取最大值和最小值

发布于 2025-01-10 01:31:04 字数 370 浏览 2 评论 0原文

使用下面的示例，如何将标记为“顶部”和“底部”的最大值和最小值拉入单独的数组中？

# Load library
import numpy as np
from findpeaks import findpeaks

# Data
i = 10000
xs = np.linspace(0,3.7*np.pi,i)
X = (0.3*np.sin(xs) + np.sin(1.3 * xs) + 0.9 * np.sin(4.2 * xs) + 0.06 * np.random.randn(i))

# Initialize
fp = findpeaks(method='peakdetect')
results = fp.fit(X)
# Plot
fp.plot1d()

原文

Using the example below, how can I pull the max and min values marked as 'Top' and 'Bottom' into a separate array?

# Load library
import numpy as np
from findpeaks import findpeaks

# Data
i = 10000
xs = np.linspace(0,3.7*np.pi,i)
X = (0.3*np.sin(xs) + np.sin(1.3 * xs) + 0.9 * np.sin(4.2 * xs) + 0.06 * np.random.randn(i))

# Initialize
fp = findpeaks(method='peakdetect')
results = fp.fit(X)
# Plot
fp.plot1d()

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却一份温柔 2025-01-17 01:31:04

我假设您使用的是 findpeaks 库 2.4.0。 results 变量已包含 min 和 max 值。您可以通过以下方式获取：

df_interp = results["df"]
min_peaks = df_interp["x"].loc[df_interp["valley"]].values
max_peaks = df_interp["x"].loc[df_interp["peak"]].values
print("min", min_peaks)
print("max", max_peaks)

I assume you're using the findpeaks library 2.4.0. The results variable already contains the min and max value. You can get it as follows:

df_interp = results["df"]
min_peaks = df_interp["x"].loc[df_interp["valley"]].values
max_peaks = df_interp["x"].loc[df_interp["peak"]].values
print("min", min_peaks)
print("max", max_peaks)

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