When doing classification modeling, you need to get data by rows in DataFrame for training and testing.
import pandas as pd dict=[[1,2,3,4,5,6],[2,3,4,5,6,7],[3,4,5,6,7,8],[4,5,6,7,8,9],[5,6,7,8,9,10]] data=(dict) print(data) for indexs in : print([indexs].values[0:-1])
Results:
/usr/bin/python3.4 /home/ubuntu/PycharmProjects/pythonproject/findgaoxueya/ 0 1 2 3 4 5 0 1 2 3 4 5 6 1 2 3 4 5 6 7 2 3 4 5 6 7 8 3 4 5 6 7 8 9 4 5 6 7 8 9 10 [1 2 3 4 5] [2 3 4 5 6] [3 4 5 6 7] [4 5 6 7 8] [5 6 7 8 9] Process finished with exit code 0
The above method of traversing DataFrame in Python according to rows is all that I have shared with you, and I hope it will give you a reference, and I hope you will support me more.