astype float across columns pandas

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Cesar
01 Jun 2017
1df = pd.read_csv("weather.tsv", sep="\t",  
2                 dtype={'Day': str,'Wind':int64})
3df.dtypes
4
source
Abril
11 Jan 2019
1In [273]: cols = df.columns.drop('id')
2
3In [274]: df[cols] = df[cols].apply(pd.to_numeric, errors='coerce')
4
5In [275]: df
6Out[275]:
7     id    a  b  c  d  e    f
80  id_3  NaN  6  3  5  8  1.0
91  id_9  3.0  7  5  7  3  NaN
102  id_7  4.0  2  3  5  4  2.0
113  id_0  7.0  3  5  7  9  4.0
124  id_0  2.0  4  6  4  0  2.0
13
14In [276]: df.dtypes
15Out[276]:
16id     object
17a     float64
18b       int64
19c       int64
20d       int64
21e       int64
22f     float64
23dtype: object
24
source
Yuri
09 Nov 2017
1cols = df.columns[df.dtypes.eq('object')]
2
source
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