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img_psd_maker_v2.py
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img_psd_maker_v2.py
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import os
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import argparse as argp
from scipy.stats import kde
import matplotlib.dates as mdates
# from obspy.imaging.cm import viridis
# from obspy.imaging.cm import pqlx
import datetime as dt
import sys
import re
import time
import copy
import math
fPixelPerInchVal = 0.026458333 * 0.393701
nDpiVal = 96
grp_cnt = 5
#python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS/2019/332/KS.SEO2.HHZ.2019.332.00.00.00.hour.bin -ii=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS/2019/332/KS.SEO2.HHZ.2019.332.00.00.00.hour.idx -o=C:/Users/winekein/Desktop/KS.SEO2.HHZ.2019.332.00.00.00.png -j=332 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/320/KS.SEO2.HHZ.2019.320.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/320/KS.SEO2.HHZ.2019.320.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.320.00.00.00.png -j=320 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/321/KS.SEO2.HHZ.2019.321.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/321/KS.SEO2.HHZ.2019.321.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.321.00.00.00.png -j=321 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/322/KS.SEO2.HHZ.2019.322.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/322/KS.SEO2.HHZ.2019.322.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.322.00.00.00.png -j=322 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/323/KS.SEO2.HHZ.2019.323.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/323/KS.SEO2.HHZ.2019.323.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.323.00.00.00.png -j=323 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/324/KS.SEO2.HHZ.2019.324.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/324/KS.SEO2.HHZ.2019.324.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.324.00.00.00.png -j=324 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/325/KS.SEO2.HHZ.2019.325.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/325/KS.SEO2.HHZ.2019.325.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.325.00.00.00.png -j=325 -y=2019 -n=KS -s=SEO2 -c=HHZ
# python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/DATA/temp/PSD/KS/2019/326/KS.SEO2.HHZ.2019.326.00.00.00.hour.bin -ii=D:/Project/EQM/DATA/temp/PSD/KS/2019/326/KS.SEO2.HHZ.2019.326.00.00.00.hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.326.00.00.00.png -j=326 -y=2019 -n=KS -s=SEO2 -c=HHZ
# 테스트용 스크립트
#python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS/2019/320/KS.SEO2.HHZ.2019.320.00.00.00.hour.bin -ii=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS/2019/320/KS.SEO2.HHZ.2019.320.00.00.00.hour.idx -o=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS.SEO2.HHZ.2019.320.00.00.00.png -j=320 -y=2019 -n=KS -s=SEO2 -c=HHZ
#python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/PSD_KS.SEO2.HHZ.2019.328.00.00.00.hour.bin -ii=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/PSD_KS.SEO2.HHZ.2019.328.00.00.00.hour.idx -o=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD/KS.SEO2.HHZ.2019.328.00.00.00.png -j=328
#python d:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/img_psd_maker_v2.py -ib=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/PSD_KS.SEO2.HGZ.2019.323.00.00.00.hour.bin -ii=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/hour.idx -o=D:/Project/EQM/eqm-server/src/pyModule/img_amplitude_maker/KS.SEO2.HHZ.2019.020.00.00.00.png -j=323
# python img_psd_maker.py -ib=D:/Project/EQM/DATA/Y2019/HOUR/H020.bin -ii=D:/Project/EQM/DATA/Y2019/HOUR/hour.idx -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.020.00.00.00.png -j=020
#python img_psd_maker.py -i=D:/Project/EQM/DATA/Y2019/HOUR -o=D:/Project/EQM/DATA/KS.SEO2.HHZ.2019.020.00.00.00.png -j=020
#python img_psd_maker.py -fp=D:\Project\EQM\DATA\Y2019/HOUR -o=KMA -y=2019 -j=020 -n=KS -s=SEO2 -c=HHZ -sp=D:\Project\EQM\DATA -it=day -gc=5
#python img_psd_maker.py --filepath=D:\Project\EQM\DATA\Y2019/HOUR --org=KMA --jday=2019/065 --net=* --sta=* --chn=* --savepath=D:\Project\EQM\DATA --interval_type=day --grp_cnt=5
def CheckArguments(args) :
arguments = dict(args._get_kwargs())
errMsg = ""
for k, v in arguments.items() :
if v is None :
if len(errMsg) <= 0 :
errMsg = "Not enough Arguments!!!\nCheck Arguments List : "
else :
errMsg += ", "
errMsg += "--" + k
return errMsg
def Split_Data(data, sep) :
arr = []
if data :
arr = data.split(sep)
# if data.find(sep) >= 0 :
# arr = data.split(sep)
# else :
# arr = data.split()
return arr
def GetArraySize(data) :
size = data.__len__()
if size == 1 :
if len(data[0]) == 0 :
size = 0
return size
def GetDirectoryList(chk_path) :
dir_lst = ""
current_path = os.getcwd()
os.chdir(chk_path)
dir_lst = [chk_path for chk_path in os.listdir('.') if os.path.isdir(chk_path)]
# print(os.getcwd())
# print(chk_path)
os.chdir(current_path)
return dir_lst
def GetFileList(chk_path) :
file_lst = []
# current_path = os.getcwd()
# os.chdir(chk_path)
file_lst = os.listdir(chk_path)
file_lst = [file for file in file_lst if file.endswith(".00.00.00")]
# os.chdir(current_path)
# print(file_lst)
return file_lst
def UpdateFileList(file_lst, chk_type, chk_value) :
if file_lst :
for file_lst_idx in range(GetArraySize(file_lst) - 1, -1, -1) :
chk_data = Split_Data(file_lst[file_lst_idx], ".")
