>>> from surpyval.datasets import Bearing
>>> Bearing.df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 23 entries, 0 to 22
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Cycles to Failure (millions) 23 non-null float64
dtypes: float64(1)
memory usage: 312.0 bytes
Cycles to Failure (millions) | |
0 |
|
1 |
|
2 |
|
3 |
|
4 |
|