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img_psd_maker_fromto.py
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img_psd_maker_fromto.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
import colorsys
fPixelPerInchVal = 0.026458333 * 0.393701
nDpiVal = 96
grp_cnt = 5
# 테스트용 스크립트
#python img_psd_maker_month_year.py -fp=D:/Project/EQM/DATA/temp/PSD -o=KS -n=KS -s=SEO2 -c=HHZ -l=-- -sd=20191101 -ed=20191130 -sp=D:/Project/EQM/DATA/temp/PSD/KS.SEO2.HHZ.2019.png
#python img_psd_maker_month_year.py -fp=./PSD -o=KS -n=KS -s=SEO2 -c=HHZ -l=-- -sd=20191101 -ed=20191130 -sp=./PSD/KS.SEO2.HHZ.2019.png
#python img_psd_maker_month_year.py -fp=./PSD -o=KS -n=KS -s=SEO2 -c=HHZ -l=-- -y=2019 -sj=274 -ej=275 -sp=./PSD/KS
#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 revised_rgb_to_hsv(r, g, b):
(h, s, v) = colorsys.rgb_to_hsv(r/255, g/255, b/255)
h *= 360
s *= 100
v *= 100
return h, s, v
def juldate(year, month, day):
jmonth = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334]
jday = jmonth[month - 1] + day
if (year % 4 == 0 and year % 100 != 0) or year % 400 == 0:
if month > 2:
return jday + 1
return jday
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()
try :
os.chdir(chk_path)
dir_lst = [chk_path for chk_path in os.listdir('.') if os.path.isdir(chk_path)]
except Exception as err :
print("GetDirectoryList Error chdir(%s) : code(%s)" % (chk_path, err))
return "ERR"
# 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 = ""
# root_path = root_path.replace("/./", "/")
for (path, dirname, files) in os.walk(root_path) :
for f in files :
if f == filename :
retFileName = path + "/" + f
break
elif filename.find('*') != -1 :
retFileName = path + "/" + f
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(analBinFileList, analIdxFileList, jday_idx_arr, savepath, net, sta, chn, loc, year, st_jday, ed_jday, intervaltype) :
def Proc_Spectrum(analBinFileList, analIdxFileList, year_idx_arr, jday_idx_arr, savepath, net, sta, chn, loc) :
### 저장 파일 경로 설정
output_file_arr = Split_Data(savepath, '/')
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] + "/"
### 저장 경로 생성
createDirectory(savePath)
### 타이틀, 파일명용 문자열 생성
saveFileName = savePath + "PST_" + saveFileName.upper().replace(".PNG", "") + ".png"
title = net + " " + sta + " " + loc + " " + chn + "\n"
### 기존 파일 삭제
removeFile(saveFileName)
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 = -50
ymin = -200
plt.ylim(ymin, ymax)
ax.set_ylim(ymin, ymax)
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])
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)
cmap = plt.cm.get_cmap("rainbow")
colors = cmap(np.linspace(0, 1, 7))
timeArrayCnt_g = []
timeArrayCnt_tot = 0
for nDataIdx in range(0, len(jday_idx_arr)) :
### 시간 데이터 처리
openHourFileFullPath = analIdxFileList[nDataIdx]
timeArrayData_tmp = []
timeArrayData = []
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
### 주파수 데이터 처리
openAmpFileFullPath = analBinFileList[nDataIdx]
freqReadData = []
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_idx_arr[nDataIdx] ) :
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 = []
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] )
### 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)
# print(len(freqArrayList[0]))
# print(len(freqArrayList))
nClrIdx = 0
### 일 단위로 색상 설정
if nDataIdx >= len(colors) :
nClrIdx = nDataIdx % len(colors)
else :
nClrIdx = nDataIdx
### 일 단위로 색상 설정 END
### X축(시간 데이터) 강제 동기화
if len(timeArrayCnt_g) > 0 :
for i in range(0, len(timeArrayCnt_g)) :
if i >= len(timeArrayCnt) :
break
timeArrayCnt[i] = timeArrayCnt_g[i]
strLabel = year_idx_arr[nDataIdx] + "." + jday_idx_arr[nDataIdx]
for i in range(0, len(freqGroupArrayList)) :
if i == 0 :
ax.plot(timeArrayCnt, freqGroupArrayList[i], label=strLabel, zorder=0, linewidth=1, alpha=1, color=colors[nClrIdx])
else :
ax.plot(timeArrayCnt, freqGroupArrayList[i], zorder=0, linewidth=0.8, alpha=1, color=colors[nClrIdx])