if chk_data :
if chk_type == "net" :
if not chk_value == chk_data[0] :
del file_lst[file_lst_idx]
# print(file_lst)
elif chk_type == "sta" :
if not chk_value == chk_data[1] :
del file_lst[file_lst_idx]
# print(file_lst)
elif chk_type == "chn" :
chk_data_chn = Split_Data(chk_data[2], "_")
# print("chk_data[2] = " + chk_data[2] + " , chk_data_chn[0] = " + str(chk_data_chn[0]))
if not chk_value == chk_data_chn[0] :
del file_lst[file_lst_idx]
# print(file_lst)
elif chk_type == "loc" :
chk_data_loc = Split_Data(chk_data[2], "_")
#print("chk_data[2] = " + chk_data[2] + " , GetArraySize(chk_data_loc) = " + str(GetArraySize(chk_data_loc)))
if chk_value == "None" : ### loc 가 없는 데이터 처리
if not GetArraySize(chk_data_loc) == 1 :
del file_lst[file_lst_idx]
else :
if GetArraySize(chk_data_loc) == 2 :
if not chk_value == chk_data_loc[1] :
del file_lst[file_lst_idx]
else :
del file_lst[file_lst_idx]
# print(file_lst)
return file_lst
def findFile(root_path, filename) :
retFileName = ""
# for (path, dirname, files) in os.walk(root_path) :
for (path, files) in os.walk(root_path) :
for f in files :
findname = path + '/' + f
if findname == filename :
retFileName = findname
break
return retFileName
def createDirectory(directory) :
try:
if not os.path.exists(directory) :
os.makedirs(directory)
except OSError :
print('Error: Creating directory : ' + directory)
def removeFile(file) :
try:
if os.path.isfile(file) :
os.remove(file)
except OSError :
print('Error: Remove File : ' + file)
# def Proc_Spectrum(binfilepath, savepath, org, jday_split, net, sta, chn, loc, grouping_cnt, title, fig_size_x, fig_size_y) :
# def Proc_Spectrum() :
# def Proc_Spectrum(orgfilepath, savepath, org, year, jday_split, net, sta, chn, loc, interval_type, grp_cnt) :
def Proc_Spectrum(input_path_bin, input_path_idx, output_file, jday, year, net, sta, chn, loc) :
### 상대 경로를 절대 경로로 변환
sModulePath = os.getcwd()
sModulePath = sModulePath.replace("\\", "/")
if input_path_bin[0] != '/' and ( input_path_bin[1] != ':' and input_path_bin[2] != '/' ) :
input_path_bin = sModulePath + "/" + input_path_bin
if input_path_idx[0] != '/' and ( input_path_idx[1] != ':' and input_path_idx[2] != '/' ) :
input_path_idx = sModulePath + "/" + input_path_idx
if output_file[0] != '/' and ( output_file[1] != ':' and output_file[2] != '/' ) :
output_file = sModulePath + "/" + output_file
### 저장 파일 경로 설정
output_file_arr = Split_Data(output_file, '/')
saveFileName = ""
savePath = ""
for output_file_arr_num in range(0, GetArraySize(output_file_arr)) :
if output_file_arr_num == GetArraySize(output_file_arr) - 1 :
saveFileName = output_file_arr[output_file_arr_num]
else :
savePath += output_file_arr[output_file_arr_num] + "/"
### 이미지 저장 경로 확인(없으면 생성)
createDirectory(savePath)
### 타이틀, 파일명용 문자열 생성
title = saveFileName.upper().replace(".PNG", "")
saveFileName = savePath + "PST_" + title + ".png"
# title = "Power Spectrum (" + title + ")"
# print(net, sta, loc, chn)
title = net + " " + sta + " " + loc + " " + chn + "\n"
### 기존 파일 삭제
removeFile(saveFileName)
### 시간 데이터 처리
openHourFileFullPath = input_path_idx# + "/hour.idx"
timeArrayData_tmp = []
timeArrayData = []
