To fix this, you can open the file in append mode (‘a’) and then use np.savetxt to write to that file.
import numpy as np
from scipy.stats.stats import pearsonr
list = ['01', '02','03','04','05','06','07','08','09','10']
month='NOV2016'
# Open the file in append mode
with open('result.dat', 'a') as f:
for date in list:
path='D:/Match-Nov2016/24-match-ground-imsra-0.25/'
data=np.loadtxt(path+'3DIMG_'+date+month+'_DAILY.dat')
lats=data[:,0]
lons=data[:,1]
ground=data[:,2]
model=data[:,5]
bias=np.mean(model-ground)
rms=np.sqrt(np.mean((ground-model)**2))
std=np.std(ground-model)
corr=pearsonr(ground,model)
corr=corr[0]
bias=np.round(bias,2)
rms=np.round(rms,2)
std=np.round(std,2)
corr=np.round(corr,2)
stat=np.zeros((np.size(bias),4))
stat[:,0]=np.reshape(bias,(np.size(bias)))
stat[:,1]=np.reshape(rms,(np.size(rms)))
stat[:,2]=np.reshape(std,(np.size(std)))
stat[:,3]=np.reshape(corr,(np.size(corr)))
print(stat)
# Use np.savetxt to write to the file
np.savetxt(f, stat, fmt='%9.2f')
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