def drawCorrect():
x0,y0=getXt1AndXt2.readCsv('../static/file/20180921185434冷却曲线.csv')
x,y = getXt1AndXt2.correct('../static/file/20180921185434冷却曲线.csv')
xx = [x[0], x[-1]]
yy = [y[0], y[-1]]
print(yy)
temp1=[]
for i in range(len(x0)):
temp={'x':x0[i],'y':y0[i]}
temp1.append(temp)
temp2={
'start':{
'x':xx[0],
'y':yy[0]
},
'end':{
'x':xx[1],
'y':yy[1]
}
}
print(temp2)
datas={
'data1':temp1,
'data2':temp2
}
content = json.dumps(datas)
resp = Response_headers(content)
return resp
def hotGraph(filename, str):
htext = '原始升温曲线'
xtext = 'Temperature(℃)'
ytext = 'Heatflow(a.u.)'
x, y = getXt1AndXt2.readCsv(filename)
cpValue = 'red'
ptext = '升温曲线'
drawPlot(htext, xtext, ytext, x, y, cpValue, ptext, str)
def drawCorrectOriginHeat():
x1, y1 = getHmAndTm.correctHot(path3, **kwargs) # 这个显示的是纠正后的数据
xx = [x1[0], x1[len(x1) - 1]]
yy = [y1[0], y1[len(x1) - 1]]
x0, y0 = getXt1AndXt2.readCsv(path3)
temp1 = []
for i in range(len(x0)):
temp = {'x': x0[i], 'y': y0[i]}
temp1.append(temp)
temp2 = {
'start': {
'x': xx[0],
'y': yy[0]
},
'end': {
'x': xx[1],
'y': yy[1]
}
}
datas = {'data1': temp1, 'data2': temp2}
return Response(json.dumps(datas), content_type='application/json')
def echarts():
x,y = getXt1AndXt2.readCsv('../static/file/20180921185434冷却曲线.csv')
temp1=[]
for i in range(len(x)):
temp={'x':x[i],'y':y[i]}
temp1.append(temp)
# with open('../static/file/20180921185434冷却曲线.csv', encoding="UTF-8") as f:
# datas = f.readlines()
# temps = []
# for data in datas:
# x, y = data.split(',')
# temp={'x':x,'y':y}
# temps.append(temp)
# datas = {
# "data": temps
# }
# print(temps)
datas = {
"data": temp1
}
content = json.dumps(datas)
resp = Response_headers(content)
return resp
def correctHot(filename, **kwargs):
x0, y0 = getXt1AndXt2.readCsv(filename)
miny = y0.index(min(y0)) # 最低温度点
x = []
y = []
for i in range(len(y0)):
y.append(-y0[i] / y0[miny] * 100)
x.append(x0[i])
# 用来寻找终点b
count = 0
for i in range(len(x)):
count = count + 1 # count为5℃所包含的数据点
if x[i] - x[0] >= 5:
break
# 剔除升温数据温度最后5℃包含的数据点
for i in range(miny, len(x) - count, 1):
xx = [x[i], x[i + count]]
yy = [y[i], y[i + count]]
a, b = optimize.curve_fit(f, xx, yy)[0]
angle = math.atan(a) * 180 / math.pi # 将斜率转换为角度
# print("%f-%f:%f" % (x[i], x[i+count], angle))
if angle < 5: # 如果角度小于5，取该点为终点
temp1 = i
break
# 用来寻找起点a
ang = []
# 去掉升温数据温度开始5℃的数据点
for i in range(miny, count + 1, -1):
xx = [x[i - count], x[i]]
yy = [y[i - count], y[i]]
a, b = optimize.curve_fit(f, xx, yy)[0]
angle = math.atan(a) * 180 / math.pi
ang.append(angle)
# print("%f-%f:%f"%(x[i-count],x[i],angle))
maxAng = max(ang)
for i in range(len(ang)):
if ang[i] == maxAng:
temp = miny - i # 两个数据之间的位置换算
break
# 在ab之间的点，存入x,y中
# print('correct')
# print(x[temp], y[temp])
# print(x[temp1], y[temp1])
x1 = []
y1 = []
if ('heatStart' not in kwargs and 'heatEnd' not in kwargs):
for i in range(temp, temp1 + 1):
x1.append(x0[i])
y1.append(y0[i])
elif ('heatStart' in kwargs and 'heatEnd' in kwargs):
for i in range(len(x)):
if (abs(x[i] - kwargs['heatStart']) < 0.001):
flag1 = i
break
for i in range(len(x)):
if (abs(x[i] - kwargs['heatEnd']) < 0.001):
flag2 = i
break
for i in range(flag1, flag2 + 1):
x1.append(x0[i])
y1.append(y0[i])
else:
if ('heatStart' in kwargs):
for i in range(len(x)):
if (abs(x[i] - kwargs['heatStart']) < 0.01):
flag = i
break
for i in range(flag, temp1 + 1):
x1.append(x0[i])
y1.append(y0[i])
else:
for i in range(len(x)):
if (abs(x[i] - kwargs['heatEnd']) < 0.01):
flag = i
break
for i in range(temp, flag + 1):
x1.append(x0[i])
y1.append(y0[i])
print(x1[0], x1[-1])
return x1, y1