idx_stat = os.path.getsize(openHourFileFullPath)
# print("Proc_Spectrum : idx file size = ", idx_stat)
with open(openHourFileFullPath) as timedata :
timelines = timedata.read()
timeArrayData_tmp = timelines.split('\n')
nSegCnt = 0
for i in range(0, len(timeArrayData_tmp)) :
tmpArrayData = timeArrayData_tmp[i].replace(' ', '').split('\t')
bDataInAryYN = False
for j in range(0, len(timeArrayData)) :
if tmpArrayData[0] == timeArrayData[j][0] :
# if tmpArrayData[1] == timeArrayData[j][1] :
if tmpArrayData[2] == timeArrayData[j][2] :
bDataInAryYN = True
# print(i, tmpArrayData, timeArrayData[j])
break
if bDataInAryYN == False :
timeArrayData.append(tmpArrayData)
nSegCnt += 1
# # 우선 Segment 수가 47개 이상일 수 없으므로 강제 루프 종료(2019.11.07 김학렬)
# if nSegCnt >= 47 :
# break
# timeArrayData = []
# with open(openHourFileFullPath) as timedata :
# timelines = timedata.read()
# timeArrayData = timelines.split('\n')
# for i in range(0, len(timeArrayData)) :
# timeArrayData[i] = timeArrayData[i].replace(' ', '').split('\t')
### 주파수 데이터 처리
# openAmpFileFullPath = orgfilepath + "/H" + str(jday_split) + ".bin"
# openAmpFileFullPath = input_path + "/H" + str(jday) + ".bin"
openAmpFileFullPath = input_path_bin
freqReadData = []
bin_stat = os.path.getsize(openAmpFileFullPath)
# print("Proc_Spectrum : bin file size = ", bin_stat)
if idx_stat <= 0 or bin_stat <= 0 :
print("Proc_Spectrum : Data Error")
return
with open(openAmpFileFullPath) as freqdata :
freqlines = freqdata.read()
freqReadData = freqlines.split('\n')
for i in range(0, len(freqReadData)) :
if len(freqReadData[i]) <= 0 :
continue
freqReadData[i] = freqReadData[i].replace(' ', '').split('\t')
### 주파수 데이터의 시간 부분을 시간 데이터와 매칭되는 실제 시간으로 치환
timeArrayCnt = []
nCnt = 0
# fileNum = '158'
for i in range(0, len(timeArrayData)) :
if( timeArrayData[i][0] == jday ) :
if nCnt == 0 :
timeArrayCnt.append(timeArrayData[i][1])
else :
bDataYN = False
for k in range(0, len(timeArrayCnt) ) :
if timeArrayCnt[k] == timeArrayData[i][1] :
bDataYN = True
break
if bDataYN == False :
timeArrayCnt.append(timeArrayData[i][1])
for j in range(0, len(freqReadData)) :
if len(freqReadData[j]) <= 0 :
continue
if float(freqReadData[j][1]) >= 100.0 :
continue
if( timeArrayData[i][2] == freqReadData[j][0] ) :
freqReadData[j][0] = timeArrayData[i][1]
else :
continue
else :
continue
# print(len(timeArrayCnt))
for i in range(0, len(freqReadData) - 1) :
if( i == 0 ) :
max = int(freqReadData[i][2])
min = int(freqReadData[i][2])
else :
if( int(freqReadData[i][2]) > max ) :
max = int(freqReadData[i][2])
if( int(freqReadData[i][2]) < min ) :
min = int(freqReadData[i][2])
# print("max = " + str(max))
# print("min = " + str(min))
# time = []
# for i in range(0, len(freqReadData) - 1) :
# freqReadData[i][1] = float(freqReadData[i][1])
freqList = []
for i in range(0, len(freqReadData) - 1) :
if( i == 0 ) :
freqList.append(freqReadData[i][1])
else :
dataYN = False
for j in range(0, len(freqList) ) :
if( freqReadData[i][1] == freqList[j] ) :
dataYN = True
break
if float(freqReadData[i][1]) >= 100.0 :
continue
if( dataYN == False ) :
freqList.append(freqReadData[i][1] )
# freqList = sorted(freqList)
### 주파수 그룹화
nIdx = 1
