在 python 列中将这些对象转换为 int64

Question

Another simple question. I have to clean up some data, and a few of the columns need to be in int64 format instead of the objects that they are now (example provided). how would I go about uniformly re-formatting these columns.

print(data.Result)
0    98.8 PG/ML   H
1           8.20000
2    26.8 PG/ML   H
3    40.8 PG/ML   H
4            CREDIT
5          15.30000

Answer 1

You could parse with regex:

import re

def parse_int(s):
    """
    A fast memoized function which builds a lookup dictionary then maps values to the series
    """
    map_dict = {x:float(re.findall('[0-9.]+',x)[0]) for x in s.unique() if re.search('[0-9.]+',x)}
    return s.map(map_dict)

data['Result'] = parse_int(data['Result'])

The function above takes all the unique values from the series and pairs them with its float equivalent. This is an extremely efficient approach in the case of repeated values. The function then maps these value pairs ( map_dict ) to the original series ( s ).