# 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)
### 시간 배열을 동일 시:분 으로 강제 동기화 하기 위해 설정
if nDataIdx == 0 :
for nTmArrNum in range(0, len(timeArrayCnt)) :
timeArrayCnt_g.append(timeArrayCnt[nTmArrNum])
else :
if len(timeArrayCnt_g) < 47 :
for nTmArrNum in range(0, len(timeArrayCnt)) :
if nTmArrNum < len(timeArrayCnt_g) :
continue
timeArrayCnt_g.append(timeArrayCnt[nTmArrNum])
### total PSD 누적
timeArrayCnt_tot += len(timeArrayCnt)
st_year = year_idx_arr[0]
st_jday = jday_idx_arr[0]
ed_year = year_idx_arr[len(year_idx_arr) - 1]
ed_jday = jday_idx_arr[len(jday_idx_arr) - 1]
# title += str(len(timeArrayCnt)) + "PSDs : " + str(year) + ":" + str(st_jday) + " - " + str(year) + ":" + str(ed_jday) + "\n"
title += str(timeArrayCnt_tot) + "PSDs : " + str(st_year) + ":" + str(st_jday) + " - " + str(ed_year) + ":" + str(ed_jday) + "\n"
plt.xticks(fontsize=8)#, rotation=45)
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)
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.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(analBinFileList, analIdxFileList, jday_idx_arr, savepath, net, sta, chn, loc, year, st_jday, ed_jday, intervaltype) :
def Proc_PSD(analBinFileList, analIdxFileList, year_idx_arr, jday_idx_arr, savepath, net, sta, chn, loc) :
### 저장 파일 경로 설정
output_file_arr = Split_Data(savepath, '/')
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] + "/"
### 저장 경로 생성
createDirectory(savePath)
### 타이틀, 파일명용 문자열 생성
title = saveFileName.upper().replace(".PNG", "")
saveFileName = savePath + "PSD_" + title + ".png"
# print(savePath, saveFileName)
# title = "Power Spectral Density (" + title + ")"
title = net + " " + sta + " " + loc + " " + chn + "\n"
### 기존 파일 삭제
removeFile(saveFileName)
# freqList_Arr = []
# freqGroupArrayList_Arr = []
# xpix = 470 * fPixelPerInchVal * 2
# ypix = 400 * fPixelPerInchVal * 2
xpix = 607 * fPixelPerInchVal
ypix = 531 * fPixelPerInchVal
# plt.rc(usetex = True)
fig = plt.figure(figsize=(xpix, ypix), dpi=nDpiVal)
# fig = plt.figure(figsize=(8,5), dpi=100)
ax = fig.add_subplot(1,1,1)
ax.grid('on', linestyle='--', linewidth=0.5)#, alpha=1)
ymax = -50 #max + 50# ((max - min) * 1.1)
ymin = -200 #min - 50# ((max - min) * 1.1)
plt.ylim(ymin, ymax)
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])
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)
# ### 날짜별로 색상 변경
# 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
# cname = []
# for name, hex in matplotlib.colors.cnames.items() :
# cname.append(name)
# print(len(cname))
# sys.exit()
# hsv = [0 / 360, 100 / 100, 100 / 100]
h = 0
s = 100
v = 100
r, g, b = matplotlib.colors.hsv_to_rgb([h / 360, s / 100, v / 100])
cname = []
for i in range(0, len(jday_idx_arr)) :
if i == 0 :
cname.append([r, g, b])
# print(i, cname[0])
else :
h, s, v = matplotlib.colors.rgb_to_hsv([r, g, b])
h = h * 360
s = s * 100
v = v * 100
h = h + (360 / len(jday_idx_arr))
if h >= 360 :
h = h % 360
if v >= 5 :
v -= 5
else :
v = 100
# print(h, s, v)
r, g, b = matplotlib.colors.hsv_to_rgb([h / 360, s / 100, v / 100])
# print(i, r, g, b)
cname.append([r, g, b])
cmap = plt.cm.get_cmap("rainbow")
colors = cmap(np.linspace(0, 1, 7))
# print(cname)
# sys.exit()
timeArrayCnt_tot = 0
for nDataIdx in range(0, len(jday_idx_arr)) :
### 시간 데이터 처리
openHourFileFullPath = analIdxFileList[nDataIdx]
timeArrayData_tmp = []
timeArrayData = []
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
# for i in range(0, GetArraySize(timeArrayData)) :
# print(str(timeArrayData[i]))
# print(timeArrayData)
# print(GetArraySize(timeArrayData))
### 주파수 데이터 처리
openAmpFileFullPath = analBinFileList[nDataIdx]
freqReadData = []
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_idx_arr[nDataIdx] ) :
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)
### 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]))
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(freqList))] for y in range(len(timeArrayCnt)) ]
### 주파수 그룹별 dB값 그룹화
for i in range(0, len(freqReadData) - 1) :