import numpy as np import pandas as pd a1=[] for q in range(10): ar1=[q,q+1,q+2,q+3] a1.append(ar1) n1=np.array(a1) df1 = pd.DataFrame(n1,columns=["t1","t2","t3","t4"],index=range(1,11)) #df1.to_json("data/1.json") df1.to_csv("data/1.csv") df2=pd.read_csv("data/1.csv",index_col=0) print(df1) print(df2)