#arrIntervalNum = []
nGroupCnt = int(grp_cnt)
arrIntervalNum = [ [0 for x in range(2)] for y in range(nGroupCnt) ]
arrAmpInterval = [ [0 for x in range(2)] for y in range(nGroupCnt) ]
# 주요주파수 대역 하드코딩(2019.11.07)
arrAmpInterval[0][0] = 0.0073
arrAmpInterval[0][1] = 0.015
arrAmpInterval[1][0] = 0.12
arrAmpInterval[1][1] = 0.23
arrAmpInterval[2][0] = 0.72
arrAmpInterval[2][1] = 1.4
arrAmpInterval[3][0] = 3.4
arrAmpInterval[3][1] = 6.8
arrAmpInterval[4][0] = 6.8
arrAmpInterval[4][1] = 100
# print(arrIntervalNum)
# print(arrAmpInterval)
# print(freqList)
# sys.exit()
nMajor = 0
nMinor = 0
bChkMajor = False
bChkMinor = False
bChkDataYN = False
bLoop = True
while bLoop :
for i in range(0, len(freqList)) :
if nMajor >= nGroupCnt :
bLoop = False
break
fFreq = round(float(freqList[i]), 6)
fAmpInterval = round(float(arrAmpInterval[nMajor][nMinor]), 6)
fAmpInterval_Max = 0
if bChkMajor == False and bChkMinor == False :
fAmpInterval_Max = round(float(arrAmpInterval[nMajor][1]), 6)
# print(i, len(freqList) - 1, bChkDataYN, bChkMajor, bChkMinor, fFreq, fAmpInterval, nMajor, nMinor)
if bChkMajor == False :
if fFreq >= fAmpInterval :
if bChkMinor == False :
if fFreq >= fAmpInterval_Max :
if i == len(freqList) - 1 :
arrIntervalNum[nMajor][0] = -1
arrIntervalNum[nMajor][1] = -1
nMajor += 1
nMinor = 0
bChkMajor = False
bChkMinor = False
break
else :
continue
arrIntervalNum[nMajor][nMinor] = i
bChkMajor = True
bChkMinor = False
nMinor = 1
bChkDataYN = True
elif bChkMinor == False :
if fFreq >= fAmpInterval :
arrIntervalNum[nMajor][nMinor] = i - 1
bChkMajor = False
bChkMinor = True
nMajor = nMajor + nMinor
nMinor = 0
bChkDataYN = True
else :
if i == len(freqList) - 1 :
if fFreq <= fAmpInterval :
arrIntervalNum[nMajor][nMinor] = i
bChkMajor = False
bChkMinor = True
nMajor = nMajor + nMinor
nMinor = 0
bChkDataYN = True
if bChkDataYN == True :
bChkDataYN = False
else :
if i == len(freqList) - 1 :
if bChkMajor == True and bChkMinor == False :
print("Don't Analysis Data. Process End!!!")
sys.exit()
i = 0
nMajor += 1
nMinor = 0
bChkMajor = False
bChkMinor = False
# print(arrIntervalNum)
# sys.exit()
# for i in range(0, len(freqList)) :
# nIndex = int((float(len(freqList)) / nGroupCnt) * nIdx)
# print(i, nIdx, nIndex, freqList[i])
# if i == nIndex or i == len(freqList) - 1 :
# arrIntervalNum.append(i)
# nIdx += 1
arrGroupFreq = []
fFreqVal = 0.0
nIdx = 1
nIntervalSeq = 0
nCurrentGroupLen = 0
bLoop = True
while bLoop :
for i in range(0, len(freqList)) :
if nIntervalSeq >= nGroupCnt :
bLoop = False
break
# print(i, nIntervalSeq, arrIntervalNum[nIntervalSeq][0], arrIntervalNum[nIntervalSeq][1])
if i > arrIntervalNum[nIntervalSeq][0] and i < arrIntervalNum[nIntervalSeq][1] :
fFreqVal += float(freqList[i])
nCurrentGroupLen += 1
elif i == arrIntervalNum[nIntervalSeq][1] :
fFreqVal += float(freqList[i])
nCurrentGroupLen += 1
arrGroupFreq.append(round(fFreqVal / float(nCurrentGroupLen), 6))
fFreqVal = 0.0
nIntervalSeq += 1
nIdx += 1
nCurrentGroupLen = 0
break
else :
if i == len(freqList) - 1 :
nIntervalSeq += 1
# print(arrGroupFreq)
# print(GetArraySize(arrGroupFreq))
nGroupCnt = GetArraySize(arrGroupFreq)
