Python for Data Science – Concatenating and transforming data
Chapter 2 – Data Preparation Basics
Segment 4 – Concatenating and transforming data
import numpy as np
import pandas as pd
from pandas import Series, DataFrame
DF_obj = pd.DataFrame(np.arange(36).reshape(6,6))
DF_obj
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0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
0 | 0 | 1 | 2 | 3 | 4 | 5 |
1 | 6 | 7 | 8 | 9 | 10 | 11 |
2 | 12 | 13 | 14 | 15 | 16 | 17 |
3 | 18 | 19 | 20 | 21 | 22 | 23 |
4 | 24 | 25 | 26 | 27 | 28 | 29 |
5 | 30 | 31 | 32 | 33 | 34 | 35 |
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自学咖网 » Python for Data Science – Concatenating and transforming data
自学咖网 » Python for Data Science – Concatenating and transforming data