解决特定情况下导出方案文件名日期不对的问题

analysis/data_deal.py

@@ -0,0 +1,107 @@
+import matplotlib
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.rcParams['font.sans-serif']=['SimHei']
+plt.rcParams['axes.unicode_minus']=False
+
+
+x=np.arange(0,np.pi,0.01)
+y=np.sin(x)*0.5
+
+
+# 添加方波
+def add_line(x):
+    ret=[]
+    length=len(x)
+    num=length//10
+    index=0
+    for i in x:
+        t=(index//num)
+        if((t&1)!=0):
+            ret.append(0.1*t)
+        else:
+            ret.append(0)
+        index+=1
+    return ret
+y=add_line(x)+y
+
+# 添加噪声
+def add_random(x):
+    ret=[]
+    length=len(x)
+    index_table=[]
+    for i in range(10):
+        index_table.append(int(np.random.random_sample()*10000%length))
+    # print(index_table)
+    for i in range(length):
+        if(i in index_table):
+            ret.append(x[i]+np.random.random_sample()-0.5)
+        else:
+            ret.append(x[i])
+    return ret
+
+# 滤波
+def my_filter(x):
+    ret=[]
+    sub=[]
+    temp=np.sum(x[0:10])/10
+    t=0
+    t_p=0
+    k=0.005
+    signal=False
+    for i in x:
+        t_p=t
+        # t=t*0.9+i*0.1
+        t=temp
+        temp=(temp*9+i)/10
+        t_p=t-t_p
+        if(t_p>k):
+            signal=True
+        elif(t_p<-k):
+            signal=False
+        if(signal):
+            ret.append(0.3)
+        else:
+            ret.append(0)
+        sub.append(t_p)
+    return ret,sub
+
+
+
+# 卡尔曼
+class kalman:
+    LastP=0.02 #上次估算的协方差
+    Now_P=0# 当前估算的协方差
+    out=0# 输出值
+    Kg=0#卡尔曼增益
+    Q=0.001# 过程噪声协方差
+    R=.0543# 观测噪声协方差
+    def calc(self,value:int):
+        self.Now_P=self.LastP+self.Q
+        self.Kg=self.Now_P/(self.Now_P+self.R)
+        self.out=self.out+self.Kg*(value-self.out)
+        self.LastP=(1-self.Kg)*self.Now_P
+        return self.out
+def my_kalman(x):
+    ret=[]
+    k=kalman()
+    for i in x:
+        ret.append(k.calc(i))
+    return ret
+
+y2=add_random(y)
+y3,y4=my_filter(y)
+
+def show_xy(xy_list:list):
+    figure = plt.figure(figsize=(14,7))
+    ax = figure.add_axes([0.1,0.1,0.8,0.8])
+    index=0
+    for xy in xy_list:
+        line,=ax.plot(xy[0],xy[1],)
+        line.set_label("index:{d}".format(d=index))
+        ax.legend()
+        index+=1
+    plt.show()
+show_xy([(x,y),(x,y3),(x,y4)])