nGroupFreqStrMaxSize = 0
for i in range(0, len(arrGroupFreq)) :
if nGroupFreqStrMaxSize < arrGroupFreq[i] :
nGroupFreqStrMaxSize = len(str(arrGroupFreq[i]))
for i in range(0, len(arrGroupFreq)) :
if len(str(arrGroupFreq[i])) < nGroupFreqStrMaxSize :
for j in range(0, nGroupFreqStrMaxSize - len(str(arrGroupFreq[i]))) :
arrGroupFreq[i] = str(arrGroupFreq[i]) + "0"
# print(arrGroupFreq)
freqArrayList = [ [0 for x in range(len(timeArrayCnt))] for y in range(len(freqList)) ]
freqGroupArrayList = [ [0 for x in range(len(timeArrayCnt))] for y in range(len(arrGroupFreq)) ]
### 주파수 그룹별 dB값 그룹화
for i in range(0, len(freqReadData) - 1) :
for j in range(0, len(freqList)) :
if freqReadData[i][1] == freqList[j] :
for k in range(0, len(timeArrayCnt)) :
if freqReadData[i][0] == timeArrayCnt[k] :
freqArrayList[j][k] = int(freqReadData[i][2])
break
nFreqVal = [ 0 for x in range(len(timeArrayCnt)) ]
nIdx = 1
nGroupFreqSeq = 0
nCurrentGroupLen = 0
bLoop = True
nGap = 0
# print(arrIntervalNum)
# sys.exit()
while bLoop :
for i in range(0, len(freqArrayList)) :
if nGroupFreqSeq - nGap >= nGroupCnt :
bLoop = False
break
if i < arrIntervalNum[nGroupFreqSeq][0] or i > arrIntervalNum[nGroupFreqSeq][1] :
if i == len(freqArrayList) - 1 :
if nCurrentGroupLen <= 0 :
nGap += 1
nCurrentGroupLen = 0
nGroupFreqSeq += 1
break
else :
continue
for j in range(0, len(freqArrayList[i])) :
if nGroupFreqSeq - nGap >= len(arrIntervalNum) :
nGroupFreqSeq = 0
nFreqVal[j] += int(freqArrayList[i][j])
# print(i, j)
if i > arrIntervalNum[nGroupFreqSeq][0] and i < arrIntervalNum[nGroupFreqSeq][1] :
# if i < arrIntervalNum[nGroupFreqSeq] :
nCurrentGroupLen += 1
elif i == arrIntervalNum[nGroupFreqSeq][1] :
nCurrentGroupLen += 1
# print(nGroupFreqSeq - nGap, nCurrentGroupLen)
for k in range(0, len(nFreqVal)) :
freqGroupArrayList[nGroupFreqSeq - nGap][k] = nFreqVal[k] / nCurrentGroupLen
nFreqVal[k] = 0
nCurrentGroupLen = 0
nGroupFreqSeq += 1
break
else :
if i == len(freqArrayList) - 1 :
if nCurrentGroupLen <= 0 :
nGap += 1
nCurrentGroupLen = 0
nGroupFreqSeq += 1
# print(freqGroupArrayList)
xPix = 537 * fPixelPerInchVal * 2
yPix = 200 * fPixelPerInchVal * 2
fig = plt.figure(figsize=(xPix, yPix), dpi=nDpiVal)
ax = fig.add_subplot(1,1,1)
ax.grid('on', linestyle='--', linewidth=0.5)#, alpha=1)
ymax = max + 50# ((max - min) * 1.1)
ymin = min - 50# ((max - min) * 1.1)
strLimit = ""
if int(ymax) <= 0 :
strLimit = "1"
if len(str(int(ymax))) - 1 == 0 :
strLimit += "00"
else :
for nLimit in range(0, len(str(int(ymax))) - 1) :
strLimit += "0"
# print(ymax, strLimit)
nlim = int(strLimit)
# print(nlim, ymax / nlim, round((float(ymax) / nlim), 1) * nlim)
ymax = int(round((float(ymax) / nlim), 1) * nlim)
# print(ymax)
if int(ymin) >= 0 :
strLimit = "1"
if len(str(int(ymin))) - 1 == 0 :
strLimit += "00"
else :
for nLimit in range(0, len(str(int(ymin))) - 1) :
strLimit += "0"
nlim = int(strLimit)
ymin = int(round((float(ymin) / nlim), 1) * nlim)
# print(ymin)
ymax = -50
ymin = -200
plt.ylim(ymin, ymax)
# plt.grid(True, linestyle='--', linewidth=0.1)
# ax.grid('off', linestyle='--')
ax.set_ylim(ymin, ymax)#[min - 10, max + 10])
yticks = np.arange(ymin, ymax + 1)
