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ArrangeDataset.py
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ArrangeDataset.py
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from numpy import loadtxt
import numpy as np
import matplotlib.pyplot as plt
import sys
def full(filename):
path="C:/Users/ROG/Downloads/musdb18/Temp/"
savepath="C:/Users/ROG/Downloads/musdb18/excels/"
def refine(a,b,c,d):
data= np.zeros((len(np.unique(np.array(b))),4))
i=0
k=0
while(k<len(a)):
if(i==0):
data[i][0]=b[k] #time
data[i][1]=a[k] #BPM
data[i][2]=c[k] #pitch
data[i][3]=d[k] #vol
else:
while(b[k]==b[k-1]):
k=k+1
data[i][0]=b[k] #time
data[i][1]=a[k] #BPM
data[i][2]=c[k] #pitch
data[i][3]=d[k] #vol
i=i+1
k=k+1
return data, data[i-1][0],(i-1)
bpm0 = loadtxt(path+filename+"0bpm.txt", comments="#", delimiter=",", unpack=False)
bpm1 = loadtxt(path+filename+"1bpm.txt", comments="#", delimiter=",", unpack=False)
bpm2 = loadtxt(path+filename+"2bpm.txt", comments="#", delimiter=",", unpack=False)
bpm3 = loadtxt(path+filename+"3bpm.txt", comments="#", delimiter=",", unpack=False)
bpm4 = loadtxt(path+filename+"4bpm.txt", comments="#", delimiter=",", unpack=False)
time0 = loadtxt(path+filename+"0time.txt", comments="#", delimiter=",", unpack=False)
time1 = loadtxt(path+filename+"1time.txt", comments="#", delimiter=",", unpack=False)
time2 = loadtxt(path+filename+"2time.txt", comments="#", delimiter=",", unpack=False)
time3 = loadtxt(path+filename+"3time.txt", comments="#", delimiter=",", unpack=False)
time4 = loadtxt(path+filename+"4time.txt", comments="#", delimiter=",", unpack=False)
pitch0 = loadtxt(path+filename+"0pitch.txt", comments="#", delimiter=",", unpack=False)
pitch1 = loadtxt(path+filename+"1pitch.txt", comments="#", delimiter=",", unpack=False)
pitch2 = loadtxt(path+filename+"2pitch.txt", comments="#", delimiter=",", unpack=False)
pitch3 = loadtxt(path+filename+"3pitch.txt", comments="#", delimiter=",", unpack=False)
pitch4 = loadtxt(path+filename+"4pitch.txt", comments="#", delimiter=",", unpack=False)
vol0 = loadtxt(path+filename+"0vol.txt", comments="#", delimiter=",", unpack=False)
vol1 = loadtxt(path+filename+"1vol.txt", comments="#", delimiter=",", unpack=False)
vol2 = loadtxt(path+filename+"2vol.txt", comments="#", delimiter=",", unpack=False)
vol3 = loadtxt(path+filename+"3vol.txt", comments="#", delimiter=",", unpack=False)
vol4 = loadtxt(path+filename+"4vol.txt", comments="#", delimiter=",", unpack=False)
tab0, s0 , size0 =refine(bpm0,time0,pitch0,vol0)
tab1, s1 , size1 =refine(bpm1,time1,pitch1,vol1)
tab2, s2 , size2 =refine(bpm2,time2,pitch2,vol2)
tab3, s3 , size3 =refine(bpm3,time3,pitch3,vol3)
tab4, s4 , size4 =refine(bpm4,time4,pitch4,vol4)
# plt.plot(bpm0)
# plt.plot(bpm1)
# plt.plot(bpm2)
# plt.plot(bpm3)
# plt.plot(bpm4)
# plt.show()
# print(s0)
# print(s1)
# print(s2)
# print(s3)
# print(s4)
max= s0
if(max<s1):
max=s1
if(max<s2):
max=s2
if(max<s3):
max=s3
if(max<s4):
max=s4
#Creating Number of columns in master list
x=0.00
count=0
while(x<= max):
count=count+1
x=round(x+0.01,2)
# Master List
data= np.zeros((count,16))
# Creating the Master List
x=0
count=0
while(x<= max):
data[count][0]=x
x=round(x+0.01,2)
count=count+1
b0=b1=b2=b3=b4=t0=t1=t2=t3=t4=0
p0=p1=p2=p3=p4=v0=v1=v2=v3=v4=0
count=0
while(data[count][0]< max):
# 1st Oscillator
if(t0==size0):
t0=t0-1
if(data[count][0]==tab0[t0][0]):
data[count][1]=tab0[b0][1]
data[count][2]=tab0[b0][2]
data[count][3]=tab0[b0][3]
b0=b0+1
t0=t0+1
if(data[count][0]!=tab0[t0][0]):
data[count][1]=tab0[b0][1]
data[count][2]=tab0[b0][2]
data[count][3]=tab0[b0][3]
# # 2nd Oscillator
if(t1==size1):
t1=t1-1
if(data[count][0]==tab1[t1][0]):
data[count][4]=tab1[b1][1]
data[count][5]=tab1[b1][2]
data[count][6]=tab1[b1][3]
b1=b1+1
t1=t1+1
if(data[count][0]!=tab1[t1][0]):
data[count][4]=tab1[b1][1]
data[count][5]=tab1[b1][2]
data[count][6]=tab1[b1][3]
# # 3rd Oscillator
if(t2==size2):
t2=t2-1
if(data[count][0]==tab2[t2][0]):
data[count][7]=tab2[b2][1]
data[count][8]=tab2[b2][2]
data[count][9]=tab2[b2][3]
b2=b2+1
t2=t2+1
if(data[count][0]!=tab2[t2][0]):
data[count][7]=tab2[b2][1]
data[count][8]=tab2[b2][2]
data[count][9]=tab2[b2][3]
# # 4th Oscillator
if(t3==size3):
t3=t3-1
if(data[count][0]==tab3[t3][0]):
data[count][10]=tab3[b3][1]
data[count][11]=tab3[b3][2]
data[count][12]=tab3[b3][3]
b3=b3+1
t3=t3+1
if(data[count][0]!=tab3[t3][0]):
data[count][10]=tab3[b3][1]
data[count][11]=tab3[b3][2]
data[count][12]=tab3[b3][3]
# # 5th Oscillator
if(t4==size4):
t4=t4-1
if(data[count][0]==tab4[t4][0]):
data[count][13]=tab4[b4][1]
data[count][14]=tab4[b4][2]
data[count][15]=tab4[b4][3]
b4=b4+1
t4=t4+1
if(data[count][0]!=tab4[t4][0]):
data[count][13]=tab4[b4][1]
data[count][14]=tab4[b4][2]
data[count][15]=tab4[b4][3]
count=count+1
# plt.plot( data[:,1])
# plt.plot( data[:,2])
# plt.plot( data[:,3])
# plt.plot( data[:,4])
# plt.plot( data[:,5])
# plt.show()
rows=data
import xlwt
workbook = xlwt.Workbook()
sheet = workbook.add_sheet("Sheet")
for i in range(len(rows)):
for j in range(len(rows[i])):
sheet.write(i, j, rows[i][j])
workbook.save(savepath+filename+".xls")
import os
txt="listtest.txt"
with open(txt) as f:
lines=f.read().splitlines()
for i in lines:
full(i)
print("Done :: ",i)