資源簡介
對數據集繼續高斯或者均值濾波。將離奇點數據進行過濾
代碼片段和文件信息
#?-*-?coding:?utf-8?-*-
“““
Created?on?Fri?Jul?12?19:42:13?2019
調用高斯函數和中值函數進行濾波
@author:?1701
“““
import?pandas?as?pd
import?matplotlib.pyplot?as?plt
import?numpy?as?np
from?scipy?import?signal?
from?scipy.fftpack?import?fft?fftshift
from?scipy.ndimage?import?filters
from?pylab?import?*
mpl.rcParams[‘font.sans-serif‘]?=?[‘SimHei‘]
obj=pd.read_csv(‘C:\\Users\\1701\Desktop\\result1.csv‘)
WIND=obj[‘WIND_SPEED‘]
POWER=obj[‘REAL_POWER‘]
im?=?np.array(POWER)
im4=list(im)
#進行σ?=?2的高斯濾波
?#im2?=?filters.gaussian_filter(im425)
#中值濾波
data_F=signal.medfilt(im427)#?只能以奇數進行賦值
#plt.scatter(WINDdata_Fc=‘r‘)
data_yuan=pd.read_csv(‘C:\\Users\\1701\Desktop\\wt09283.csv‘)
plt.scatter(data_yuan[
評論
共有 條評論