ytick = []
for ytick_cnt in range(0, len(yticks)) :
if yticks[ytick_cnt] % 10 == 0 :
ytick.append(yticks[ytick_cnt])
# print(ytick)
# print(yticks)
plt.yticks(yticks)
ax.set_yticks(yticks)
ax.set_yticklabels(yticks)
yticks = ax.yaxis.get_major_ticks()
for index, label in enumerate(ax.get_yaxis().get_ticklabels()) :
if index % 10 != 0 :
yticks[index].set_visible(False)
else :
yticks[index].set_visible(True)
# print(len(freqArrayList[0]))
# print(len(freqArrayList))
clr = [ [0 for x in range(len(timeArrayCnt))] for y in range(len(freqArrayList)) ]
tmpClr = [ [0 for x in range(2)] for x in range(len(freqArrayList)) ]
i = 0
for i in range(0, len(freqArrayList[i])) :
for j in range(0, len(freqArrayList)) :
tmpClr[j][0] = freqArrayList[j][i]
tmpClr[j][1] = 0
nSum = 0
j = 0
for j in range(0, len(tmpClr)) :
if tmpClr[j][1] != 0 :
continue
chkVal = tmpClr[j][0]
nSum = 0
k = 0
for k in range(0, len(tmpClr)) :
if chkVal == tmpClr[k][0] :
nSum += 1
k = 0
for k in range(0, len(tmpClr)) :
if chkVal == tmpClr[k][0] :
tmpClr[k][1] = nSum
# print(tmpClr)
j = 0
for j in range(0, len(clr)) :
# print(j)
# print(str(tmpClr[j][1]) + " , " + str(int((float(tmpClr[j][1]) / len(clr[0])) * 100)) )
clr[j][i] = int((float(tmpClr[j][1]) / len(clr[0])) * 100) * 4
# print(str(i) + " : " + str(clr[i]))
# plt.hist2d(time, freqArrayList[0], (20, 20), cmap=plt.cm.jet)
# plt.colorbar()
# plt.show()
# t = []
# for i in range(0, len(freqArrayList)) :
# t.append(np.array(time))
# x = np.ravel(t, order='C')
# y = np.ravel(freqArrayList, order='C')
#len(freqGroupArrayList)
# for j in range(0, len(arrIntervalNum)) :
# if arrIntervalNum[j][0] >= 0 :
# print(j, "0", freqList[arrIntervalNum[j][0]])
# if arrIntervalNum[j][1] >= 0 :
# print(j, "1", freqList[arrIntervalNum[j][1]])
# print(arrIntervalNum)
for i in range(0, len(freqGroupArrayList)) :
ax.plot(timeArrayCnt, freqGroupArrayList[i], label=arrGroupFreq[i], zorder=0, linewidth=1, alpha=1)
# ax.pcolormesh(xi, yi, zi.reshape(xi.shape), cmap=pqlx)
# sc = ax.scatter(timeArrayCnt, freqArrayList[i], zorder=1, c=clr[i], s=(200 * clr[i]), edgecolor='', marker='.', cmap=pqlx)
# print(len(timeArrayCnt))
xticks = ax.xaxis.get_major_ticks()
nIdx = 1
for index, label in enumerate(ax.get_xaxis().get_ticklabels()) :
if index == 0 : # or index == len(timeArrayData) - 1 :
xticks[index].set_visible(True)
continue
nSize = len(timeArrayCnt) - 1
# print(index, int((nSize / 4) * nIdx))
if index == int((float(nSize) / 4) * nIdx) : #% 100 != 0 :
# print(index)
xticks[index].set_visible(True)
nIdx += 1
else :
xticks[index].set_visible(False)
title += str(len(timeArrayCnt)) + "PSDs : " + year + ":" + jday + " - " + year + ":" + jday + "\n"
plt.xticks(fontsize=8)
plt.yticks(fontsize=8)
plt.xlim(timeArrayCnt[0], timeArrayCnt[len(timeArrayCnt) - 1])
plt.title(str(title), fontsize=15)# 'Spectrum (KS.SEO2.HHZ.2019.021.00.00.00)'
plt.xlabel('Time (HH:mm)')
# plt.ylabel('Power (dB)')
plt.ylabel(r'Power [10log10(m**2/sec**4/Hz)] [dB]')#, fontsize=8)
plt.legend(title='Freq. Grp', loc='lower right', fontsize=8, ncol=2)
