import pandas as pd
df = pd.read_csv('16_July.csv',sep =',')
In = df.columns
a = df[In[2]].values.tolist()
b = df[In[3]].values.tolist()
c =[]
d = df[In[1]].values.tolist()
#print (a)
for i in range(len(d)):
	c.append(10)
#print (c)	
a.append(40.471605)
b.append(44.181050)
c.append(25)
d.append(0.8)
data ={"centroid_lat": a, "centroid_lon": b,"car_hours":c,"peak_hour":d}
df1 = pd.DataFrame(data)
df1.to_csv("16_July_con.csv")