不好意思打擾各位大大，我是近幾個月剛學習python的新手
目前我有一筆csv檔，匯入後想將計算後的csv檔轉成DataFrame的格式方便後續使用plotly去可視化，但我將他轉DataFrame的時候，我想因為是在迴圈的狀態下，導致匯出的不是同一個DataFreme(如圖一)，我想請問怎麼修改將它變成同一個DataFrame且如圖二的樣子?
謝謝

===============以下程式碼================

import pandas as pd
import numpy as np
filename = 'C:/Users/smpss/OneDrive/桌面/many data.csv'
df = pd.read_csv(filename, header=[0,1,2,3], index_col=[0])
df.columns=df.columns.droplevel(0)
df.columns=df.columns.droplevel(1)

df

import math
import plotly.express as px
import plotly.figure_factory as ff

df.columns=df.columns.droplevel(0)
#print("C","C","C","C","C")
for n in range(19400,19415):
a = df["x"]
df = df.fillna(0)
b = np.array(a)
c = df["y"]
df = df.fillna(0)
d = np.array(c)

e = df["x"]
df = df.fillna(0)
f = np.array(e)
g = df["y"]
df = df.fillna(0)
h = np.array(g)

p=0
q=0

AB = [float(b[n:n+1,p:p+1]),float(d[n:n+1,p:p+1]),float(b[n+1:n+2,p:p+1]),float(d[n+1:n+2,p:p+1])]
AC = [float(b[n:n+1,p:p+1]),float(d[n:n+1,p:p+1]),float(f[n:n+1,q+7:q+8]),float(h[n:n+1,q+7:q+8])]

dx1 = float(b[n+1:n+2,p+3:p+4]) - float(b[n:n+1,p+3:p+4])
dy1 = float(d[n+1:n+2,p+3:p+4]) - float(d[n:n+1,p+3:p+4])
dx2 = float(f[n:n+1,q+10:q+11]) - float(b[n:n+1,p+3:p+4])
dy2 = float(h[n:n+1,q+10:q+11]) - float(d[n:n+1,p+3:p+4])

dist = np.sqrt((dx1)**2+(dy1)**2)
fps = 30 #(pxl)
Velocity = dist*fps
#box = 40cm,camera = 640pxl. 
#so 40/640 = 1cm/16pxl  and we need 1.2 cm 
#so we can get 1.2*16=19.2
#if Ans >= 19.2 ~> 20

def angle(AB, AC):
    dx1 = float(b[n+1:n+2,p:p+1]) - float(b[n:n+1,p:p+1])
    dy1 = float(d[n+1:n+2,p:p+1]) - float(d[n:n+1,p:p+1])
    dx2 = float(f[n:n+1,q+7:q+8]) - float(b[n:n+1,p:p+1])
    dy2 = float(h[n:n+1,q+7:q+8]) - float(d[n:n+1,p:p+1])
    """
    print(dx1)
    print(dy1)
    print(dx2)
    print(dy2)
    
    """
    
    angle1 = math.atan2((float(b[n+1:n+2,p:p+1]) - float(b[n:n+1,p:p+1])),(float(d[n+1:n+2,p:p+1]) - float(d[n:n+1,p:p+1])))
    angle1 = float(angle1 * 180/math.pi)

print(angle1)

    angle2 = math.atan2((float(f[n:n+1,q+7:q+8]) - float(b[n:n+1,p:p+1])),(float(h[n:n+1,q+7:q+8]) - float(d[n:n+1,p:p+1]))) 
    angle2 = float(angle2 * 180/math.pi)

print(angle2)

    if angle1*angle2 >= 0:
        included_angle = abs(angle1-angle2) 
    else:
        included_angle = abs(angle1) + abs(angle2)
    if included_angle > 180:
        included_angle = 360 - included_angle
    return included_angle
n==n+1
ang1 = angle(AB, AC)


if float(ang1) <= 45 and Velocity>=20: 
    
    AAA = "A"
    BBB = "B"
    CCC = round(((n-1)*0.0001),4)
    DDD = round((n*0.0001),4)
    EEE = "C"
    
    KKK = [AAA,BBB,CCC,DDD,EEE]

    df2=pd.DataFrame({'':[KKK]},index=list('1'))   
    print(df2)

else:

    continue