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PQ3000导出格式：CSV（时间戳+各通道电压/电流/功率/谐波）、COMTRADE（录波文件）、PQAnalyzer原生格式。

环境搭建：pip install pandas numpy matplotlib scipy

数据读取：

```python

import pandas as pd

import numpy as np

from scipy import fft

df = pd.read_csv('pq3000_data.csv', parse_dates=['Time'])

df = df.fillna(method='ffill')

df.set_index('Time', inplace=True)

```

谐波分析：

```python

u_a = df['U_A'].values

N = len(u_a)

T = 1.0 / 51200

yf = fft.fft(u_a)

xf = np.fft.fftfreq(N, T)[:N//2]

harmonics = {}

for i in range(1, 51):

idx = np.argmin(np.abs(xf - i * 50))

harmonics[i] = 2.0/N * np.abs(yf[idx])

fundamental = harmonics[1]

h_sum = np.sqrt(sum([h**2 for h in harmonics.values() if h != fundamental]))

thd = h_sum / fundamental * 100

print(f"THD = {thd:.2f}%")

```

电压暂降检测：

```python

u_rms = df['U_A_RMS']

threshold = 0.9 * u_rms.mean()

dips = u_rms < threshold

from scipy import ndimage

labeled, num_features = ndimage.label(dips)

print(f"共检测到 {num_features} 次电压暂降")

```

PQ3000的开放数据格式+Python生态，让电能质量分析从"封闭"到"开放"。