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rt60_plot.py
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rt60_plot.py
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import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import h5py
sns.set_theme()
abc=h5py.File("rt60_anno_room_20.hdf5","r")
cdf=h5py.File("rt60_anno_room_10.hdf5","r")
kcc=h5py.File("rt60_anno_room.hdf5","r")
rt_125=np.zeros((1))
rt_250=np.zeros((1))
rt_500=np.zeros((1))
rt_1000=np.zeros((1))
rt_2000=np.zeros((1))
rt_4000=np.zeros((1))
rt_125_10=np.zeros((1))
rt_250_10=np.zeros((1))
rt_500_10=np.zeros((1))
rt_1000_10=np.zeros((1))
rt_2000_10=np.zeros((1))
rt_4000_10=np.zeros((1))
rt_125_20=np.zeros((1))
rt_250_20=np.zeros((1))
rt_500_20=np.zeros((1))
rt_1000_20=np.zeros((1))
rt_2000_20=np.zeros((1))
rt_4000_20=np.zeros((1))
for r in range(20000):
rt_125=np.concatenate((rt_125,kcc['room_nos']['room_'+str(r)]['rt60'][:,0]),axis=0)
rt_125_10=np.concatenate((rt_125_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,0]),axis=0)
rt_125_20=np.concatenate((rt_125_20,abc['room_nos']['room_'+str(r)]['rt60'][:,0]),axis=0)
rt_250=np.concatenate((rt_250,kcc['room_nos']['room_'+str(r)]['rt60'][:,1]),axis=0)
rt_250_10=np.concatenate((rt_250_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,1]),axis=0)
rt_250_20=np.concatenate((rt_250_20,abc['room_nos']['room_'+str(r)]['rt60'][:,1]),axis=0)
rt_500=np.concatenate((rt_500,kcc['room_nos']['room_'+str(r)]['rt60'][:,2]),axis=0)
rt_500_10=np.concatenate((rt_500_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,2]),axis=0)
rt_500_20=np.concatenate((rt_500_20,abc['room_nos']['room_'+str(r)]['rt60'][:,2]),axis=0)
rt_1000=np.concatenate((rt_1000,kcc['room_nos']['room_'+str(r)]['rt60'][:,3]),axis=0)
rt_1000_10=np.concatenate((rt_1000_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,3]),axis=0)
rt_1000_20=np.concatenate((rt_1000_20,abc['room_nos']['room_'+str(r)]['rt60'][:,3]),axis=0)
rt_2000=np.concatenate((rt_2000,kcc['room_nos']['room_'+str(r)]['rt60'][:,4]),axis=0)
rt_2000_10=np.concatenate((rt_2000_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,4]),axis=0)
rt_2000_20=np.concatenate((rt_2000_20,abc['room_nos']['room_'+str(r)]['rt60'][:,4]),axis=0)
rt_4000=np.concatenate((rt_4000,kcc['room_nos']['room_'+str(r)]['rt60'][:,5]),axis=0)
rt_4000_10=np.concatenate((rt_4000_10,cdf['room_nos']['room_'+str(r)]['rt60'][:,5]),axis=0)
rt_4000_20=np.concatenate((rt_4000_20,abc['room_nos']['room_'+str(r)]['rt60'][:,5]),axis=0)
'''
rt_1000=np.concatenate((rt_1000,abc['room_nos']['room_'+str(r)]['rt60'][:,3]),axis=0)
rt_2000=np.concatenate((rt_2000,abc['room_nos']['room_'+str(r)]['rt60'][:,4]),axis=0)
rt_4000=np.concatenate((rt_4000,abc['room_nos']['room_'+str(r)]['rt60'][:,5]),axis=0)
'''
n=np.arange(6,step=0.1)
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_125,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_125_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_125_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_125.png",bbox_inches='tight')
plt.clf()
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_250,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_250_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_250_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_250.png",bbox_inches='tight')
plt.clf()
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_500,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_500_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_500_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_500.png",bbox_inches='tight')
plt.clf()
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_1000,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_1000_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_1000_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_1000.png",bbox_inches='tight')
plt.clf()
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_2000,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_2000_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_2000_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_2000.png",bbox_inches='tight')
plt.clf()
fig, axs = plt.subplots(3, 1)
fig.tight_layout(pad=2.0)
axs[0].hist(rt_4000,bins=n)
axs[0].set_title("t 30db")
axs[1].hist(rt_4000_10,bins=n,color='orange')
axs[1].set_title("t 10db")
axs[2].hist(rt_4000_20,bins=n,color='green')
axs[2].set_title("t 20db")
#plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.savefig("rt60_hist_4000.png",bbox_inches='tight')
'''
plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.hist(rt_250,bins=n)
plt.savefig("rt60_hist_20db_250.png",bbox_inches='tight')
plt.clf()
plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.hist(rt_500,bins=n)
plt.savefig("rt60_hist_20db_500.png",bbox_inches='tight')
plt.clf()
#plt.boxplot([rt_125,rt_250,rt_500,rt_1000,rt_2000,rt_4000],showmeans=True,vert=True)
plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.hist(rt_1000,bins=n)
plt.savefig("rt60_hist_20db_1000.png",bbox_inches='tight')
#plt.xticks([1,2,3,4,5,6],('125','250','500','1000','2000','4000'))
plt.clf()
plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.hist(rt_2000,bins=n)
plt.savefig("rt60_hist_20db_2000.png",bbox_inches='tight')
plt.clf()
plt.title("RT 60 Box Plot")
plt.xlabel("Time In Seconds")
plt.hist(rt_4000,bins=n)
plt.savefig("rt60_hist_20db_4000.png",bbox_inches='tight')
'''