# numitems = len(list(ax._get_legend_handles()))
# print(numitems)
# plt.xticks(rotation=45)
plt.subplots_adjust(top=0.81, bottom=0.11, left=0.07, right=0.93)#, left=0.10, right=0.95)
plt.savefig(str(saveFileName))
# plt.colorbar(sc, label="")
# plt.show()
plt.close()
# def Proc_PSD(binfilepath, savepath, org, jday_split, net, sta, chn, loc, grouping_cnt, title, fig_size_x, fig_size_y) :
# def Proc_PSD() :
# def Proc_PSD(orgfilepath, savepath, org, year, jday_split, net, sta, chn, loc, interval_type, grp_cnt) :
def Proc_PSD(input_path_bin, input_path_idx, output_file, jday, year, net, sta, chn, loc) :
### 상대 경로를 절대 경로로 변환
sModulePath = os.getcwd()
sModulePath = sModulePath.replace('\\\\', '/')
sModulePath = sModulePath.replace('\\', '/')
if input_path_bin[0] != '/' and ( input_path_bin[1] != ':' and input_path_bin[2] != '/' ) :
input_path_bin = sModulePath + "/" + input_path_bin
if input_path_idx[0] != '/' and ( input_path_idx[1] != ':' and input_path_idx[2] != '/' ) :
input_path_idx = sModulePath + "/" + input_path_idx
if output_file[0] != '/' and ( output_file[1] != ':' and output_file[2] != '/' ) :
output_file = sModulePath + "/" + output_file
### 저장 파일 경로 설정
output_file_arr = Split_Data(output_file, '/')
saveFileName = ""
savePath = ""
for output_file_arr_num in range(0, GetArraySize(output_file_arr)) :
if output_file_arr_num == GetArraySize(output_file_arr) - 1 :
saveFileName = output_file_arr[output_file_arr_num]
else :
savePath += output_file_arr[output_file_arr_num] + "/"
### 이미지 저장 경로 확인(없으면 생성)
createDirectory(savePath)
### 타이틀, 파일명용 문자열 생성
title = saveFileName.upper().replace(".PNG", "")
saveFileName = savePath + "PSD_" + title + ".png"
# title = "Power Spectral Density (" + title + ")"
title = net + " " + sta + " " + loc + " " + chn + "\n"
### 기존 파일 삭제
removeFile(saveFileName)
# ### JulianDay -> Normal DateTime
# full_jday = [year, jday_split]
# day = int(full_jday[1])
# date = dt.datetime(int(full_jday[0]), 1, 1) + dt.timedelta(day - 1)
# date_split = Split_Data(date.strftime('%Y/%m/%d'), "/")
### 시간 데이터 처리
openHourFileFullPath = input_path_idx# + "/hour.idx"
timeArrayData_tmp = []
timeArrayData = []
idx_stat = os.path.getsize(openHourFileFullPath)
# print("Proc_PSD : hour.idx file size = ", idx_stat)
with open(openHourFileFullPath, 'r') as timedata :
timelines = timedata.read()
timeArrayData_tmp = timelines.split('\n')
nSegCnt = 0
for i in range(0, len(timeArrayData_tmp)) :
tmpArrayData = timeArrayData_tmp[i].replace(' ', '').split('\t')
bDataInAryYN = False
for j in range(0, len(timeArrayData)) :
if tmpArrayData[0] == timeArrayData[j][0] :
# if tmpArrayData[1] == timeArrayData[j][1] :
if tmpArrayData[2] == timeArrayData[j][2] :
bDataInAryYN = True
# print(i, tmpArrayData, timeArrayData[j])
break
if bDataInAryYN == False :
timeArrayData.append(tmpArrayData)
nSegCnt += 1
# # 우선 Segment 수가 47개 이상일 수 없으므로 강제 루프 종료(2019.11.07 김학렬)
# if nSegCnt >= 47 :
# break
# for i in range(0, GetArraySize(timeArrayData)) :
# print(str(timeArrayData[i]))
# print(timeArrayData)
# print(GetArraySize(timeArrayData))
### 주파수 데이터 처리
# openAmpFileFullPath = orgfilepath + "/H" + str(jday_split) + ".bin"
#openAmpFileFullPath = input_path + "/H" + str(jday) + ".bin"
