Randow DataFrame

[ArnaudCoulon]

Hey guys !

I was trying to make a 4*54 random numbers DataFrame. I spent 1 hour trying to figure out how to do it and I wrote this code :

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import pandas as pd from random import randint df = pd.DataFrame() for i in range(53):     data1 = pd.DataFrame([randint(1,3)])     data2 = pd.DataFrame([randint(1,3)])     data3 = pd.DataFrame([randint(1,3)])     data4 = pd.DataFrame([randint(1,3)])     data = pd.DataFrame(pd.concat([data1, data2, data3, data4], axis =1, join_axes=[data1.index]))       df = df.append(data, ignore_index = True)

I'm satisfied with the result but I think there should be a better way to do it.

What do you think about it ? :)

Have a nice day all !

[ka06059]

just in case u have 100+ (data1,data2,data3....) datas for each loop u can create nested lists without having to label variables manually.

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for i in range(53):   datas = []   for numdata in range(3):  #4 items created in each datas variable       datas.append(pd.DataFrame([randint(1,3)]))   data = pd.DataFrame(pd.concat(datas, axis =1, join_axes=[datas[0].index])) # datas[0] is data1   df = df.append(datas, ignore_index = True)