pandas convert float to int

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Mohamed-Ali
21 Feb 2016
1>>> df['C'] = df['C'].apply(np.int64)
2>>> print(df)
3...    A  B  C         D
4... 0  8  0  1  6.226750
5... 1  1  9  9  8.522808
6... 2  1  4  2  7.739108
source
Jessica
17 Apr 2019
1df['col'] = df['col'].astype(int)
source
Ken
08 Aug 2020
1df['DataFrame Column'] = df['DataFrame Column'].astype(float)
2
source
Edoardo
03 Jul 2018
1>>> df
2          A         B     C         D
30  0.475103  0.355453  0.66  0.869336
41  0.260395  0.200287   NaN  0.617024
52  0.517692  0.735613  0.18  0.657106
6>>> df[list("ABCD")] = df[list("ABCD")].fillna(0.0).astype(int)
7>>> df
8   A  B  C  D
90  0  0  0  0
101  0  0  0  0
112  0  0  0  0
source
Veronica
08 Jun 2019
1In [39]:
2
3df['2nd'] = df['2nd'].str.replace(',','').astype(int)
4df['CTR'] = df['CTR'].str.replace('%','').astype(np.float64)
5df.dtypes
6Out[39]:
7Date         object
8WD            int64
9Manpower    float64
102nd           int32
11CTR         float64
122ndU        float64
13T1            int64
14T2            int64
15T3            int64
16T4           object
17dtype: object
18In [40]:
19
20df.head()
21Out[40]:
22        Date  WD  Manpower   2nd   CTR  2ndU   T1  　　T2   T3     T4
230   2013/4/6   6       NaN  2645  5.27  0.29  407   533  454    368
241   2013/4/7   7       NaN  2118  5.89  0.31  257   659  583    369
252  2013/4/13   6       NaN  2470  5.38  0.29  354   531  473  　　383
263  2013/4/14   7       NaN  2033  6.77  0.37  396   748  681    458
274  2013/4/20   6       NaN  2690  5.38  0.29  361   528  541    381
28
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