openAmpFileFullPath = input_path_bin
freqReadData = []
bin_stat = os.path.getsize(openAmpFileFullPath)
# print("Proc_PSD : bin file size = ", bin_stat)
if idx_stat <= 0 or bin_stat <= 0 :
print("Proc_PSD : Data Error")
return
with open(openAmpFileFullPath) as freqdata :
freqlines = freqdata.read()
freqReadData = freqlines.split('\n')
for i in range(0, len(freqReadData)) :
if len(freqReadData[i]) <= 0 :
continue
freqReadData[i] = freqReadData[i].replace(' ', '').split('\t')
### 주파수 데이터의 시간 부분을 시간 데이터와 매칭되는 실제 시간으로 치환
timeArrayCnt = []
nCnt = 0
# fileNum = '158'
for i in range(0, len(timeArrayData)) :
if( timeArrayData[i][0] == jday ) :
if nCnt == 0 :
timeArrayCnt.append(timeArrayData[i][1])
else :
bDataYN = False
for k in range(0, len(timeArrayCnt) ) :
if timeArrayCnt[k] == timeArrayData[i][1] :
bDataYN = True
break
if bDataYN == False :
timeArrayCnt.append(timeArrayData[i][1])
for j in range(0, len(freqReadData)) :
if len(freqReadData[j]) <= 0 :
continue
if float(freqReadData[j][1]) > 100.0 :
continue
if( timeArrayData[i][2] == freqReadData[j][0] ) :
freqReadData[j][0] = timeArrayData[i][1]
else :
continue
else :
continue
# print(timeArrayCnt)
# print(len(timeArrayCnt))
for i in range(0, len(freqReadData) - 1) :
if( i == 0 ) :
max = int(freqReadData[i][2])
min = int(freqReadData[i][2])
else :
if( int(freqReadData[i][2]) > max ) :
max = int(freqReadData[i][2])
if( int(freqReadData[i][2]) < min ) :
min = int(freqReadData[i][2])
# print("max = " + str(max))
# print("min = " + str(min))
# time = []
for i in range(0, len(freqReadData) - 1) :
freqReadData[i][1] = float(freqReadData[i][1])
freqList = []
for i in range(0, len(freqReadData) - 1) :
if( i == 0 ) :
freqList.append( freqReadData[i][1] )
else :
dataYN = False
for j in range(0, len(freqList) ) :
if( freqReadData[i][1] == freqList[j] ) :
dataYN = True
break
if float(freqReadData[i][1]) > 100.0 :
continue
if( dataYN == False ) :
freqList.append( freqReadData[i][1] )
freqList = sorted(freqList)
# print(freqList)
# sys.exit()
# fFreqList = []
# for i in range(0, len(freqList)) :
# fFreqList.append(float(freqList[i]))
# print(fFreqList)
# y = sorted(fFreqList)
# print(y)
# freqList = []
# print(freqList)
# for i in range(0, len(fFreqList)) :
# freqList.append(str(fFreqList[i]))
# print(freqList)
# sys.exit()
### 주파수 그룹화
nIdx = 1
arrIntervalNum = []
nGroupCnt = int(grp_cnt)
for i in range(0, len(freqList)) :
nIndex = int((float(len(freqList)) / nGroupCnt) * nIdx)
if i == nIndex or i == len(freqList) - 1 :
arrIntervalNum.append(i)
nIdx += 1
arrGroupFreq = []
fFreqVal = 0.0
nIdx = 1
nIntervalSeq = 0
nCurrentGroupLen = 0
for i in range(0, len(freqList)) :
if i < arrIntervalNum[nIntervalSeq] :
fFreqVal += float(freqList[i])
nCurrentGroupLen += 1
elif i == arrIntervalNum[nIntervalSeq] :
fFreqVal += float(freqList[i])
nCurrentGroupLen += 1
arrGroupFreq.append(round(fFreqVal / float(nCurrentGroupLen), 6))
fFreqVal = 0.0
nIntervalSeq += 1
nIdx += 1
nCurrentGroupLen = 0
# print(arrGroupFreq)
nGroupFreqStrMaxSize = 0
for i in range(0, len(arrGroupFreq)) :
if nGroupFreqStrMaxSize < arrGroupFreq[i] :
nGroupFreqStrMaxSize = len(str(arrGroupFreq[i]))